The AI leader joins Hy-Tek to scale its IntraOne software platform

Hy-Tek Intralogistics, a leading provider of warehouse and distribution technology, is excited to announce today the appointment of Jim Peters as Senior Director, Software Development. In this leadership role, Peters will oversee the engineering and product development strategy, focusing on scaling high-performance teams and advancing the architecture of the company’s software solutions.


Peters joins Hy-Tek with over 18 years of experience in senior leadership roles, bringing deep expertise in systems architecture, cloud computing, and machine learning. He has a proven track record of building and scaling engineering organisations, having successfully managed global teams across on-site and offshore locations in the US, Europe, Australia, and Hong Kong.


Most recently, Peters served as Senior Software Engineering Manager at Vanderlande, where he led engineering and product teams in North America and Europe to develop next-generation Warehouse Execution Systems (WES). During his tenure, he was instrumental in updating legacy systems to modern development practices and piloting an Agentic AI development program to assist with system review and refactoring.


Robert Kluck, Vice President of Software Development at Hy-Tek Intralogistics, said: “Jim’s extensive background in WES development and his forward-thinking approach to AI and machine learning make him an invaluable asset to our technology leadership team. His ability to transform organisations using Agile methodologies aligns perfectly with our mission to deliver cutting-edge software solutions to our customers.”


At Hy-Tek, Peters will leverage his proficiency in transforming organisations and his experience with AI platforms to enhance decision support and development velocity. His leadership will be pivotal in driving the continuous evolution of Hy-Tek’s software offerings, ensuring they remain at the forefront of the supply chain industry.

  • Digital Supply Chain

Caroline Grey, Co-Founder and CRO, Treefera, explores how better visibility is fixing blind spots

The world is getting noisier. Climate volatility, environmental degradation and political instability are increasing both the number and the severity of disturbances that ripple through supply chains. With each disturbance, new complexities arise from new variables, like soil health and rainfall shifts, regulatory changes and geopolitical friction. These variables compound into an opaque risk ecosystem.

The unfortunate reality is that traditional data collection methods, aimed at managing supply chains and reducing risks across the all-important first mile, now can’t keep up in this challenging environment. Manual data collection or static surveys can’t process this rising tide of complexity fast enough to inform decisions, meaning businesses don’t have access to critical information. The result? Without this primary data, businesses are “flying blind,” which means they don’t have control over their supply chain operational performance, thus impacting revenue.

Technology plays a crucial role in quietening the noise, restoring clarity and providing leaders with the insights needed to improve supply chain resilience. We’re already seeing that satellite imagery, drone information and ground truth data can all be elevated using AI agents, allowing businesses to make better decisions.

The first-mile challenge

Today, 60% of business costs and risks occur within the first mile of logistical supply chains, meaning poor management of risk in these sourcing regions can directly impact business success. At the same time, regulatory pressure and requirements are growing, with the impending EUDR and EU omnibus legislation. Businesses need to have access to the right processes and technology solutions to ensure compliance.

For the EUDR, this means that any business that operates within, or sells to, Europe will need to ensure no deforestation occurs within their supply chain. They will also need to backdate evidence from as far back 2020. While timelines for this regulation remain uncertain, acting now to prepare for compliance should be a business priority today.

Given the scale of first-mile risk, visibility is essential to build resilience. This can only be done by leaning into the right mix of technologies, including the smart use of AI to generate insights that allow for greater, better-informed decision-making. AI allows us to abstract complexity – leveraging the massive acceleration in the capabilities of satellites over the past 10 years and turning disparate and disconnected data into actionable insights at global scale and near-instant speed.

AI-nativity needs to be the first step

While the entire supply chain can be opaque, the first mile has historically been hardest to manage, with information about sourcing regions and commodity origins often fragmented, remote and expensive. Businesses need access to insightful data that uncovers what’s really happening on the ground.

Data governs the flow of capital, and the quality of this data can equip enterprises with the ability to scope out and invest in appropriate sourcing options. Satellites, drones and ground truth data help with this, but only to a point – they provide surface level information without the depth of insight necessary for action.

AI-enabled data systems make it possible to track first-mile activity in real time. These tools translate raw, real-world data into scalable insights that decision makers can act on. They can also be tailored to specific business needs – from monitoring particular geographies to aligning with the compliance frameworks that matter most.

How does this work in practice? Take a large brand sourcing cocoa in Madagascar, for example, which needs to assess the risks posed by deforestation in order to meet EUDR standards. By utilising AI and satellite technology, they can map their entire supply chain to assess deforestation, tenure and labour risks, while producing automated DDS (Due Diligence Statement) reports ready to be submitted to the EU.

Agentic AI is the enabler here, synthesising complex and vast real-world datasets into expert-grade insights that are accessible at speed and scale. AI agents build on traditional AI models through autonomy and comprehensive self-learning mechanisms. Ultimately, this technology supports businesses in understanding the risk landscape within the first mile. And when incorporated into models that include regulatory and compliance frameworks, businesses can manage accountability and maintain their governance commitments.

Building deep insights from historic blind spots

The factors that affect global supply chains show no sign of slowing down – it’s time for businesses to take a different approach to risk identification and management, especially within the first mile. By ensuring access to accurate, scalable data and utilising real-time monitoring, businesses are laying the foundation for unwavering supply chain resilience.

For the C-Suite, the stakes are clear: revenue security and enterprise value now hinge on visibility at the first mile. In a world of climate shocks, political instability and regulatory pressure, legible supply chain data is no longer a technical nice-to-have; it is the foundation for protecting continuity, defending margins and sustaining growth over the long term.

  • Digital Supply Chain

As pressure mounts to deliver faster and more reliably, the ability to adjust in motion becomes a vital competitive edge

Supply chain disruption is no longer an anomaly; it’s a constant. From geopolitical tension and rising fuel costs to climate-related events and shifting regulations, logistics leaders are navigating an environment defined by volatility.

But that’s only part of the story. Rising accident rates and escalating costs are adding further strain: large truck crashes have increased since 2024, despite widespread safety efforts. At the same time, fleets are grappling with tightening regulatory and compliance pressures, from evolving emissions rules, such as the EPA’s proposed heavy-duty vehicle standards, to more stringent Compliance, Safety, Accountability (CSA) scoring.

As a result, the concept of supply chain “resilience” has evolved from a buzzword into an operational necessity. At the centre of that resilience is real-time visibility, not only across shipments and inventories, but across fleet safety and compliance too.

While many organisations have made significant strides in digitising warehouse operations, improving demand forecasting, and modernising port logistics, one area remains critically under-addressed: road transport. Despite being one of the chain’s most vulnerable and variable links, the road remains a blind spot for many. Recent research reflects this gap – more than 70% of respondents admitted their fleets lack real-time visibility into road conditions.

Supply chain leaders are grappling with an acute driver shortage that threatens the backbone of road transport. Across the EU, Norway, and the UK, there is already a shortfall of over 233,000 truck drivers, a gap projected to swell to more than 745,000 by 2028 as older drivers retire without enough new entrants to replace them. In the UK alone, an alarming 55% of HGV drivers are aged between 50 and 65, with an average age of 51, signalling that a significant portion of the workforce may leave within the next decade.

Against this backdrop, supply chain leaders must embrace real-time road intelligence, powered by artificial intelligence and edge-computing vision systems, as a key strategic tool for visibility, adaptability, and risk management.

Road transport: A dynamic environment with limited visibility

These mounting challenges highlight the urgent need for stronger oversight and proactive risk management across fleets. Unlike static warehouse environments or planned shipping schedules, roads are dynamic and unpredictable. They’re impacted by human behaviour, weather conditions, infrastructure quality, and spontaneous events, any of which can delay deliveries or damage goods. Yet visibility into these disruptions often remains alarmingly limited.

A recent survey revealed that while 84% of safety leaders identified fleet safety as a high priority, 60% admitted they have no formal fleet safety technology in place, frequently relying on nothing more than basic GPS tracking. Moreover, 46% of surveyed professionals are still unclear about the full financial impact of accidents on their businesses, underscoring how visibility gaps continue to be a serious liability. Without accurate, real-time data on driver behaviour, vehicle conditions, and external risks, companies are left reactive rather than proactive, a critical threat to supply chain resilience.

Edge-computing vision systems powered by artificial intelligence (AI) address this challenge by collecting and processing road-level data directly at the source in real-time. These systems provide immediate insight into traffic conditions, driver behaviour, and environmental hazards, turning the road from a risk point into a source of actionable intelligence. They also play a crucial role in optimising operational costs, a large fleet of delivery trucks means high expenses, and keeping these under control is a constant challenge, especially for companies managing hundreds of vehicles making multiple deliveries each day.

For instance, when weather patterns shift quickly or congestion builds on a critical route, teams can reallocate resources, reroute vehicles, or update delivery schedules in real-time. This shift from reactive management to proactive planning is one of the key advantages of road intelligence.

Systems capable of analysing 100% of drive time add another layer of value, capturing full journey context to support decision-making, coaching and incident resolution.

AI and risk mitigation

AI is a core enabler of dynamic risk mitigation. Rather than relying on historical averages or static route plans, modern AI-driven systems identify emerging patterns and adapt recommendations based on current conditions.

This includes spotting subtle indicators of risk, such as shifts in driver behaviour that suggest fatigue, or clusters of hard braking in a specific area that might point to a developing road hazard. As foundational models evolve, AI is even being trained to predict the likely movements of drivers and vehicles, enabling earlier intervention to prevent incidents before they occur. With this level of intelligence, logistics teams can anticipate disruptions before they escalate and respond proactively to keep operations on track.

Crucially, advanced driver safety platforms today do far more than just warn of lane departures or potential forward collisions. They continuously analyse driving performance in real time, issuing immediate voice alerts to correct risky actions, turning each potential hazard into a safer outcome on the spot. For example, a driver about to tailgate or showing early signs of drowsiness can receive a prompt to adjust, helping avert accidents before they happen. Many systems also incorporate positive reinforcement, recognising and rewarding safe driving habits to strengthen safety cultures across fleets.

This kind of dynamic responsiveness is essential during peak demand periods, extreme weather events, or disruptions to global trade routes. As pressure mounts to deliver faster and more reliably, the ability to adjust in motion becomes a vital competitive edge.

Building resilience into the last mile

The last mile has become one of the most scrutinised segments of the supply chain, where delays and miscommunication are most visible to customers. It’s also where efficiency and traceability are most challenging to maintain, particularly during external disruptions.

Real-time road intelligence provides the operational agility to protect this final delivery stage. By integrating road-level data into dispatch and routing systems, teams can make micro-adjustments that reduce delays, improve customer communication, and avoid costly rework.

This agility can also help prevent compliance breaches, protect product quality, and reinforce customer trust in temperature-sensitive or high-value logistics. Fleet managers using AI-driven road intelligence platforms have already seen measurable improvements, such as a 50% reduction in road accidents, by combining real-time alerts with proactive coaching sessions.

Closing the gaps: From compliance to ESG

Beyond operational continuity, road intelligence also plays a critical role in helping organisations meet growing regulatory and ESG requirements. Visibility into emissions, idling time, route efficiency, and driver behaviour helps teams identify areas for improvement and demonstrate measurable progress against sustainability goals.

It also supports ethical business practices, ensuring safety is prioritised, risky behaviours are addressed constructively, and drivers are given the tools to perform at their best. This reinforces a safety-first culture contributing to long-term resilience, driver retention, and public trust.

Real-time road data provides the insight and accountability needed to align transport operations with broader environmental and governance commitments.

Looking forward: A strategic asset, not a tactical add-on

Real-time road intelligence isn’t a tactical bolt-on; it’s becoming foundational to building resilient supply chains. By embedding AI-powered insights into core logistics processes, organisations gain the flexibility to respond faster, the foresight to avoid costly disruptions, and the intelligence to meet evolving expectations.

In a world where supply chains must operate precisely in dynamic environments, the ability to see and respond at the edge is crucial.

The road has long been treated as the most unpredictable link in the supply chain. However, with the right intelligence in place, it can become one of the most strategic. AI, when fuelled by scale, speed and visibility, becomes a force for good, reducing accidents, empowering drivers and creating a safer ecosystem for everyone on the road.

