BeNeering’s MD and CRO dig into the company’s history with AI, and the necessity of seeing beyond the hype of new technologies
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A privately-owned company with over 20 years of procurement digitalisation experience fueling it, BeNeering is at the forefront of the AI-powered revolution in its sector. BeNeering was founded in 2007. At the time, Christoph Moll, BeNeering founder and Managing Director, was busy implementing SAP SRM systems for large European multinationals. While this provided great experience, Moll could see the limitations – and he wanted to move beyond them. He wanted to do something more.
“That’s how BeNeering was founded,” he says. “We focused on consulting until 2013, at which point we transitioned to being a solutions provider. I cherry-picked a great development team, and I’m happy to say that the same strong team is with us still today. Stability is our value.”
Natalia Parmenova, Chief Revenue Officer, is an example of one such strong team member, who has enormous faith in the business. “From my perspective, BeNeering is a super special solution provider for a few reasons,” she states. “First of all, we believe in co-innovation. Everything we develop is built together with very large and advanced customers. We try to stay close to those customers, to people who are forward-thinking and developing their procurement functions, so we can develop solutions for them with them. We are not just inventing things we think are useful – we are basing our development on customer needs. That’s really important.”
Simplify and optimise
Many people fall into procurement accidentally. It’s a common story among procurement professionals, and a source of amusement considering how passionate many of them become about it. For Parmenova and Moll, however, it was a case of seeing the way the wind was blowing and following the scent of change.
“In 2001, when I was employed by SAP, I wanted to do things better to help users in procurement,” says Moll. “That was how it started for me. My vision was really to simplify and optimise steps and processes for both requestors and buyers.”
Dafydd Llewellyn digs into why businesses need to be deliberate about how they use AI
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Taking on a new leadership role can be both exciting and daunting. Dafydd Llewellyn is the CEO of HICX, having taken up the mantle in September. In fact, by the time we spoke with him, he’d only been at his post for five weeks – but he was buzzing with nothing but pure enthusiasm about it. At this crucial juncture, when the pace of change is faster than ever before, strong leadership is vital. As such, Llewellyn has his hand on the tiller as he guides HICX on the next part of its journey.
“We’re a supplier management platform,” he says. “Companies work with us because they want to transform their supplier management to become more unified, more strategic, and more intelligent. Ultimately, what that means is our customers’ businesses are really able to make the most and harness the power of the suppliers.”
AI in the real world
Being competitive in the modern day means being not just au fait with artificial intelligence, but having a deeper understanding of it. The theme of DPW Amsterdam this year, as with the New York event in June, was ‘Put AI to work’. While AI has been a topic of discussion for several years now, planning (and bracing) for its impact is a different matter. But HICX, led by Llewellyn, is ready.
“It’s great that DPW is focusing on AI,” he says. “At HICX, we are being very deliberate about the way we approach AI. The way we’re looking at it is really about using AI to allow procurement professionals to be more value-added in the tasks they do, and remove all the repetitive tasks that they really don’t want to be doing. They can drive more value for the business that way.
“So, we are looking at things around business processes and automation, right through to document capture, through to compliance checks; using AI agents enables us to do that,” Llewellyn continues. “I can give you a real-life example. If you think about the workflow for a new supplier in the old days, you’d have to have them involved to create that workflow. Now, we can use AI to create that workflow just by writing it in natural language.”
The proof, as they say, is in the pudding – and the evidence of TealBook’s increasingly-successful evolution lies in its client relationships
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We talked endlessly about data and AI at DPW New York 2025. A universal truth is that the successful implementation of AI requires clean data; it doesn’t have to be perfect, but businesses certainly need to have a decent handle on their data before adopting AI tools successfully.
To help make this a reality, North American data and software company TealBook has recently announced a legal entity-based data model. It’s designed to resolve supplier records to the correct legal entities, map parent-child relationships, and enrich profiles with verifiable attributes, enabling accurate supplier data to flow seamlessly into procurement systems and AI applications. “This is part of a 12-year journey for TealBook,” says Stephany Lapierre, the company’s Founder and CEO. “Our vision has always been to build a way to enable procurement organisations to have high quality data with a lot of integrity, in order to give them the trust they need to put data directly into their systems.
“Twelve years ago, we underestimated the complexity of getting large enterprises to trust a third-party data solution. As part of our journey, we started using AI early on to find information where it exists on supplier websites and databases, and start creating digital profiles in a structured way for procurement to access it, match it to their vendor master, and use it.”