  • Digital Supply Chain

At Kinexions 2025, Jennifer Roberts, Supply Chain Leader, IBM who talked us through how the supply chain is transforming at the global giant

Jennifer Roberts, Supply Chain Leader at IBM, is visibly buzzing as she shares her favourite Kinexions moments so far. “Kinexions is really exciting,” she says, having flown in from Raleigh-Durham, North Carolina to be here. “The first thing for me is getting to see the people I work with at Kinaxis who help advance the solution within IBM,” she explains. “We have a great account management team that’s helping us look to the future. And the energy here is always exciting. They really are a motivating company when it comes to thinking about the future. I’m really thankful that IBM invested in the ability of our teams to join the event this year.”

Roberts and IBM’s C-level executive suite for supply chain are located at Raleigh-Durham’s Research Triangle Park where IBM has a large facility covering 600 acres. “It’s a good place to be,” she says. “But a large part of my team is broadly located throughout the US in Poughkeepsie, New York, Rochester and Minnesota. And then we also have a team down in Guadalajara, Mexico. The global supply chain is located everywhere, but the people I work with are primarily in those locations.” 

Roberts leads Demand Planning Operations for IBM’s hardware manufacturing division, supporting mainframe, power, and storage products across both internal and contract manufacturing. She supports transformation efforts within the Demand Supply Planning and Inventory organisations.

Supply chain transformation

Roberts specialises in configuring and modelling planning architecture in Kinaxis and SAP, translating, automating and transforming business processes, while identifying and collecting the relevant data from various large unstructured data sources. Her goal is to optimise supply chain processes and tools, reduce costs, improve efficiency and enhance customer satisfaction. 

The words “revolution” and “transformation” have embodied the discourse at Kinexions and these are two concepts that play out in a major way at IBM. “Our business is all about transformation,” she explains. “We are constantly looking to evolve to solve a variety of different areas of opportunity. There’s certainly never a day where we aren’t thinking about what the next disruption may be. And so within our organisation, we focus a lot on resiliency, protecting our supply chain and ensuring we can deliver quality to our clients.” Indeed, IBM onboarded Kinaxis around five years ago to help transform Demand Planning and Supply Planning. Kinaxis Maestro provides IBM with the transparency needed to see how changes in demand and supply affect each other, utilising the most current data to run multiple concurrent scenarios.

AI in supply chain

IBM’s supply chain transformation efforts are currently focused heavily on AI. Of course, IBM has been leaders in the AI space for quite some time with the Watsonx products, but supply chain is considered client zero within IBM for that platform. “We are focused on efficiencies in the organisation, digital transformation, developing digital twins and taking enterprise data and bringing it together so that we can orchestrate a plan that is visible to all through one source of truth,” she reveals. “And that’s something we can all execute against seamlessly.”

“Everyone wants data in real-time. Everyone is looking for accuracy of data. They’re looking for answers to problems faster than we’ve ever been able to perform before,” she explains. “When the next big diversion comes, the next big distraction, we need to be able to quickly align ourselves, not just within the supply chain, but upstream with our sales organisation, who are feeding us all the sales opportunities and giving us insight into where the business is going. And then our downstream suppliers need to be equally connected. So, we partner with those organisations to ensure it’s all very seamless and that our data flows in both directions so we can manage results. So, one of the advantages of our internal AI supply chain tool, which we call CSCA 360 (Cognitive Advisor), is to get a 360-degree view of the world considering all those products. And access is a big part of that because we run our S&OP and MRP (Material Requirements Planning) processes through that tool, along with our inventory management process as well.”

According to Roberts, the biggest opportunities for Supply Chain at IBM lay within ways to mitigate disruptions earlier, boosting resiliency and agility, while protecting the supply chain. “There are things that hit us between the eyes at the last minute, and we have to be as responsive as possible to solve those problems. Data insights and being able to assess them proactively, is so important. And that’s where I see our organisation heading more strategically, through taking the data, ingesting it faster, making decisions on it, using generative AI and focusing on allowing people to dig into the data more quickly and get answers on information they’re seeking. We’ve been using agentic AI for years, but we’re really starting to dig into what it can do for us now in terms of impacting productivity.”

The human touch

Although Kinexions has been showcasing transformation and technological revolution it has also stressed the importance of work culture, something vitally important to Roberts. “Our leadership drives the mindset of transformation being at the forefront of where we’re going, in order to keep up with the demands of the future,” she tells us. “We’re always being asked to look at where we can create opportunities within the business and not just taking the leadership’s advice on what we should be doing. We look to all our employees and get their ideas from the bottom up; deciding whether or not there’s business value that can be returned from things that aren’t always visible.

“I think the most important part of your business is your people. Without having the ability of your people to be transparent in where they see opportunities, you really are going to hold yourselves back. Keep an open mind, ask a lot of questions, listen closely. I’m always told you have two ears and one mouth. And I think as a leadership team, you should allow your employees to come forth with ideas, plus, we need to think about why they are suggesting them – well, it’s because they’re impacted every day by what’s going on around them. So, listen.”

We sat down with Abe Eshkenazi, CEO of ASCM, to dig into the organisation’s focus points, and how CHAINge is addressing supply chain’s needs

Tell me a bit about your background, and how you got into supply chain.

Early in my career, I spent quite a bit of time in operations and materials management. We didn’t call it supply chain back in the day – it went by a number of different terms. Not surprisingly, given my role within ASCM, I worked closely with supply chain professionals, not only to elevate the role of the supply chain professional, but to understand the impact that supply chain has on business and society. 

At ASCM, we’re focused on not only supporting that competent, capable individual, but ensuring that organisations are responsible in terms of using supply chain to really enable consumers and patients to get what they need at a reasonable price and reasonable time. This is what supply chain is about. My background combines that business management education and deep engagement with supply chain professionals. This gives me a strong appreciation for not only their challenges, but the opportunities the field faces today.

Tell me about the planning for CHAINge NA this year. What were you looking to achieve when putting ideas together?

Today, supply chain professionals are trying to balance efficiency with geographic diversity and political resilience. They’re trying to put those things together and identify what would make an individual do their job better and exchange that information with others. So our planning is centered around a key theme, which is: how do we equip supply chain professionals for what’s next? 

The systems that we built for speed and cost optimisation are under stress right now. They’re struggling under the weight of complexity, volatility, consumer demands, and all the disruptions that we’re facing today. We’re being called today to rethink not only how quickly and cheaply we can move things and get them to the consumer, but how responsibly, transparently, and resiliently we can operate today. Our hope is that the engagement part of the event enables individuals to exchange information and walk away with insights and actionable strategies that can be taken back to their organisations and implemented. We’re truly looking for that engagement from the attendees. This is an event for the attendees, by the attendees.

It’s also about making the contact and relationships that we all depend on. We’re all seeking opportunities and examples of organisations that have done it better or have responded easier to the challenges that we’re facing today. This provides individuals with an opportunity to engage. We had an opportunity to do this at our European event, after which attendees overwhelmingly indicated that the engagement part – the opportunity to exchange information learned from each other – was a key element of the event itself. We’re trying to replicate that, but with the amount of issues that the US is facing versus the rest of the world, the topics are going to be a little bit different here.

What are the core topics covered at CHAINge NA that you think are most helpful for supply chain professionals?

We need to take a temperature of the current environment, and not surprisingly, we structure the event around several core themes that we’re all facing today. First, resilient and agile supply chains. The adaptability that’s required today is unlike any time that we’ve ever faced. We’ve had disruptions before, and we’ve responded as an industry. Today, we’re continuing to respond, but the pressures on these individuals due to day-to-day uncertainty has created a very different environment.

The second core topic is emerging technologies. As the focus on resiliency and agility becomes much more critical, there are only a few ways to gather the data necessary to enable organisations to make informed decisions. Not surprisingly, AI, digital twins, and a whole host of scenario planning technology tools are a focus for a lot of organisations today. Digital transformation is happening in almost every organisation to shore up their visibility, their transparency, and their traceability.

Also, advancing sustainability practices. We can’t forget that at the end of the day, we still need to be sustainable as an industry. This has been a huge focus within supply chain. It’s taken a little bit of a backseat in the current environment, but organisations are still focused on ensuring that they are sustainable and ethical in their business practices. Lastly, no discussion can be had without understanding what the talent availability is, what their capabilities are, and whether we are ensuring that we do have the right talent.

How important is collaboration (accelerated by things like CHAINge) in supply chain, especially as the landscape becomes more complex?

In today’s environment, as we focus on visibility and on connecting all parts of our supply chain end-to-end, we understand the demand signals clearly so that we can address them appropriately. Collaboration is no longer optional – it’s essential. No single individual organisation can solve today’s challenges on their own, whether it’s navigating geopolitical tensions, managing risk in a global network, or even driving sustainability. The solutions demand cross-functional and industry collaboration. It used to be that the Chief Supply Chain Officer in the back room was only called upon when there was a crisis. Well, I think we’ve got enough crises today that we need to push that individual into the front office.

First, we need to enable them to use their voice at the table to advocate for appropriate supply chain practices, but also in combination with a wide range of other roles. These are the teams that are now addressing these issues. It’s no longer just a supply chain issue; it’s an organisational issue. It’s a societal issue that we now need to address, and there’s only one way to address that; that’s through collaboration within the organisation, as well as with your partners, your vendors, and your vendor’s vendor. This is a very dynamic environment today, and enabling organisations to have that complete visibility and connectivity is critical.

There’s been a lot of talk about a shortage of talent across supply chain; how big an issue is this, from your perspective? And how can it be overcome?

From our perspective, it’s one of the defining issues of our time. As supply chain has moved from the back office to the boardroom, so has the demand for skilled professionals. More often than not, supply chain people come out of finance or engineering. In today’s environment – a very diverse workforce – digital natives are coming into the workforce. They’re not only adaptable, but very comfortable with modern technology. It’s a little bit of a reverse from the leadership that we have in supply chain today, that may still be using that Excel spreadsheet on their systems. Supply chain has the demand for those skilled individuals.

To address this, we’re focused on a number of things. First, expanding the awareness of supply chain as a rewarding career path, which our salary and satisfaction surveys confirm. Secondly, talking openly about investing in ongoing professional development. We’ve been to a lot of conferences and whether we’re talking about AI, sustainability, or disruptions, at the end of the discussion, it always comes down to people. We should be talking about the people at the beginning of the discussion as opposed to the end of it. We need to create that opportunity for individuals to see that they can not only make a difference, but that their voice is heard and followed on within their organisation. That’s what we’re preparing supply chain professionals for. 

We need to provide an inclusive workplace that attracts and retains that diverse talent. As I indicated before, individuals coming into the workforce are digital natives. They’re very adept at AI and they’re more than willing to jump in with the technology. We need to enable them with problem solving, critical thinking, and experience on the job. I couldn’t be more excited about the individuals coming into the workforce today and the focus, and they’re able to change the world through supply chain.

How can supply chain professionals approach the challenge of ever-changing regulatory requirements?

Financial markets and supply chains do not like uncertainty. We like certain demand signals so we can ensure that our supplies are appropriately managed. Supply chain professionals need to have robust systems to monitor changes and provide that data, or the regulatory information and policy individuals reporting become significant. Among the concerns that we have is that more often than not, it’s become regulatory or policy and it becomes a checklist. Part of that concern is whether we’re really focused on really making a change, or focused just on those compliance checklists that often drive down to minimum effect.

Today, technology helps, but so does developing a culture of compliance and resiliency. Once again, collaboration matters, sharing best practices across industries, and enabling individuals to understand that there are ways to respond to the regulatory and the policy changes. 

What are some of the most exciting innovations happening in supply chain today?

I think the combination of the people and technology is what’s going to make an exponential difference. On the technology side, tools like advanced analytics, AI, and digital twins are transforming how we forecast, manage risk, and build resiliency. The real innovation is combining cutting edge technology with a highly skilled, adaptable workforce. I heard a fantastic quote the other day: ‘AI is not going to take your job; an individual using AI is going to take your job’. That’s where the focus is right now – enabling individuals to use technology to really leverage that and enable organisations to be much more responsive and agile, as they address demands.

  • Digital Supply Chain
  • Events
  • Host Perspectives

Frank Baldrighi, Business Development Manager at Getac, explains why digital transformation across the supply chain overdue.

Digital transformation is driving significant change across the global supply chain, leading to the adoption of new, innovative business models and cutting-edge technologies. The ability to adapt to these changes is crucial for companies aiming to remain competitive and deliver exceptional value to their customers.

Technology plays a pivotal role in accelerating change, helping companies to automate operations and enhance productivity. The modern workplace is evolving, with a growing emphasis on flexibility, sustainability, and employee well-being. Companies must navigate the challenges of integrating new systems and processes, a reality that requires a cultural shift towards innovation, experimentation, and continuous learning.

The benefits of embracing change are substantial, including improved quality, increased efficiency, and enhanced customer experiences. To successfully manage change, companies must measure its impact using data and insights to inform decision-making. Leadership plays a critical role, with a clear vision and strategy essential for success. By fostering a culture of adaptability and continuous improvement, companies can thrive in the dynamic landscape of digital transformation.

The case for (rebooting) digital transformation

Since the early days of the COVID-19 pandemic, industry has learnt several key lessons:

  • Worker health and safety are key priorities for business
  • Employees are critical talent and need to be deployed strategically
  • Asset-based industries like transport & logistics can benefit from remote monitoring and operation
  • These same industries also need the ability to make decisions in the field, on the edge

As organisations embrace digital transformation, many face significant challenges stemming from outdated technology and processes, which can hinder their ability to initiate this critical transformation effectively.

The goal of digital transformation is to move businesses along a customised path, from adding automation process steps to fully autonomous operations. Along the way, enterprises will pass various milestones that reduce the fraction of human involvement and orchestration into the process: from done by humans, through done with humans, to done for humans.

The key for asset-driven industries is to begin with the desired goals in mind, and establish key performance indicators (KPIs) to measure progress toward those goals. The work of digital transformation involves breaking down business operations into manageable processes that can be orchestrated or automated with the help of technology.

Technology drivers of digital transformation

Data, the currency of digital transformation, enables several technologies to build new capabilities and deliver enterprises’ desired results.

Some of the technologies that can propel digital transformation include:

  • Artificial intelligence and machine learning, which enable autonomous decision-making at the data source.
  • Robotics, which performs routine, monotonous tasks independently or in collaboration with workers.
  • Extended reality-XR (augmented reality-AR / virtual reality-VR / mixed reality/MR), which empowers workers to collaborate remotely without being physically on site.
  • Internet of Things (IoT) / Industrial Internet of Things (IIoT), which include sensors embedded in assets that transmit data about the health of machines. This data enables predictive maintenance to maximise uptime, asset life, and capital payback.
  • Digital twins, a simulation of all physical assets and their interdependencies, enable enterprises to proactively predict system functions before changes are made.
  • 5G and network infrastructure for connectivity of IIoT-embedded machines
  • Cloud computing, which enables infinite computing scale while increasing resiliency, and security.

Selecting which of these technologies best fits depends on the digital maturity of the company in question and the KPIs they intend to measure.

Digital transformation isn’t always smooth sailing

According to a 2020 McKinsey research report, 70% of enterprises who pursue digital transformation find their momentum stalls at some point. It is worth understanding the reasons – e.g cultural or scalability issues – causing the slowdown because payoffs for successful transformation can be impressive; leading to more efficient operations, with enterprises enjoying autonomy beyond their operations. An entire ecosystem with data transparency functions more smoothly as inefficiencies are easier to pinpoint and fix.

Businesses must also watch market trends and shifts in consumer behaviour to adapt and thrive in the evolving landscape. The 2024 update to McKinsey’s tech trends focused on generative AI, coupling with electrification and renewables in terms of interest and investment. Gen AI is the next step in digital transformation, with the potential to enhance nearly all performance metrics.

Rugged mobile devices (especially AI-capable) contribute an invaluable benefit to the digital ecosystem. They connect workers to vital information necessary to keep operations running in harsh environments, often where and when workers need the data most.

Employees can use a rugged mobile device for asset management software or enterprise resource planning systems to troubleshoot problems quickly and efficiently whenever worker intervention is called for. Using rugged mobile devices also allows for the easier digitised recording of processes, so the enterprise always has a record related to every machine.

Limitless potential

Looking to leverage advanced technologies, organisations throughout the supply chain are taking a careful view of business operational workflows and finding ways to improve the bottom line. Expect AI-fuelled digital transformation to quickly become a mindset for companies as they move toward autonomy in their digital transformation. Rugged mobile devices will be essential today and even more so tomorrow to future-proof technology fleets. Their secure and open architecture enables enterprises to use it as a communications platform now and into the future.

  • Digital Supply Chain

SupplyChain Strategy attended July’s Exiger Executive Forum to hear from the best and the brightest in the industry.

Supply chain resilience is one of the most pressing concerns of modern business, whether executives are aware of it or not. That was the central theme of the Exiger Executive Forum held on July 23rd 2025. Titled Supply Chain Sovereignty in a Fractured World: Winning the AI and Geopolitical Race for Resilience, the event brought together business analysts, CEOs, supply chain and procurement executives, academics, and politicians for an open discussion around supply chain sovereignty and the urgent need to secure supply chains across myriad industries and territories.

As geopolitical events, trade wars, and threats to globalised networks threaten to destabilise global and local supply chains, the case for supply chain sovereignty, which is an organisation’s ability to control its supply chain and minimise dependence on external suppliers, becomes increasingly stark. However, a myriad of stakeholders must come together to enable organisations and nations to gain independent control of supply chains, and collaboration between industry, government, and academia is essential.

Three guest speakers joined Maria Villablanca, CEO and Co-Founder of Future Insights Network, each representing voices from within politics, business, and academia: Tobias Ellwood, former UK Minister and Chair of the Defence Select Committee; Koray Köse, CEO and Chief Analyst of Köse Advisory, Senior Fellow at GlobSEC Geotech Centre, and Board Member of Slave-Free Alliance; and Karsten Machholz, Professor for Supply Chain Management and Strategic Procurement at University of Applied Sciences, Wuerzburg-Schweinfurt. 

The discussion exemplified the discordancy of priorities and perspectives among senior voices from all angles regarding security, economics, policies all impacting value chains, albeit with a shared willingness to engage in secure, competitive, ethical and innovative supply chains, fuelling businesses and economies through heightened volatility in a fractured world that is recalibrating through the era of reglobalisation.

Supply chain sovereignty: Bridging political understanding, and urgency

“It is a dangerous world that we’re entering,” Ellwood warned. “If I ask you ‘Do you think the world will be safer or more dangerous in five years from now?’, I think we’d all agree in which direction it’s going. We have to then ask ourselves how we prepare for that.” To that end, Ellwood believes an increased focus on supply chain sovereignty is both an economic and military imperative.

For Ellwood, the central issue is limited understanding, both public and private, around the urgency presented by the current risk and threat environments. Through the combination of limited knowledge around supply chain complexity and an election cycle-focused impetus to enact vote-winning policies, he believes the political class lacks both the nous and urgency to prioritise supply chain sovereignty.

“After 20 years in politics, I can safely say that many politicians are simply unaware of what’s coming over the hill,” said Ellwood. “The tide took me out to the last general election, and so I went from helping to craft and nudge policy and encourage Britain to move forward to then scrutinising what we were doing, not just at home but internationally. Now that I’m outside of politics, I continue doing those same things.”

The necessity for political engagement is not lost on Köse, who through his own experiences of researching, advising and leading supply chain organisations, has been advocating for supply chain resilience as a top line driver for economies and companies, has equally encountered the depth of that disconnect.

“At an early point I realised that geopolitics is the key denominator for all value chains and all of us in this context,” he said, adding that work is overdue but starting to be underway to bridge this gap. “The London Defence Conference, as one critical congregation, is key for you all folks to be aware of. Not only because of what they do in terms of bringing the politicians into one room to debate some of the most fierce topics of the day, but it’s all about convergence. Bringing in supply chain leaders, policy makers and technology folks with a direct approach to debate.”

Villablanca noted that Ellwood’s presence was indicative of a gradually shifting tide, however. “It’s not lost on me that here we are in this panel, talking about supply chain, and we have a former politician with us,” she said. “That is very different to some of my earliest supply chain conferences where we didn’t see that, so it’s a sign of the times. Set the scene for us around why you’re here and why it’s important to discuss the geopolitical situation vis-a-vis supply chain today.”

“I spent most of my time in politics trying to strategise, trying to go four or five chess moves ahead, and I found I was on my own,” Ellwood replied. “Politicians operate for the day, for the here and now, the election cycle; the news cycle is what keeps them busy. They’re not thinking about these things and yet the world we’re now seeing in everything… everything is being weaponised because that is the change in the character of conflict.

“But today, from my perspective, I see the world splintering into two spheres of hugely competing influences. If you look at the number of countries that have signed up to China’s One Belt One Road initiative, you’ll see that many of them are either opting or hedging their bets as to where things go. 

“To make matters worse, our exemplifiers of what democracy looks like aren’t in a good place. We see what’s going on in America, British politics and so on, and Europe and America are not on the same page. We aren’t promoting global law in the sense that we had a sense of determination that we had when organisations were set up in 1945. Other nations are getting together and realising that there’s an opportunity to exploit the wobbliness of our world order and do things their own way.

“That’s where the mechanisation of just about anything comes in to cause us economic harm, to sow political discord from afar. It’s very easy to do and becoming easier simply because of the openness of our society. It means, from a rudimentary perspective, anything you do can be weaponised against you.”

“It’s very easy, from afar, to then limit your supply chains and thereby limit your capabilities. There are countries that specialise in sowing economic discord from afar. They understand and learn and know supply chains better than we do, and they can work out which missing pieces will cause our assembly lines to grind to a halt.”

That lack of preparedness, he says, is an impediment to putting the nation on a footing that could support a war effort on the scale of the World Wars.

He continued: “There’s also the prospect of preparing for war, which means that we are suddenly spending more money on defence. Our ability to switch on the supply chain levers to support military capability is not there. This is why companies that have no connection with the defence world need to think about the services they provide that might have a military bearing. In five years time, you may be called upon to do exactly that.

“That is the mindset we now need to get into. Security and economy are one and the same now, and that’s what we need to learn.”

AI, foresight, and risk strategy

The conversation then shifted to the business side, where securing critical supply chains powering key technologies such as AI, defence and security, biotech, energy and quantum computing has become a more pressing concern in the wake of a range of global disruptions through the early 2020s. 

Along with broad supply chain breakdown during the COVID-19 pandemic, the geopolitical environment has become more fraught. Escalating trade wars, the imposition of sweeping import tariffs in the US and heightening tensions between America and China have thrown globalised networks into question. Alongside those challenges, Environmental, Social and Governance (ESG) directives have placed an increased onus on supply chain leaders to sanitise their supply networks against modern slavery, conflict minerals, and indirectly sourcing materials from rogue nations. The case for establishing redundancies in supply, as well as heightening visibility on an end-to-end supply basis, was thus clear amongst the panel.

“Koray, you work with a lot of different companies,” began Villablanca. “Do you think there’s a mindset issue where politics and commerciality need to come together to realise the common goal and create resilient supply chains?”

Directly, there probably is a mindset issue,” Köse replied. “I think there is a lack of clarity about the importance of geopolitics’ impact upon supply chains, and there is certainly the capability issue of understanding the context of geopolitics.” He then elaborated on the challenge by highlighting shortfalls in companies’ predictive capabilities.

“Companies operate with risk dashboards,” he continued. “Sometimes it’s just red, yellow, green, and that’s all you have. They have a few key risk indicators like financial compliance issues, quality issues, performance issues, but you never see strategic foresight. It’s retroactive, based on historical numbers. If you look at a production line it might say, ‘We didn’t have an incident for 80 days’. What if somebody were to say, ‘We won’t have an incident in the next 100 or 80 days’? You don’t see that in production; it always looks backwards because it is built on the past.

“A big problem in a lot of the military complex, and in politics, is thinking that the next war will be like the last one. They cannot necessarily understand that asymmetric, hybrid and proxy warfare is really where things are going, and the same goes for technology. Supply chains are often built on yesterday’s technology.”

To then end, he believes supply chain leaders should be more forthright in leveraging their profound influence upon business operations: “In supply chain, we see the conversation about having a ‘seat at the table’ for decades now and I always say, ‘Just bring your own freaking table’, and invite everybody to it. Everything, every cent in an organisation, goes through you. Own that leverage and don’t run after them, invite them to come to you. Your table is where value is generated, secured and innovation and competitiveness are established. You hold the fate of the future.”