TealBook’s evolution
But, again, at the beginning, TealBook couldn’t be sure whether the data was high enough quality. In 2017, the company was primarily known as a supplier discovery application, positioned as a pre-sourcing engine to help procurement teams identify alternative suppliers. At the time, TealBook’s data and models enabled it to determine which companies were similar to others, allowing users to search and find comparable suppliers to expand their sourcing options.
“But that was just a way for us to deliver something that was underserved in the market,” Lapierre continues. “Then our customers started asking for certificates, which are hard to collect and match. They needed cleaner data. They felt they were under-reporting. So in 2018, we started to see whether our technology could refine the data more, and focused on certificates and supplier diversity. We collected great use cases along this journey, and the vision never wavered.
“Just last year we released a new technology – completely different, really sophisticated – allowing us to pull from a lot more data sources, and we have provenance so our customers can actually verify where the data’s coming from. We can match it to vendor masters. And now, we also have this new model that includes 230 million verifiable global legal entities from across 145 countries’ registries. We marry this with global parent and child hierarchy, which is really hard for our customers to match themselves.”
Partnership with Kraft Heinz
Now, after 12 years of that vision, TealBook is deeply proud of what it’s achieved. Part of its ability to get to this point is due to early adoption from key customers. Kraft Heinz is a business which Lapierre describes as a “co-innovation partner”, and has been invaluable in helping TealBook achieve its recent goals.
From the perspective of Stefanie Fink, Head of Global Data and Digital Procurement at Kraft Heinz, the partnership has been an immediately valuable one. “It really started with having a visionary, like-minded relationship,” she says. “That’s an important piece of it, because my vision for procurement is that we are partners in our enterprise.
“In order for us to do our jobs, we have to bring in the right data for use. This is where Stephany’s partnership and vision really resonated. We were really looking for diversity and we could make things easier for our partners, while making sure we had the right people in our ecosystem. We also had to lift up the hood and see what was underneath everything we’ve got. Stephany brought our vision to life. TealBook has evolved too, as we’ve seen; it’s more about orchestration and software-as-a-service. It has been a partnership of need and we cannot continue to do other things without this kind of partnership around data.”
When initially dabbling with this relationship, Fink was clear that Kraft Heinz had no desire to be taking care of more stuff. What she wanted from TealBook was a strong focus on good quality data. After last year’s product release from TealBook, Kraft Heinz already saw its data enriched by 25%. The recently-announced new data model gives the business and TealBook’s other customers the right structure tied to a legal entity, which is a highly credible anchor. “We’re able to do entity resolution – all automated – remove all the duplicates, and then you start with a clean, digitised vendor master,” says Lapierre. “That’s what brings further enrichment.”
The challenge of assessing data quality
Assessing its data before involving TealBook was important for Kraft Heinz, but challenging for such a large organisation. “We had to fail first and fail fast,” says Fink. “We tried some AI around fixing things early, but that didn’t work for us. It was a real eye-opener, realising where this next evolution could take us regarding focusing on AI and agents for the right things, not the meaningless things. Before, we were asking agents to tell us if things were duplicates, when we should have been asking: what do these suppliers offer? Where is the innovation? Where is the value?”
What surprised Fink most when looking under Kraft Heinz’s hood was the lack of attention that was being paid to what the business was doing. “It was amazing that nobody had questioned it sooner,” she says. “So I said, let’s take this as a crawl, walk, run approach, and I have a wonderful CPO who really understands where we want procurement to go as a function. She was excited about us just getting it done and getting people involved, and that’s what it takes: real pride in ownership of the data.”
Getting engrossed in GenAI
True partnership and an all-in approach has enabled Kraft Heinz to work successfully with AI – something some businesses are struggling with as the conversation around artificial intelligence grows louder. For Lapierre, as the CEO of a tech company, adopting AI successfully has meant trying and failing and being fully entrenched in AI as it has evolved.
“We’ve been using AI in our technology since 2016,” she states. “We’re an early adopter. We’d be talking about scraping data, and data in the cloud, and AI models, and our customers’ pupils would widen in surprise. We’ve come a long way and the market has come a long way.
“The technology we deliver today wouldn’t be possible without the AI tools now at our disposal. We used to build models; we don’t do that anymore. We spend a lot of time investing in engineers to build and test models, and that’s made us so much more efficient. I use GenAI every day for so many things now, and I’m encouraging my team to be so involved in AI. That’s how you build expertise, and you need really strong expertise to use GenAI well.