As to politics’ place within meeting this challenge, Villablanca asked Ellwood whether the political sphere could be doing more to shape the corporate agenda.

Yes, and that last point you said is the most critical; recognising that there is a massive risk, that this is a very different world that we’re now facing, and I expect the point that’s really being made is the absence of politicians,” he said. “The politicians themselves need to be told what we need because their expertise in understanding this arena is poor.

“China now owns the periodic table. If you are into silicon wafers, where’s your serum going to come from? If you’re into magnets, where’s your Europium going to come from? You need to know this sort of detail, and it’s not just you yourself. It’s your suppliers and the suppliers of your suppliers, too.”

While supply chain transparency has undoubtedly increased in recent years, he stressed that considerable work remains to realise total visibility.

“At a recent procurement event I was astonished at how many household names were unaware of what their second and third-tier partners were doing during the procurement cycle,” Ellwood continued. “They didn’t understand the vulnerabilities, down to the SMEs, of what’s going on. If the assembly line stops then that’s quite serious, but what’s going to happen because of that stress? 

“There are people who don’t understand it over here, not recognising that our competitors are deliberately looking at our supply chains and working out where that vulnerability lies. It is so that Ford stops making trucks, so that pharmaceuticals stop making medicines. Ministers are ignorant about this and we need to become better at it. This is the frontline of the next war that we’ll fight, and that war is coming.”

“I would add that some can’t fathom the complexity of certain supply chains and the vulnerability and risk associated with multiple tiers within them,” Villablanca posited. “There’s probably a translation issue with regards to business and politics around supply chain.”

To this, Ellwood stressed that international government groups hold the keys to unlocking a broader understanding within members’ respective political spheres.

“The G7, the Five Eyes Alliance, this is where these conversations need to go,” said Ellwood. “To recognise this must be a priority within the western world, we now need to have an alternative source to make sure that we can build our aircraft, we can build our factories, we can build our products. It isn’t so much the rare earth minerals themselves, but it’s the processing. Setting up a processing factory for rare earth minerals takes almost a decade.”

Here, a guest interjected with a point that hearkened back to Ellwood’s own admission that politicians have an innate directive to focus on local, vote-winning issues: “Politicians recognise there are no votes in this. The average MP will say their inbox is full of ‘fix the NHS’, ‘get the roads fixed’.”

Resolving political challenges such as those, Ellwood replied, is predicated upon strengthening economies to open fiscal headroom for public investment.

“If our economy is affected by problems with our supply chains, there’ll be no money in the treasury,” he explained. “Not for health, transport, potholes, policing, defence. It’s imperative that if you want to fill the coffers, then we need to protect ourselves. You can only do that with supply chain resilience. As a politician, you’ve got to take the people with you if you want to make the case.”

Villablanca then repositioned the conversation with regards to pressing issues around sustainability.

“There’s a lot of risk associated with our supply chains that goes beyond geopolitics,” she said. “We also have climate issues, economic issues. How do we maintain sovereignty in our supply chains while still trying to pursue goals around sustainability?”

“Supply chain transparency is something that I advocated for when I was a young consultant in the early 2000s when my hair was not so grey,” said Machholz, highlighting the gradual shift in supply chain priorities around identifying the finer details across those networks. “It isn’t a new topic and in the EU we now have the Critical Raw Materials Act.

Machholz drew the conversation towards sustainability in the context of integrity and continuity. “I’m German, and what we have is engineering power. We are good at car and machine manufacturing, but we have no natural resources. We have a little bit of coal, but all other things need to be imported. There have to be some sources to get those things.

“There’s Trump and tariffs going up and down, and we have some other geopolitical tensions affecting supply. You might say, ‘Where do I source this particular thing from? We don’t really have a second source of supply, because both of these sources are located in the same geographical spot.’ Maybe both of them are coming out of China.”

For Machholz, lessons to be gleaned around forecasting with technology’s latest predictive capabilities were presented en masse by the pandemic. “If we look at COVID, almost all supply chains were disrupted and you were running out of materials,” he continued. “You needed to be much more risk alert, and this is the problem we have already touched on: not looking in the back mirror, but using your data and turning insights into foresights to see what could happen, and then being agile and adapting.

“Sustainability could be one thing, having several sources, having alternatives, but of course, especially if we’re talking about critical raw materials, critical parts or maybe patent-protected or monopolistic suppliers, we are in an ambitious situation, put it that way, to find some alternatives.”

Machholz stressed: “This is something that each supply chain manager, CPO, and CFO, needs to understand to set boards’ scenarios. I’m pretty sure with the help of artificial intelligence we can elaborate much more on our data and predict different scenarios so we can be more prepared rather than just reactive.”

Shifting from cost-cutting to resilience

Of course, supply chain executives are under siege from an enormous breadth of challenges, whether it’s geopolitics, technological evolution as both a benefit and a threat, and shifts in consumer behaviours precipitated by those same factors. Rising to meet those challenges on all fronts, especially in a business landscape that often adheres to cost optimisation and efficiency over investing in resilience, can give rise to decision paralysis or financially-stymied strategies.

Turning to Köse, Villablanca asked: “There’s a mountain of black swan events lurking around us, ready to attack at any minute. What are the things that a supply chain leader should be focusing on today to try to build resilience?”

“To be honest, I don’t think they’re looking at building resilience,” said Köse. “What they’re doing right now is cost optimisation, looking at inflation and making sure that the profit margins are going to be protected through the bottom line, not considering top line revenue maximisation. 

“I think agility and economics always need to come back to top line, which basically means in the context of normal business 101 you are producing something, that there is a want and a need and a willingness to pay, and not necessarily hyper-focusing on the cost line or saying, ‘I’m not going to produce a bunch of bullshit that nobody’s going to pay for, just because I got to claim savings to my CFO’.”

I’m going to challenge you there,” Villablanca interjected. “I think, theoretically, that’s great, but everybody in this room is running a business. We have our own boards, people above us, board directors and so on saying, at the end of the day, you are remunerated and we are all remunerated for our quotas. How do you deal with the day-to-day management of your business as well as building that kind of resilience, agility and visibility?”

To this, Köse stressed that the difference can be made by reframing how businesses examine and counteract risk. “We’re thinking about turning the tide by really embedding foresight in risk indicators. Those risk indicators need to incorporate geotechnical, geostrategic issues with foresight,” he continued before highlighting what he implied to be a tendency for organisations to bury their heads in the sand when faced with developing geopolitical challenges.

“I published an article before Russia invaded Ukraine, about Russia getting ready to invade Ukraine, that went through loads of red tape and debate internally that calling Russia an aggressor was cancelled out from the research note,” said Köse. “They said, ‘You can’t say that’ while it was pretty obvious that Russia were clearly the aggressors. 

“The supply chain-focused function needs to spread out and have these geopolitical indicators, geotech-related risk indicators, and not just the last financial report from your supplier A to Z or tier one or tier two.

“We must then tie it back to the value and revenue you’re generating. Get away from this hyper focus and obsession with savings. In that context, make your analytics smarter with a bold analysis of things that you feel uncomfortable about. Think about ‘what now?’ and think about politics. I know we eradicated politics out of business as much as we eradicated many other beliefs from the conversation, but it has to come back.”

With this in mind, he proposed that cost optimisation is to an organisation’s detriment where resilience is concerned, not to its security. “Your indicators for success are not just on the cost line item or bottom line. Your priority must be on the top line. If I sell more, I can grow. With cost optimisation you can shrink yourself to death. That’s what some countries have done with political reviews where you shrink this, you shrink that, let’s shrink here, let’s shrink there. Potholes, collapsing bridges and rail systems, come because of the shrinkage of your investment budget for public infrastructure, for example. What I have found in the last decade of the sustainability high is that it actually impeded resilience, while the narrative said it was supposed to increase resilience.”

To this, Machholz highlighted the data behind Köse’s comments that resilience offers heightened growth potential than cost-cutting measures.

There were some studies from McKinsey which showed that companies who are investing in risk management are 4.7 times more profitable than those who don’t,” Machholz shared, stressing that businesses engaged in this mindset are missing growth opportunities. 

“People just fall back and say, ‘Okay, now the risk is over, COVID is over, whatever event is over,” he continued. “‘We can just go back to business as usual’. Resilience is just extra cost, extra inventory, maybe a second supply chain that needs attention, money, and people to take care of it, and they just simply don’t do it. This is, I think, one of the big threats that we are all facing.”

Exiger Executive Forum: A closer look 

The Exiger Executive Forum (EEF) in London is a global think tank that brings together elite independent voices from strategy, policy, technology and business to equip leaders with the frameworks and foresight needed to navigate the multipolar era. The EEF is exclusively curated for industry experts, analysts, policy makers, and senior procurement and supply chain decision-makers through Exiger, a market-leading supply chain AI company. The next Exiger Executive Forum ‘War-time Economics: How Europe’s €800BN Defence Spend Will Reshape Supply Chains’ will take place in London on Thursday, September 18th, 2025.

Ellwood concurred that this lack of foresight and willingness to invest in protective supply chain measures leaves businesses undefended against interruptions both foreseen and not. “We need to prepare ourselves for unexpected events to happen as the norm,” he said. “What would happen to any business if it didn’t have power for 72 hours? How would you look after your personnel? How do you make sure you salvage the business so that, after 72 hours, you can get back up and running. These aren’t questions that we naturally posed at the moment because again, we tend to park these things.

“The mentality may be, ‘The world certainly feels like it’s getting dangerous, but my life actually looks okay.’ That isn’t the right attitude. If you go to Sweden or Finland, who are much closer to the war with Russia, they are preparing in a way that we are not for a major event or incident. It may well be that when something happens and it’s the moment where governments wake up, but you shouldn’t be waiting for that moment.”

Villablanca then highlighted the recent, universal example of poor supply chain resilience bringing business, both domestic and international, to a grinding halt. “Did we learn nothing from COVID?” she asked. “Did we not take the opportunity to stress test our supply chains and look for the vulnerabilities within multiple layers?”

In response, Ellwood invited guests to consider whether the muscle developed in response to COVID’s interruptions had been allowed to atrophy. “I think that’s a question for everybody; how much of that was retained?” he asked before blending the conversation of supply chain agility with the potential for organisations to support national security should their respective nations go to war. 

“During COVID, supply opportunities came about,” he said. “Everyone here today represents diverse businesses. What services do you provide that you could tweak or add value to where something else has fallen short? 

“That’s where life really becomes interesting because that’s what happened in the First and Second World Wars. We called on organisations that previously had no interest in helping out with the war effort to add support and value to the wider machine and protect ourselves from a resilience perspective.”

Challenges faced by supply chains, he explained, have analogues to business that clearly marry the political and business spheres: “When we say ‘war effort’ today, it isn’t just Army, Air Force, Navy, air, land and sea. It’s now cyber, it’s space, it’s coastguard, it’s AI. This greater warfare is where a lot of the real pain will happen. As happened in COVID, it’s going to be the clever people in the industry that step forward to say, ‘I’ve already thought about this’. They’re in the patent-esque mode, they’ve done the work to say, with a few tweaks here and there, give us some extra money, and I can alter what I’m producing to provide a solution.”

The roles of government and industry

While there are clear precedents for, and incoming needs to, prioritise supply chain resilience in both the political and business spheres, the conversation made it clear that a unified front stands to offer the most impact.

The challenge, particularly in a political environment preoccupied with economic stabilisation, increased productivity, and soothed international relations, is identifying a shared north star or galvanising body to lead the shared project.

Striking at the heart of the conversation, one guest posited:If we want to align supply chain and geopolitics moving forward with a mutually-reinforcing relationship and shared goals, joint risk assessment, a focus on resilience over efficiency, and heightened cross-disciplinary talent and data,  what are the forward steps? 

“What can we within industry do in partnership with governments to move this forward?”

Representing the political voice, Ellwood replied: “There are certainly supply chain improvements that you can do on a national, sovereign basis. But from where I sit, there is a wide political threat that we face and are losing right now. One of them is to do with the energy supply, and another is the threat of AI. The quantum race will be won or lost in the next five years’ time, and that will be game-changing. It simply means that if the winner can harness the power of computing on that scale, everything’s over.”

Ellwood then invoked the technological advancements made in modern wartime, stressing that political figures must wield the mindset of those times to accelerate progress.

“I would like to see some two or three Manhattan Project equivalents, if you like, to ask, ‘How do we harness modular nuclear power?’,” he said. “That’s a very easy way to keep our lights on locally. Then, how do you harness AI? Let’s make sure it is this side of the world that wins that. 

“Again, there isn’t that coordination, that sense of urgency, because it’s too far down the road,” he concluded, then highlighting that opposing forces on the world stage already have the unified capabilities that many Western nations lack. “State, industry, and academia in China, for example, are all morphed into one and that gives them huge benefits in the race for these key arenas.”

Köse elaborated on this point by highlighting Turkey’s effective coalescence of business and government.

“If you think about the private-public national defence sector in Turkey, it came from being totally dependent on the US armoury to a leading innovator of drone wars,” Köse explained. “When you think about asymmetric warfare, innovative, impactful and economic weaponry, from drones to secure soldier transportation and all of that, think about what Turkey is producing right now in technology compared to others. The headway Turkey experienced in the last decade in the defence sector is unprecedented.

“That private-public sector coalition and symbiosis has covered such a need for them in a decade that many are surprised. I think that is something that Europe has to relearn, because Europe thinks a lot about public sector dominance in an area where the private sector should actually take charge. In the US, it’s the opposite. They say, ‘keep the public sector out’. The solution lies in collaboration and bringing each sectors strength to the table while leaving out their weaknesses and flaws.

While of course not advocating for adopting the political model, he agreed with Ellwood that nations like China have an innate advantage in this race. “When you think about the way that the autocratic countries are going about it, it’s the public sector dominating the private sector environment,” he said. “That’s why they’re so hyperfocused on things and they can scale but not necessarily innovate in this sector.

“I love the government when it’s in the right place to actually do something positive and impactful. But when I’m exposed to it, I usually get anxiety issues due to the lack of pragmatism, innovation and agility. But hopefully there’s this convergence of politics, business and academia driving intelligence into critical sectors and industry, and we’re trying to drive it through this think tank here.”

The unified case for supply chain sovereignty

Exiger’s Supply Chain Sovereignty in a Fractured World event was an enlightening review of the supply chain landscape and the myriad challenges and stakeholders it encompasses. 

While the panellists’ conversation in many ways highlighted the disconnect between government, business, and academia, the resonating message was one of shared pressures and goals. Where governments have pulled back on the reins of public spending, many organisations have in kind adopted a cost-optimisation mindset that may protect the bottom line but opens the door to heightened vulnerability. 

Where governments must consider challenges around energy sovereignty and insulating populations against the breakdown of globalised networks – as was demonstrated upon Russia’s invasion of Ukraine in 2022 – supply chain executives must create redundancies to cover lapses and minimise potential disruptions to production and wider organisational integrity.

The guests’ final comment, that states which can marry both the public and private spheres towards shared interests, neatly encapsulates the urgency with which those worlds must reunite. While much work remains to enmesh those spheres, it is clear that the conversation is progressing at pace.

  • AI in Supply Chain
  • Digital Supply Chain
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James Watson and Rachel Noll, Argon & Co, explore how smarter use of data, automation, and robotics can help manufacturers unlock productivity.

The UK government’s newly launched industrial strategy was long in the making, but has arrived with bold ambitions. Its 10-year roadmap for economic growth has a firm bet on advanced manufacturing as one of the eight high-potential industries in the UK, along with sectors like financial services, clean energy, and life sciences.

For many operating in this sector, this support couldn’t have arrived soon enough. Manufacturing has been pushed from disruption to disruption, hampered by inflation, persistent labour shortages, and global supply chain crises. Businesses have been urgently calling for tools to help them do more with less, and, against this backdrop, the government’s commitment to invest in digital transformation and skills has been widely welcomed.

The industrial strategy features investment in specialist advisory services and organisations to increase technology and robotics adoption across advanced manufacturing. But the big question is now whether it will deliver the change that manufacturers are hankering for, especially in relation to smart manufacturing.

How manufacturers can get smart: in five stages

Central to the Advanced Manufacturing Sector Plan is a push to scale the adoption of robotics, data, and advanced digital technologies. While cutting-edge automation and predictive AI are becoming more accessible, many manufacturers – particularly SMEs – still lack the maturity or infrastructure to implement them.

The industrial strategy aims to bridge this gap, announcing a new Robotics and Autonomous Systems (RAS) programme, backed by an initial investment of £40 million. This will establish a new network of Robotics Adoption Hubs – physical centres with the expertise, equipment, and connections to accelerate firms’ adoption of robotics. These will be designed as a ‘one-stop shop’ to help end-users invest in RAS technologies in a safe, low-risk environment.

However, smarter manufacturing also needs to be backed by operational visibility and a strong data foundation. Here’s how manufacturers can embark on this journey successfully:

Stage one: Increase operational visibility

Manufacturers first need sight of their core operational metrics to define and monitor performance. After all, you cannot improve what you don’t measure.

Many manufacturers still rely on paper-based reports and inconsistent metrics, making it hard to compare shifts or pinpoint problems. Without operational visibility, actions tend to be reactive and retrospective. Perhaps a shift has underperformed, but without reliable data, it’s impossible to identify the cause.

The first step is defining consistent metrics across all shifts – such as operatives per line, output per line, downtime reasons, or quality defects. Even simple tools like whiteboards or spreadsheets can instil the habit of consistent data capture and begin building a mindset of continuous improvement. The input might be manual and prone to human error, but it provides a common point of reference and highlights areas needing further insight. 

Stage two: Build deeper operational insight

Capturing data in an automated format is inherently more reliable, as it doesn’t require human interpretation. Data such as scan times, equipment health and performance, and employee clock-in and out times can feed into visualisation tools like Power BI or Grafana, helping to spot trends and anomalies over time.

Data is ideally stored in a data warehouse to allow for secure deposit and retrieval in a structured format. Layering information from different sources can reveal patterns. For example, does the mechanical equipment perform consistently at all hours? Are reworks linked to break times?

Organisations may spend longer in this phase retrieving, cleansing, and analysing data, but it’s a vital foundation for future analytics.

Stage three: Apply predictive analytics

One of the defining features of smarter manufacturing is being able to predict what’s happening next and act on it – and predictive analytics can bring this to the factory floor. With knowledge of trends, organisations can begin to form corrective courses of action, strategies of intervention, and avoid downtime. For instance, if the data shows that breakdowns spike after 100 hours of runtime, repairs and servicing can be scheduled in advance. Or, if absenteeism spikes after bank holidays, extra staff can be rostered.

Stage four: Use prescriptive analytics

At this stage, it is assumed the organisation has a strong data foundation. Prescriptive analytics recommends specific actions based on historical feedback loops: detecting a trend, initiating a response, and measuring its effectiveness.

By combining data sources, like weather, complaints, and inbound profiles, organisations can run probability-based models to suggest specific checks or actions. However, human judgment is still required to execute or validate these suggestions. To build trust, models should offer tracing to help users understand why a decision has been made.

Stage five: Become self-optimising

At this final stage, responses are automated, based on high confidence in the data and models. Trust in data is key to achieving full insights maturity. Getting here has likely taken time, learning, and refinement, and as a result, can be relied upon with little human intervention. Like Google Maps rerouting you in real-time around traffic, self-optimising systems react instantly to disruptions – the user only needs to accept or decline the suggestion.

A “human-in-the-loop” retains a level of control, but decisions can be made in seconds. While full automation across the value chain is ambitious, it can be prioritised in high-value areas.

The human factor

While the industrial strategy is welcomed with open arms by most in the industry, success still depends on people as much as policy. While the journey is data-driven, people are the linchpin to progress – or the lack of.

Resistance to change is common. Humans simply cannot process large volumes of data as effectively as a machine can, but their insight is vital for interpreting results and providing context. Ultimately, the most effective smart manufacturing journeys have a perfect blend of human intuition with machine intelligence. 

  • Digital Supply Chain

By Mohammad Mesgarpour, Head of Data Sciences at Microlise, discusses why we need to think beyond data when it comes to logistics.

Data is everywhere — often invisible, but constantly at work behind the scenes. As we move through our day, it quietly powers much of what we experience. A simple card payment in a shop sets off a chain reaction: your bank processes the transaction, the store updates its stock levels, capturing vehicle location and driving behaviour location data by telematics box, and the company’s central system records the sale.

It’s data that informs the display board on a train platform, letting you know your train is just two minutes away. From our morning routines to our evening commutes, data is woven into how we live in 2025.

And the scale of it is immense.

Today, it’s estimated that there are around 181 zettabytes of data globally. That’s equivalent to one trillion gigabytes or one billion terabytes. In just a few years, this figure is expected to soar to 394 zettabytes — a rapid expansion that highlights just how central data has become to everyday life.

We may not always see it, but at every digital touchpoint, data is shaping the world around us.

Data in logistics

The logistics industry has long recognised the value of data and has been quick to adopt technologies that help improve performance and efficiency. As new tools and systems have emerged, the sector has consistently found ways to use them to its advantage.

It started with the basics. Early telemetry services, such as GPS tracking, gave operators a clear view of  their vehicles’ location on a map – a simple yet powerful tool. From there, the industry moved into deeper insights, analysing fuel consumption patterns and driving behaviours to improve overall fuel efficiency and road safety.

Since then, the capabilities have expanded significantly.

Today, vehicles can generate ten times more data than they did just ten years ago. Thanks to advances in both hardware and software, operators now have access to a wealth of information that can transform decision-making and drive smarter logistics operations.

But this volume of data doesn’t come without challenges. More data doesn’t always mean better outcomes or deeper insights. Businesses are beginning to recognise that without the right systems; high-quality and relevant data; and effective analysis, they can become overwhelmed rather than empowered.

The real opportunity lies not just in capturing data, but in turning it into meaningful, manageable and actionable insight. It can drive operational efficiency, informed decision-making and measurable business outcome.

The appliance of data science

It’s easy to assume that simply collecting data is enough to transform logistics and haulage operations. But in reality, raw data alone won’t deliver results. To drive real value, that data needs to be refined, analysed in context of strategic business objectives. This is where the real analytical challenge begins.

There’s a well-known saying in data science: garbage in, garbage out. And it’s more relevant than ever in an era where artificial intelligence tools – like ChatGPT – are increasingly part of the conversation where the quality of data directly determines the accuracy and effectiveness of the AI model’s output.

Anyone with deep subject matter expertise will quickly spot the flaws when these models are asked about highly specific topics. They may generate convincing answers based on flawed or outdated sources, and while experts can see through the inaccuracies, others may accept them at face value. When that misinformation is reused and reinforced, the cycle continues, leading to skewed conclusions and poor decisions.

The bottom line? Better data leads to better outcomes.

This principle becomes even more important in real-world applications, such as complying with the government’s updated requirement to inspect trailer braking systems at least four times a year instead of once. With accurate, well-managed data, operators can confidently predict when inspections should take place, helping to reduce downtime, avoid unnecessary checks and keep fleets moving efficiently.

Turn around, go back

Geofencing is another area where accurate data is critical to the success of logistics operations. When systems misreport how long a delivery takes after entering a geofence (delivery site), the ripple effects can disrupt far more than just one delivery.

Inaccuracies here can throw off turnaround times, leading to incorrect arrival and departure times, delayed subsequent jobs, inaccurate performance metrics and ultimately frustrated customers. What begins as a small data issue can quickly escalate, leading to missed expectations, strained relationships and inefficiencies across the board. Moreover, if this inaccurate turnaround time is fed into a machine learning model to improve future logistics planning, it can lead to a systematic degradation in the model’s reliability and usefulness, and consequently, in the effectiveness of the plan itself.

High-quality data helps avoid these pitfalls entirely. When the source information is precise, the systems built around it work as intended. And importantly, solving data issues upstream before they feed into larger workflows is far simpler than trying to fix the consequences later on.

In logistics, precision isn’t a luxury. It’s essential.