“Getting good with AI is about taking risks and having a leadership team that pushes for new things, and suddenly the successful use of AI becomes a habit.”
The march towards agentic AI can be a daunting thing, but it’s important to get over that fear in order to make strides
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A common question when discussing AI is ‘where do humans fit in?’. The fear of technological advancements stealing our jobs is an old one, but the conclusion is always the same and always true: there will never be a time when human judgement and teamwork isn’t required.
At DPW New York 2025, we sat down with Rinus Strydom, Chief Revenue Officer at Pactum AI, and Steven Velte, Executive Director Procurement Transformation at Honeywell – a customer of Pactum AI – to discuss AI’s evolution and the human connection. As AI develops, for Strydom, Pactum’s focus is on agentic, rather than generative. There’s a key difference there, especially for initial adoption at large enterprises.
“A lot of enterprises feel a little bit afraid, because generative AI can go a little off the rails,” he explains. “But when you put agents to work, they’re always within the rails that are defined by the customers. Once we get over that hurdle and can make clients see that they can take their procurement operating model and have it just run at scale with agents, rather than being afraid that their image will get tarnished, AI can be put to work much faster.”
Putting AI to work
When it comes to strategies procurement leaders can adopt to make AI work for them, it’s a major discussion point for Strydom and Velte. As a customer, it’s important for Honeywell to feel like its work with Pactum AI is a collaboration; it’s part of what makes its strides into AI work successfully. “This collaboration goes deeper than what we’ve typically had in the past,” says Velte.
“When we go through organisational changes, we need a true partner, And when that partner gets into the elevator with you, they don’t just push the button with you – they go up to the next floor with you and sit at the table to talk about what’s happening. So a barrier to AI adoption is not having that deep collaboration and partnership.”
“I think another thing leaders can do today is really help with that psychological change management to make it feel like a safe thing,” Strydom adds. Mindset shift is such a vital part of this change, especially when it comes to successful collaboration. “It’s important to embrace agentic AI, to encourage people to become managers of agents and not run away or become fearful.”
Identifying the opportunities
The true benefits of AI are now beginning to present themselves, as people increasingly embrace AI. For Velte, businesses have to get going with their AI plans in order to realise where the real opportunities lie. “I can make a business case with tons of ROI, potential productivity gains, revenue uplift, bottom line, profit line – all of that. But the real benefits that come from AI are those hidden benefits we don’t realise. When you start looking at it, there’s a common theme of saving time, and time becomes the real benefit. Unlocking better use of time gives you more potential to work on other creative aspects of the business.”
For Strydom, the true value lies in achieving things that used to be extremely difficult to achieve. Pactum AI’s customer base is broadly looking at 10X ROI, which, now, is easily done thanks to the use of AI agents. Agents also allow procurement teams to scale extremely fast, which is something that has, historically, been hard-won.
“For example, if you need to change payment terms across your entire supply base, you can do that with thousands of agents in parallel. You could never do that before. It gives you the agility to react to global macro risk issues, like tariffs.”
Start now; perfection comes later
One of the loudest topics of conversation at DPW New York 2025 was data quality and the challenge of cleaning that data up. It’s a huge topic, and a daunting one. Many businesses fall into the trap of thinking their data has to be perfect before they can get fully involved with AI, but the conclusion many procurement leaders are coming to is that getting started is more important than perfection.
“Data quality is always the holy grail going forward,” says Velte. “Everyone’s going to look for it, and try to attain it. When you start implementing within an AI framework, you just need to go in there and know that you’re going to constantly evolve in a good way, thanks to the agents, AI programs, and initiatives. They’re going to uncover and unlock a lot of data and inconsistencies that you have. You won’t get there unless you start looking into them as an opportunity area. Data perfection is not the way to go; it’s about getting in there, starting to look at the opportunities, and being willing to be creative, disruptive, and innovating quickly.
“There’s never going to be a time when everything is 100% correct and accurate, because data is always evolving,” adds Strydom. “Start now. The data can be enriched over time with the agents’ help.”
Maximum savings, maximum momentum
Pactum is using AI specifically to enable it to be a strategic advisor for customers like Honeywell. The use cases coming out are very new, and changing fast. What Strydom and his team want is to be able to guide customers on the right strategies for them, how to get maximum savings, and maximum momentum. As this landscape becomes more complex, human intervention and guidance is more important than ever, which links back to the topic of mindset and change management.
There’s been a lot of debate within Pactum AI as to how the business embraces this. “From a marketing perspective, too, there’s the question of whether we should make our agents look human,” says Strydom. “Actually, what we’re seeing is that suppliers actually enjoy interfacing with a bot. Walmart, one of our customers, did a survey where they found that 85% of their suppliers actually prefer to negotiate with Pactum than with a human. It’s more efficient, fair, and unbiased.”
Speaking of humans, shortage of talent has been a talking point within procurement for some time. That was, until advanced tech became more widely adopted, and bringing in procurement experts became less important than bringing in technology experts who are willing to learn. With the advent of agentic AI, according to Strydom, procurement leaders are now acting as managers of agents.
“All the analyst surveys say that procurement organisations are being asked to do more with less every year,” he says. “So the type of talent is definitely transforming. What we see is that the procurement organisations of the future are much more strategic. They’re focusing on creating strategy and procurement policies and procedures, and then having the agents actually go out and do the menial day-to-day work – entering things into ERP, turning requisitions into purchase orders, onboarding suppliers, and so on. All of that can now be done very quickly and efficiently by agents. This really elevates the role, and allows procurement to become a partner to the business.”
Velte adds: “When you talk about talent shortage, it’s also that shift in the mindset we’re going through right now. The expertise is changing, and we want to be able to bring in talented people with that technology flare. When we look at the next generation of leaders coming out of university and college, they’re AI enabled already. They’re expecting AI to be available to them to accelerate their development, career goals, and ambitions.”
Making sense of the landscape
As DPW New York 2025 unfolded around us, the discussion inevitably turned to the ways in which DPW helps procurement make sense of the AI landscape. Pactum AI is actually a perfect example of how useful DPW is. Only four years ago, the business was a startup, and won a pitch contest at DPW Amsterdam. “That catapulted the business, and got us a lot of visibility,” says Strydom. “It’s a great place for visibility with practitioners, investors, and partners.”
Again, it comes back to people. Being able to meet them in real life, communicate face-to-face, and learn from one another. “It’s about reconnecting with a lot of our partners,” says Velte. “But it’s also about seeing what is out there on the forefront that’s becoming available. It’s an amazing opportunity for us to really benchmark ourselves, while also getting a glimpse of what’s coming around the corner.”
From automating decisions to redefining procurement talent, AlixPartners lays out why risk-takers lead the way.
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The use of artificial intelligence (AI) in procurement is gaining traction with many organisations already looking at how the technology can improve processes. However, there’s scope to go beyond efficiency and instead focus on transforming value delivery.
At DPW New York, we spoke to Amit Mahajan and Aaron Addicoat from AlixPartners, a management consultancy firm doing things a little differently. The organisation is advising its clients on how to implement AI to drive value, but it’s also using AI internally, too.
“AlixPartners has a unique business model,” explains Addicoat. “We have a very senior model, very few junior resources. So now you imagine taking people with 10 or 15 years experience and now you equip them with AI… For us, it’s a huge unlock.”
This is about more than just productivity gains. AlixPartners focuses on using AI to transform the way procurement teams work, while crucially, maintaining the human touch.
How procurement professionals are using AI
With the support of technology, it’s possible to shift procurement from a cost-saving exercise to a potential revenue driver. Procurement teams are already looking for these opportunities, as Mahajan explains. “They’re starting to think about new ways of doing things,” he says. “It’s not just automation, but asking how do I leapfrog and do something differently?”
There are plenty of use cases where AI is helping with automation. This is a great place to start as it frees up human workers to do more valuable jobs that need a personal touch. “I have a client who’s using AI every day,” says Addicoat. “This allows them to review documents and contracts rapidly, to find key clauses and termination dates. They’re also using it in spend control processes to identify which things need to be reviewed more thoroughly.”
Many organisations are also using AI agentically to create their own bots. This gives teams a more accessible way to review information. “One example is a client who’s using AI for their business to help with acronyms,” says Addicoat. “They built it as an acronym tool to help break down the language barrier between different functions using different terms. This led to better engagement.”
This empowers employees across an organisation to be more autonomous while still getting the full picture. Agentic AI, especially, allows them to interact with information in a way that previously would’ve required specialist technical knowledge. Now, it’s possible to query information within a contract directly.
“It’s about using agents and AI to look at anomalies within your procurement contracts,” explains Mahajan, “and be able to help the category analysts, the category specialists, and others to get more of those insights.”