Open source informs much more

Modern technology plays a key role in identifying the behaviours that impact operational efficiency. Actions like harsh braking, rapid acceleration or excessive cornering speed all contribute to increased fuel consumption. And today’s systems don’t just monitor them, they help correct them. Moreover, onboard sensors and telematics devices track and monitor vehicle health in real time, flagging issues before they become costly problems. Whether it’s the driver, the transport manager or fleet manager, having this information early enables proactive maintenance rather than reactive fixes.

The story doesn’t stop at the vehicle.

Open-source and crowd-sourced data brings another layer of intelligence, offering a broader context that goes beyond what’s happening inside the cab. By combining internal data with external sources, hauliers can gain insight into accident-prone areas, localised weather patterns or planned road closures; all of which influence route planning and delivery performance.

This level of enrichment adds real value. Rather than simply receiving updates every mile or minute, operators benefit from a fuller picture of the journey, making location data smarter, not just more frequent.

Reporting for duty

Accurate data – whether it’s tracking punctuality, fuel consumption or driver performance – underpins a wide range of operational reports. These insights can be tailored to suit each customer’s needs, helping them streamline operations, drive efficiencies and stay competitive in a fast-moving industry.

As we move toward an expected 394 zettabytes of global data by 2028, the value of this information lies not just in volume, but in context and quality. Future data won’t simply indicate what happened, it will increasingly help explain why it happened, too.

Take driver behaviour as an example. Instead of just recording that a driver braked harshly, new systems will identify the circumstances behind the action. This shift means drivers will be recognised for making safe, responsive decisions rather than penalised by isolated statistics.

It’s a powerful step forward. But unlocking the full potential of this data-driven future depends on how well the information is used. Data must be processed, applied and interpreted thoughtfully. 

When done right, it not only enhances internal operations, but it also delivers measurable value to customers as well.

  • AI in Supply Chain
  • Digital Supply Chain

Maria Torrent March, Managing Director, Warehousing & Logistics, Europe at Iron Mountain, digs into the F&B supply chain landscape.

What are the characteristics and pain points specific to the food and beverage logistics and warehousing sector that set it aside from other sectors? Does it demand more speed? Environmental control? 

The food and beverages (F&B) sector is large, dynamic, and continuously growing due to high consumer demand for everyday products. The warehousing and logistics (W&L) sector must remain flexible and scalable. This is in order to meet deliverables and ensure products are dispatched on time, especially when dealing with perishable items.

    The F&B sector requires greater environmental control to maintain quality and safety. This can be achieved by partnering with W&L providers who are accredited with the British Retail Consortium (BRC). BRC accredited providers are required to meet strict protocols and are certified to hold food and consumer goods. Additionally, BRC warehouses offer several benefits, such as protected company reputation, implementation of industry best practices, and reduction in risks and potential liabilities. These are critical when handling sensitive items when it comes to food storage.  

    How is the process of managing logistics and warehousing in the F&B sector changing? What are the forces driving that change? 

    The management of logistics and warehousing in the F&B sector is undergoing significant transformation. This is driven by evolving consumer demands, regulatory pressures, and technological advancements. Consumers now prioritise products that are delivered quickly and sustainably. It’s pushing companies to adopt faster distribution networks, and eco-friendly practices like solar power, EV charging stations, and rainwater harvesting.

    Technological innovation is also a key factor impacting the evolution of warehousing and logistics in the F&B sector. Automation and AI are optimising warehousing operations, reducing labour costs and errors while improving efficiency in handling perishable goods. The F&B sector is looking to improve efficiency and reduce transportation costs by leveraging strategic locations like the golden logistics triangle. This is a key hub for W&L because of its high number of distribution facilities and proximity to transportation networks such as rail and air. While the railway supply chain is relatively new, it can be ideal for F&B, where goods are heavy and where there are  weight limitations in trucks or shipping. 

    Many high-street retailers stock multiple brands that each have individual supply chains. As a result, they are exploring how they can implement streamlined supply chain strategies across their businesses. They want to partner with 3PLs who can provide consultancy for managing these complex networks of supply chains, and not just a standard solution. 

    How do you make warehouse spaces more flexible and scalable to provide the necessary adaptability to manage fluctuating demand and seasonal peaks?

    The F&B sector often faces challenges with space allocation to meet unpredictable demands. Robotics can be used to perform wall-to-wall scans of warehouses, creating a digital twin. This enables quick decision making and improves warehouse control and reliability in response to changing seasonal peaks. 

    Furthermore, with the use of AI, organisations can predict increases in demand due to holidays, sales, and seasonal trends. Iron Mountain has employed the use of AI across its warehouses. That allows us to predict stock locations and replenishment and improve productivity from the high-quality data received from Dexory. Dexory is a UK-based company that specialises in AI driven warehouse automation. This not only allows warehouses to make fast, real-time decisions on pricing and inventory levels but also helps to predict future demand spikes with greater accuracy.

    Where do technologies like automation, digital twins, IoT, etc. fit into this picture? 

    AI and automation play a crucial role in inventory management. Iron Mountain considered adopting a more traditional setup with stock controllers but was concerned about potential labour shortages In 2024, it was reported that 37% of European warehousing organisations, including those in the UK, were experiencing significant labour shortages. 76% noted a noticeable shortfall. These shortages have impacted the logistics sector, making a notable difference to warehouse and logistical efficiency.

    As a result, Iron Mountain partnered with Dexory to deploy an autonomous robot that provides live data insights by scanning the warehouse daily. This technology delivers full visibility of inventory, which is highly valuable for the F&B sector, where understanding how to quickly move stock based on demand is essential. Additionally, AutoStore is used to provide an automated storage and retrieval system, enabling rapid responses to customer requests. Utilising this technology makes warehouse and logistics operations more efficient, faster, and reliable.

    We’re in an age where disruption is starting to feel like the norm rather than the exception. How can warehousing and logistics help supply chains be more reactive, agile, and resilient? 

    Disruption is common in the W&L sector, so organisations must be both flexible and reliable when it comes to supply disruptions, which can take many forms, including geopolitical conflicts, climate events, or sudden demand spikes.

    Many organisations have had to think about these challenges over the last few years, starting with the pandemic. Sudden world events can force F&B companies to reorganise their supply chains. It’s important to consider these issues from their perspective. For instance, they may be seeking different suppliers in different markets. Ultimately, it’s about offering flexible solutions and tailoring them to the sector you are working with.

    Over time, warehouses have adapted to become more dynamic, technology-driven, and strategically integrated into the broader supply chain. The W&L sector is always looking for scalable solutions that can be implemented when issues or disruptions arise, making it easier for supply chains to adapt and evolve in the face of challenges while maintaining operational efficiency and customer satisfaction.

    • Digital Supply Chain

    Nigel Pekenc, Partner at Kearney, gives us insights provide insights on current key trends in supply chain, as well as his thoughts on nearshoring and reshoring.

    How are global supply chains evolving to become more resilient in the face of ongoing disruption, such as geopolitical shifts, raw material shortages, and logistics volatility?

    “Supply chains are undergoing a fundamental shift from static, efficiency-led structures to adaptive, digitally managed ecosystems. Companies have moved beyond simply adding redundancy or diversifying suppliers. Instead, they are building globally distributed and closely connected networks, using real-time visibility and predictive analytics to spot vulnerabilities early and respond flexibly. Strong supplier partnerships in key locations and centralised digital control towers that compile multi-tier insights are now essential to manage disruptions ranging from geopolitical unrest to material shortages and transport breakdowns. The aim is no longer just resilience but adaptive responsiveness, enabling businesses to adjust their supply chains dynamically and in real time.”

      Nearshoring continues to gain attention but rarely replaces full-scale global operations. How do you see companies striking the right balance between proximity, efficiency, and cost?

      “Nearshoring has gained prominence, especially amid recent trade disruptions, but companies increasingly see it as part of a strategic mix rather than a full replacement. They strike the right balance by regionalising the most critical parts of the supply chain, particularly those sensitive to lead times, geopolitical risks, or local market demands, while continuing to source globally to maintain flexibility, secure essential inputs, and benefit from specialised production. This hybrid approach often takes the form of multi-node regional hubs connected by digitally coordinated networks. The key is segmenting the supply chain by disruption sensitivity, customer proximity and value-added stages, ensuring nearshoring delivers strategic value without adding unnecessary cost. This balance enhances responsiveness, optimises costs and mitigates risks.”

        What role are technologies such as AI, automation, and digital twins playing in enabling smarter, more adaptive supply chain networks?

        “AI, automation and digital twins have moved from buzzwords to essential pillars of responsive supply chains. AI-driven analytics process vast, complex data to provide predictive insights, enabling proactive action amid market shifts. Digital twins offer virtual replicas of supply networks for scenario testing and stress simulation before disruptions occur. Automation enables the rapid execution of these strategies through intelligent robotics, dynamic inventory control and agile manufacturing. Together, these technologies let supply chains anticipate and adapt to disruptions, turning agility from aspiration into reality.”

          With supply chains becoming increasingly multi-tiered and complex, what strategies are proving most effective in maintaining control, visibility, and risk mitigation across networks?

          “Complex, multi-tier supply chains demand more than standard digitisation; they require fully orchestrated digital ecosystems. Effective companies are establishing integrated digital control towers that deliver real-time transparency and decision-making clarity across all supply chain tiers, from raw materials to end-consumer distribution. Advanced data governance protocols ensure quality information flows seamlessly through well-defined channels. Moreover, clearly established risk categories aligned to decision-making tiers within organisations empower rapid, informed decision-making. In short, the combination of robust digital infrastructure, clear governance and aligned organisational structures is proving indispensable to maintain visibility, manage risk and achieve operational responsiveness at scale.”

            “The future of supply chain strategy will be defined by the interplay of continuous geopolitical fragmentation, accelerated regionalisation and persistent economic volatility. Companies must architect globally distributed, digitally empowered supply ecosystems that embed flexibility and optionality by design. AI-driven predictive tools and digitally enabled scenario planning will move to the centre of strategic supply chain management, allowing businesses to anticipate disruptions and shift resources dynamically and swiftly. Preparing for this future requires immediate investment in digital capabilities, organisational readiness for decentralised decision-making and development of flexible supplier ecosystems. Companies that proactively build these capabilities today will emerge with significant competitive advantages, able to thrive and seize market share in volatile global conditions while competitors falter.”

              • Digital Supply Chain

              We caught some precious time at Kinexions with Jennifer Dorsch, who outlines the transformation programme underway there.

              If ever there was a company that embodied the transformational spirit of Kinexions, it’s Syensqo, the Belgian multinational materials company. Established in December 2023, through the spin-off from Solvay, Syensqo is both emerging from its legacy company, whilst simultaneously transforming its operations during an era of unprecedented disruption. A challenging situation to say the least.

              Jennifer Dorsch is the Global Head of Supply Chain Center of Excellence at Syensqo; a woman who by her own admission is “transformation driven” and skilled in operational leadership, process optimisation and leveraging technology to achieve best-in-class performance. She is seeking to spearhead global transformation initiatives, enhancing efficiency and growth through streamlined processes, systems and strategic simplification.

              An inspirational leader

              A results-oriented senior executive, and a former Supply Chain Excellence Director at Solvay, Dorsch has a proven record of leading high-performing teams, driving impactful change and delivering measurable results spanning the industrial, supply chain, and finance functions. “As Head of the Global Supply Chain Center of Excellence at Syensqo, I spearhead transformation of the E2E supply chain,” she explains, backstage at the Fairmont Hotel, Austin. 

              The core values of the CoE are based on creating an efficient and resilient supply chain through simplification, standardisation and harmonisation with efforts prioritised in support of company objectives. “We measure the benefits of transformation through supply chain improvements and cost savings and deploy effective change management strategies to ensure adoption of new systems and processes aimed at improving KPIs in support of company objectives,” she reveals. “We also created accountability in support of change management.”

              Jennifer Dorsch, Global Head of Supply Chain Center of Excellence at Syensqo

              Emerging from a legacy

              Syensqo recently split from Solvay representing specialty chemicals while the commodity side remains Solvay. “The split of the company put us right into a transformation and the first challenge to be tackled was planning. And so we’re now using Kinaxis Maestro as a foundation for that. We’re taking it as an opportunity to bring all of our business units into a harmonised way of working through one platform. These are five business units that did things entirely differently. They didn’t even know who each other were and yet now they’re working together. This is quite transformational,” she enthuses.

              Of course, there are challenges to implementing any kind of transformative program and change management nearly always tops the poll as the most demanding. “The hardest part is the change management. There were folks that couldn’t understand, couldn’t envision what it was going to be like. Everyone naturally feels that their way is unique and often don’t understand the other parts of the business. But change takes time. We had to create platforms for the teams to get together across the businesses to view the details because supply chain is very detail oriented. Supply chain professionals like to see the facts and to see how each other works in order to understand how valuable it would be for each of them to change the way they work to come together.”

              According to Dorsch it’s vital to bring the people along with you on the journey. “It can’t be top down. They need to understand why and they need to feel it. However now there are more and more asking for it. Now they’re asking for Maestro and Kinaxis, which is great.”

              Agility is key

              So, how has Maestro enhanced agility and resilience and efficiency at Syensqo? “Well, it’s going to help us with the transparency, primarily. We will now have the information at our fingertips to make decisions in real time. We’ll be able to pull more of our planning upstream. Constraints realised further upstream in the planning relieves the pressure of the plant floor where it’s quite busy. The plant floor will be much, much calmer I would say.”

              Maestro is also able to enhance the customer side too. “Our customers will certainly see a difference,” she reveals. “Our service levels will see a real improvement too. We’ll be making the right inventory and have it in the right place at the right time, ultimately improving business outcomes. Working capital and customer service will also improve.”

              The people

              A lot of what’s been happening at Kinexions is technologically rooted, but the power of people is also being stressed as vital in these major transformation projects. “Oh they are,” she affirms. “People are stressed. They need to feel protected. And the Kinaxis teams have done a very nice job of helping the teams feel supported by giving them examples of other companies that they’ve done this for. This lets them know it’s normal to feel stressed and to not be sure until you go live. However, you need to let them know that you’re there for them. The more examples they go through, the more comfortable the users feel. But it does take time.”

              Disruptive and volatile as these times are, at least a platform such as Maestro gives users the ability to meet some of these daily challenges. “Yeah, it certainly does. I mean, the way we’re able to handle resiliency currently is that people have to work a lot harder. But the way we’re going to be able to handle resiliency going forward, when we have challenges, is going to be completely different because we’ll have such better transparency in our ability to react and respond. We will definitely adjust our focus onto using AI to make the decisions. All the routine decisions will be automated through AI and AI agents.” 

              So, what would Dorsch say to those supply chain leaders who have yet to make the leap into harnessing emerging technologies? “I would say think about the people that are working in the supply chain and improve their quality of life. The more you give them to make their jobs easier, the less stress there is on them. Let the system take the stress, not the people. It’s a way to retain your top talent. I would turn it more in that direction. Not to mention the fact that you get to improve outcomes for customers, financial statements, all of that, but crucially for your employees too.”

              Kinaxis, the supply chain orchestration platform developer, is leveraging agentic AI in both its world-renowned Maestro platform and beyond. SupplyChain Strategy sat down with Andrew Bell, Chief Product Officer at Kinaxis, to learn more…

              Kinaxis’ Maestro is billed as an AI orchestration platform that revolutionises how supply chain leaders handle and use their data. Built upon three fundamental principles – supply chain data fabric, an intelligence engine, and the user experience – it serves to ease the challenge of gleaning actionable insights from broad data sets, as well as automating processes that are reliant on understanding shifts in that data.

              Through AI, it’s a system that users can speak with: ask Maestro a question about your data, and it will give you an answer in real-time. The AI-powered system can also simulate an endless array of scenarios, massively enhancing supply chain leaders’ capacity to prepare for the future against a backdrop of regular and often-decisive volatility around the world. Keen to learn more about the ways in which the firm is leveraging agentic AI in both Maestro and beyond, SupplyChain Strategy sat down with Kinaxis’ Chief Product Officer, Andrew Bell, backstage at Kinexions 2025, to learn more.

              The three AI disciplines

              Before we get into the finer details, it’s important to understand what agentic AI is and where it sits in the growing family of AI-powered technologies poised to reshape the world. “For supply chain, our view is that there are three AI disciplines that are highly relevant to what we do,” explains Bell, fresh from delivering a fascinating keynote speech to the assembled global supply chain leaders gathered in Austin, on agentic AI. “The first was predictive AI with machine learning, the second, more recently, was generative AI. Continuing on from there would be agentic and autonomous AI.

              “It’s not about any one of those on their own,” Bell continues, “but rather how they come together to deliver. When I think about agentic AI, it comes down to what we demonstrated in conference: the ability to chat with your data, to ask questions about your data, to get it presented to you however you want, all based on simple prompts. It’s actually a fusion of generative and agentic AI. There’s the agent that we built that works autonomously based on prompts from users; prompts that are then interpreted by the generative side.”

              According to Bell, when it comes to agentic AI, the real differentiator is the notion that it operates on its own, that it operates autonomously as a result of a user prompt or data change conditions. “The idea is that it’s able to make its own decisions as it progresses through a problem; that’s what I find so powerful about it,” he enthuses. “That’s how it differentiates from other forms of automation.”

              The democratisation of data

              While concerns abound regarding the disruption AI could bring to workforces, namely in headcounts and the nature of their work, Bell stresses that this form of AI, as with the others, is at its best as an enabler rather than replacer. “The first thing to say is that AI on its own, especially in the supply chain space, is not going to solve our problems,” he explains. “It’s not going to deliver the value. Its real value is its democratisation of data access through the combination of the data with tools that have the ability to access and use that data, with AI sitting on top. Then I can get to my data more easily and more quickly, and so can anyone else approved to use the system.

              “Users don’t need to learn a system, they don’t need to know how to navigate complex worksheets, set up filters and all the things you do in a traditional context. It means anybody, whether that’s an entry-level planner or a C-level executive can ask data-based questions, run a scenario or a simulation or execute something with less friction. I see it as a democratisation of the power of data and as an accelerant.”

              That sense of democratisation extends beyond Kinaxis’ internal use and development of its agentic AI systems, with customers and partners joining the fold to inspire new and iterative action. “We’ve approached it by building an agentic framework first, and that allows for the creation of agents and the running and execution of agents,” Bell elaborates. “That’s step one. Now we’re building our own out-of-the-box agents on that framework, as well as opening that framework up to our customers so they can build their own agents.  Customers know their business best, and there might be use cases that they want to apply an agent to that we haven’t thought of yet. They’ll now have the ability to do that.

              “From there, we’re using our customers and the challenges they share with us to figure out what we can build or iterate upon next. We’ve started with the ‘chat with data’ agent. Because that was the number one thing: get me access to my data. The next thing is the ability to evaluate two options and execute a change. Merck, who we’re working with, shared an agent that essentially detects late supply and takes corrective action.”

              Bell is evangelical regarding the adaptability of its AI framework, allowing agents to be used in isolation, or strung together. “It’s purely going to be based on the natural language prompt from the customer,” he reveals. “The framework will know all the different agents I have access to and so it can either do what the user is asking with those agents or suggest a combination of those agents.”

              Data is the key

              Data is the crux that all AI roads lead to and stem from. Without high-quality data, AI isn’t capable of delivering on its potential. Creating robust frameworks, exercising high levels of data hygiene, and structuring data stores in an AI-ready fashion are paramount in both the development of agentic AI and the application of those tools. For both developers and users, Bell stresses the fundamental importance of getting that data piece right. He notes, too, that its applicable advice no matter where individuals and organisations are in their AI journey. “There is the ability to start from any position on that journey,” says Bell. “It doesn’t have to be a big bang or a one-size-fits-all. No matter what, though, it is about the data. The agents, the automation, whatever it might be, is only going to be as good as the data that it can access. 

              “Step one is to understand the problems you’re looking to solve and figure out which data that system would need. We have capabilities that simply do exception reporting where you can implement predefined automations where your team has said ‘these are some processes that we execute on a regular basis, and we have the data, so automate it’. You can then move up the journey and say, ‘No, we’re ready to implement agents and we’re going to start using some proven native ones before going all the way to making our own.’’

              “The good news is that some of the foundational requirements apply no matter where you start in the journey. Getting the data and having the right tools in place are going to benefit you across the whole journey. From Covid to more recent impediments to worldwide networks via trade war escalation, significant global interruptions and bottlenecks over the past several years have put enormous pressure on supply chains to adapt at pace. As far as disruptive influences go, agentic AI represents a welcome boon for those who can effectively wield its potential.”

              “At Kinexions 2025, we had a presentation from ExxonMobil that noted how people typically think about disruptions as a negative thing, but our job is to build a supply chain that excels at managing those disruptions,” says Bell. “When we do, we have a competitive advantage. Our job at Kinaxis is to provide the tools, systems and capabilities to deliver that competitive advantage to our customers. Disruptions are going to occur. That’s a given. We don’t know what they might be, but they’re going to happen. If we’ve given you the ability to manage them effectively, that’s going to give you a strong competitive advantage.”

              Diane Melul, Sanofi’s Head of Global Supply Planning, talks us through supply chain transformation at the pharmaceutical giant

              French multinational pharmaceutical leader Sanofi has quite the storied history. Having been the first global supplier of injectable polio vaccinations, it has a long-established reputation for driving disruptive, impactful and historic change.

              Against a backdrop of volatility that has come to define the modern supply chain, Diane Melul, Sanofi’s Head of Global Supply Planning, is orchestrating a transformative strategy that will enhance the company’s supply chain rigor and flexibility while maximising its capacity for delivering its vital medicines to patients.

              Speaking with SupplyChain Strategy at Kinexions 2025 in Austin, Texas, Melul hails the company’s digital twin solution as a turning point in creating an interconnected and robust global supply network. 

              Maestro enables Sanofi to simulate its global network across millions of hypothetical scenarios. The data and insights gleaned from the system have enhanced planning, agility, and integration across its supply chain network, and significant new efficiencies have been realised. Accuracy across planning has increased substantially, while real-time insights allow for optimised inventory management. The digital twin has also highlighted pain points across the production process, enabling targeted actions that have decreased process variability and reduced lead times across the cycle. 

              It’s a journey

              “We started our journey something like eight years ago with the demand planning implementation, which has been quite successful,” says Melul. “We have around 110 markets and we’ve been deploying across all of them. So that was the first part, and then came the supply part, which is definitely more complicated to implement.

              “One of the key points we’ve been learning is that effective integration is key across processes and the wider organisation. In recent implementations we’ve been working collaboratively across the business to ease the process, and we’ve been seeing much more adoption in everything because there’s clear interconnectivity.”

              A key benefit for both supply chain and the wider business is the level of preparation that Maestro affords. Not only does its simulated scenarios provide crucial guidance for planning, but also for optimised reactions to surprise situations. “We love running these simulated scenarios,” continues Melul. 

              “That’s one of the benefits we’re getting across our complex network. We have around 40 manufacturing sites and we’ve got them connected with the markets and all the simulations we’re running. It’s allowing us to conduct a lot of parallel processing, and the decision making-process with regards to integrated business planning (IBP) is much easier than it was before we built this interconnection between different parts of the business through Maestro.”

              Agility and resilience have also benefitted, especially where forecasting is concerned. “We also have a new process that will make sure we are more agile and reactive, with full visibility of the markets. As we have mapped manufacturing and markets, we can also get a full signal of what is coming next, the alerts, and how we can react. So that’s part of what we have embedded in our processes.”

              Diane Melul, Sanofi’s Head of Global Supply Planning

              A single source of truth

              A considerable benefit to all of this is the establishment of a single source of truth that’s available across the global network, fostering greater accuracy but also stronger collaboration across what had been disparate and siloed business functions. “A single source of truth is really important,” Melul explains. “We are going beyond the supply chain, too, with a single source of truth that is transmitted through to finance teams and beyond.”

              This heightened alignment allows for clearer and more confident decision-making, and greater communication across the business. Melul has overseen considerable efforts to ensure this opportunity for greater interconnectivity hasn’t gone to waste. “We have created strong standards, and we have to bring people together from across teams to work as one. Whether we’re talking about marketing, planning, site planners, supply planners, they’re all in the same team. It provides opportunities to learn from each other, and they have a sense of community that helps everyone to upskill and grow. That’s a big part of what we’re seeing.”

              It’s not as simple as dropping a new tool in people’s laps and expecting seamless integration, of course, and Melul speaks candidly about the importance of managing such change effectively. “It’s a journey,” she says. “We have to make sure we are helping people to learn how to play with this tool, how to get the most out of it. We have to make sure they see the benefits, how it will positively impact their work, how it’ll impact our delivery for our patients, how it’s going to make sure that, every day, every time, our patients get their product on time.

              “It’s really about making the link and showing them the end-to-end value where previous tools were not really giving us this visibility. Everyone was in their own silos, delivering to the next node without knowing what’s going next, and that’s no longer the case.”

              Change management

              It’s vitally important to create a sense of belief amongst teams when implementing tools like Maestro. Aligning process change, roles and responsibilities across the organisation and the tool is paramount, and Melul alludes to the sense that this groundwork can break the initial inertia that can be typical of these broad technological implementations. “We need to make sure we have strong and clear standards, that’s for sure, but we also need to listen to our people and make sure everything is aligned,” she explains. “People will then adopt the tool more readily when they see the value.

              “Overall, that’s the philosophy we’re trying to get to: showing them the value, the use case, how others are doing. That’s the best way to really get motivation to go above and beyond to make use of new functionalities. You then don’t have to push so much.”

              The implementation is not yet complete, with Sanofi’s vaccine manufacturing sites being the final frontier. For Melul, there’s excitement in being able to bring the learnings from the implementation thus far to this final stage. “It’s a long journey, but we’ve been learning, and we are targeting a bolder approach here to make sure we put everything together in one shot across vaccine manufacturing,” she enthuses. “That’s one of the learnings: the benefit comes quicker when the nodes are implemented in full. That’s what we’re targeting for the next implementation.”

              The future

              While that work is on the horizon, Melul’s attention stretches further. “Beyond that, we want to start investing more in artificial intelligence. We want to make sure we take advantage of new capabilities that can make the decision-making process more agile, to optimise the parameters, to get a proposal to override the master data. How are we doing in terms of inventory? Are we really setting the right parameters? Is the system capable of proposing something more interesting that could help us move in a new direction? That’s definitely the next stage for us after this implementation is complete.”

              Here Melul demonstrates a forward-thinking mentality that has become essential to supply chain leaders in these challenging times. It’s a time where agility is vital, but also where huge opportunities have opened up for supply chain professionals to take a greater hand in broader strategic direction. “There is definitely less stability,” she agrees. “If you like having challenges to face and opportunities to find new solutions every day, it’s both interesting and a way to differentiate yourself. We have to find solutions every day. 

              “It’s interesting because there is no stasis; there is continuous reinvention. Maestro is a tool that will support all of this, but it’s not the only one. If we have everything in terms of process and tools working well, we can spend more time on being disruptive in the way we are working, we can be more disruptive in the approach and think outside of the box.

              “In the last few years, with all these changes in the environment, we have learned how to be more disruptive in the way we approach the business, with positive and direct impact on the final business output: delivering for our patients. In the day-to-day, people want deliveries on time or sooner. Supply chain is making the difference, and we are playing a bigger role every day within the company. How can we make sure we deliver on those unexpected opportunities? How can the supply chain be more agile and be able to support those opportunities? 

              “We are seeing a real impact on business outcomes from that increased supply chain agility. I would say that the supply chain at Sanofi will continue to become more influential within the business. Sanofi’s evolution as a business means we will see the supply chain being more as an orchestrator, not only for the supply chain area, but for full end-to-end processes.”

              For supply chain leaders looking to take on their own bold transformational projects, Melul’s advice is to make sure the foundations are properly laid. “First, of course, get strong master data,” she advises. “Make sure you go step by step. There will be a lot of ways to improve as you proceed. I believe that the adoption or transformation is easier when we get the time to explain where the benefits will be, and we can get simple initial plans that we can improve and enhance day after day. Our quick wins setup ensures we are prepared enough to proceed and move ahead to the next stage. The ambition can stay very high, but we need to make sure we have the step-by-step approach to work in an agile mode. And start simple, but start now!”

              Johnny Ivanyi, Global Head of Logistics at Bayer Crop Science, on managing the complexity of today’s supply chain amid a digital transformation and sustainability boom.

              Today’s supply chain is full of challenges. 

              Disruptions such as geopolitical tensions, climate change and the lingering impact of the pandemic have all had their respective impact on organisations and their strategies. As a result, supply chain and procurement leaders have been propelled to the top of the c-suite and are making key, strategic decisions to drive tangible impact on a company’s strategy. Quite the rise to the top for a function traditionally hidden away out of sight. 

              Supply chain transparency

              According to Johnny Ivanyi, Global Head of Logistics at Bayer Crop Science, one of the main areas he is focused on revolves around improving the transparency and visibility of the entire end-to-end supply chain. “I want to remove silos between system and process because Bayer to improve the performance of the operation as a global company,” he tells us. “The big question is how you can transform these dots of information into complete end-to-end connectivity and we call this ‘Smart Centre.’ You have to build transparency but also at the same time you have to ask how you can ensure real-time tracking in order to make the right decision. How can my team on the ground and the field make the right decision at the right time?”

              The Bayer Crop Science division is a world-leading agriculture enterprise with businesses in seeds, crop protection. The crop protection/seeds operating unit markets a broad portfolio of high-value seeds, while also providing extensive customer service for sustainable agriculture. The global supply and logistics team manages a large worldwide and local network of LSPs and suppliers to provide the ingredients necessary to make their products.

              Data-driven supply chain management

              In 2024, Bayer Crop Science chose a solution to provide their Supply Command Centre. Bayer joined the Digital Supply Chain Network to take advantage of a large and growing ecosystem, bringing efficiency, reliability, agility and predictability to their global supply chain operations. Speaking at the time of the announcement in 2024, Ivanyi said: “We have great expectations that this new platform will support us to improve our customer experience and our logistics operations throughout the entire global supply chain network.”

              Ivanyi joined Bayer in August 2019 and today leads the global supply chain and logistics strategy. As part of his role, he is driving the logistics transformation across regions by identifying, assessing and implementing innovative, best-in-class strategy methods and new technologies. These include Global Transportation Management Solutions (TMS), Global Warehousing Management Solutions (WMS), Last Mile Visibility, and Logistics Smart Centres, such as business intelligence and data analytics. He explains that another important item on his agenda today is change management amid the rise of new innovations entering the marketplace. “We have different generations in logistics so how do you share with your teams that there is a change in the mindset of the way of working? It’s not about show-and-join experience, but about making the right decisions with data,” says Ivanyi. “The final element is data connecting with generative AI (GenAI). The big challenge is balancing and prioritising everything.”

              GenAI journey

              Indeed, GenAI has become one of the biggest buzzwords in the supply chain and procurement space amid a significant industry-wide boom. Automation and the acceleration of new digital tools are transforming how companies operate and do business. However, one of the biggest questions within the industry today is how mature is this technology and how many use cases are there? In Ivanyi and Bayer’s case, they can back it up. 

              “We actually have several use cases — at least four or five in logistics and supply chain that we’re actively working on,” he reveals. “One key use case is maximising on-time delivery in our go-to-market strategy, from our distribution centres to customers. We’re leveraging machine learning and generative AI to analyse provider performance over the last two to three years, helping us predict their reliability today. For instance, if a provider has shown consistent delays in a particular route, we can anticipate issues and take proactive measures.

              “Another use case is within warehouse operations. Even though our organisation operates on a 3PL outsourcing model, we’re working on improving real-time warehouse visualisation—connecting inventory management with payment performance. The goal is to bridge the gaps between systems, improving operational efficiency.

              “A third major initiative is track-and-trace visibility for our 40,000 ocean containers worldwide. We rely on manual uploads to track container locations across multiple providers and platforms. We are exploring how GenAI and automation can eliminate human intervention while ensuring seamless system integration. The objective isn’t to replace people, but rather to enhance system interoperability and reduce manual workload. These are three of our most critical use cases, and while we have several proofs of concept underway, these remain top of mind for us right now.”

              Mitigating challenges

              Bayer is partnering with Gartner on its digital roadmap, and following a recent in-depth conversation, how to unleash the power of data was heavily discussed. According to Ivanyi, there are several key areas tied to success within data analytics. “If you have the right data, clearly understand your use case, and define your desired outcomes, you create a strong foundation for success. These three elements—data, use case clarity, and outcome alignment—are crucial,” he tells us. “We also believe in a step-by-step approach, starting with proof of concept. Rather than tackling everything at once, we begin with a single warehouse or distribution centre and scale up from there. However, the biggest challenge remains data, especially given the complexity within our ecosystem. As we transition to S/4HANA, we must also integrate various satellite systems. 

              “In my view, the key to generative AI success is having the right data and a clear vision. When these align, they drive meaningful outputs and impactful business outcomes. You can have cutting-edge technology powering your GenAI, but without high-quality data as the raw material and a clear framework to measure results, you’re setting yourself up for challenges. If you don’t know how to validate your data, there will be gaps.”

              Sustainability drive

              Alongside digital transformation, a second key topic dominating boardrooms and conferences today is sustainability. The business world has shifted and both the expectations of the consumer and global legislation dictate that greener strategies are the way forward, especially with the United Nations’ 2030 Agenda for Sustainable Development in the background. But Ivanyi is optimistic that things are moving in the right direction for Bayer and the wider industry. “I believe we are on the right track,” he says. “We are making significant progress and putting in a great deal of effort to drive meaningful outcomes. Our first priority is establishing the right metrics to measure CO2 emissions globally. By implementing a standardised metric, we can define our baseline and track progress toward our 2030 sustainability goals.

              “Secondly, we are embedding sustainability into every aspect of continuous improvement. As I mentioned before, we are exploring ways to align digital platforms with sustainability opportunities. It’s not just about cost efficiency—we also prioritise customer experience, which is a core obsession at Bayer, while ensuring sustainability is a fundamental part of our decision-making process.

              “In fact, we already have use cases in the field where real-time decisions are being made based on CO2 emissions. For example, when planning transportation from point A to point B, our Transportation Management System (TMS) can calculate mileage and estimate the CO2 emissions for a given route, enabling us to make informed, eco-conscious decisions. Ultimately, it’s about integrating sustainability into our platforms and daily operations. Every use case we develop should not only drive operational improvements but also align with our broader sustainability goals.”

              However, reaching sustainability targets isn’t easy and is impossible to achieve alone. Ivanyi believes that ensuring alignment and mutual understanding with partners is a key piece of the puzzle. “A crucial aspect of collaboration is working with our partners to develop the right solutions while fostering a strong sustainability mindset,” he explains. “The key is collaboration, step by step, with transparency at the core. We need to be open about our internal goals, the opportunities we see, and where we believe improvements can be made. Our partners should align with these sustainability objectives so that we’re all moving in the same direction. Ultimately, in the world of logistics, success comes down to how well you connect with your partners. At the end of the day, they are the ones putting the wheels on the road, so building a strong, clear collaboration with them is essential to driving progress.”

              Brighter future

              Looking ahead, the global investment in new technologies is not going to die down anytime soon. With the supply chain and logistics space set to be digital-focused for the foreseeable future, Ivanyi explains the biggest hurdle will be tailoring digitalisation to each individual organisation because all are built differently. “There’s no turning back—everyone is moving toward digital transformation,” he tells us. “Of course, this requires changes in processes and systems, but more importantly, it requires a shift in mindset. I always say it’s about moving ‘from data to behaviour.’ It’s not just about collecting information—it’s about using it to drive smart decision-making.

              “Think of it like a pilot in a cockpit. The key is having the right metrics and insights at your fingertips, enabling you to make the best decisions—whether they’re focused on customer experience, operational performance, or strategic direction. More and more, companies are investing in digitalisation because it’s the only way forward. But success doesn’t just come from implementing new technology; it comes from training teams and fostering a mindset that embraces this transformation.

              “Another critical element is differentiation. There’s no one-size-fits-all solution for companies operating on a global scale. You can’t apply the same tailored approach everywhere, but at the same time, there isn’t a single universal strategy that works for all. The key is striking the right balance—adapting to regional needs while maintaining a cohesive digital strategy.

              “One thing is clear: digital transformation is inevitable. The real question is where each company focuses its efforts—whether in warehousing, transportation, inventory, or beyond. Everyone is on this journey; the difference will be in how mature and strategic their approach is.”

              • Digital Supply Chain