While generative AI might be a hot topic, it’s not the only way to use the technology. In combining several sources of data and using AI to spot trends, it’s possible to create workflows tailored to the current environment. Addicoat explains: “We take a series of data inputs, such as weather patterns, lead times, contractual terms, inventory, and forecast. Then the AI generates the purchase order, queues it for review, and upon approval, places the order.”
This can help an organisation to place orders with the right supplier in the most timely fashion to avoid delays, and optimise for cost, for example. This fully automates the end-to-end process, using AI to interpret those important data signals.
While this is useful for procurement teams, it’s only the start. “Using AI in this way is really cool,” says Addicoat, “but what I found most fascinating is that you’re building a data model, and with AI layered into it, that over time can tell you how to optimise itself.”
This has huge implications for procurement teams looking to save money and drive revenue. “For example, it could tell us the commodity price at a certain point in time was low,” says Addicoat, “but because inventory capacity to hold resin was maxed out the client could only buy so much at that low price. So now investing in a new storage unit at a cost of a few hundred thousand dollars could, under the same scenario in the future, save millions of dollars..Data quality challenges
A roadblock that can stop procurement teams from fully embracing AI is a lack of quality data. With so many sources of information, often including paper-based documents, some might think it’s difficult to get the data AI needs to be truly useful.
“Don’t wait for everything to be perfect before you get started,” says Addicoat.
This is a sentiment echoed by Mahajan: “Use AI to solve your data problem before solving your business problems.”
This requires a mindset shift. While AI can help cleanse, enrich, and structure existing unstructured data, it’s important to take the right approach. Shift from asking ‘what can we do with our data?’ to ‘what value do we need to create?’ and work backwards from there.
With this approach, the questions are less about the data and more about the business problem. This then allows you to use AI to work with the information you have to help answer those questions.
“Start with the value proposition in mind and work backwards,” explains Addicoat. “You can get data from anywhere — it has to serve a purpose.”
Bringing back the human touch
AI can free up procurement teams to focus on tasks that need more nuance and expertise. Using technology to automate workflows and make information more accessible has a huge impact on employee productivity. “It’s fundamentally transforming the way they work, the amount of work they can do, and the type of work they’re able to do,” says Addicoat.
There’s always the worry that with any new technology, the human element will be forgotten. “With every new advancement that comes in,” says Mahajan, “whether that was a steam engine or when computers came along, everybody wondered what they were going to do. But as humans, we always find ways to start doing higher-level work.”
This means that many professionals will find new ways of doing things. “Imagine all the mundane tasks you have to do in your daily job now,” Addicoat continues. “With these new ways of working, imagine the speed with which you can turn an idea into something real. All that time you free up allows you to go talk to people and build relationships that mean something.”
On the other side of things, the sheer volume of AI-generated content out there is going to drive people towards those more meaningful interactions. “You don’t know what to trust and what to believe anymore,” Addicoat says. “That’s going to lead to a resurgence in face-to-face content, being at the office, and being at events.”
AI’s impact on procurement talent
The talent landscape is changing. With technology playing a larger part than ever before, organisations don’t just need procurement professionals, they need adaptable, tech-savvy people. The nature of the job means that those in procurement need a wide range of skills.
“We do everything,” says Addicoat, “legal, operations, supply chain, negotiation, analytics. Procurement professionals are generalists.”
Tech plays into every element of that skillset, which means tech skills are becoming even more important for candidates applying for procurement roles. “Nobody goes to college thinking they’ll be a procurement professional,” says Mahajan, “but with AI and tech, that’s changing.”
With procurement often seen as a proving ground for leadership, embedding these tech-minded generalists could have a huge impact on the future. “We have a shortage of talent,” explains Addicoat. “But with more and more CEOs and COOs coming from procurement, that speaks volumes to what procurement does and the value it brings, as well as what the future holds.”
At AlixPartners, the passion for procurement is very clear with Addicoat saying: “There are only two kinds of people in the world: those who love procurement and those who don’t know it yet.”
Change is coming
With AI of all forms steadily gaining traction, procurement could change dramatically in the coming years. It’s the organisations that are willing to take risks and embrace change that will come out on top.
“AI has the potential to disrupt the whole management consulting world,” says Mahajan. “Firms focused on transformation will thrive.”
With AI’s capabilities increasing rapidly, it’s difficult to predict what comes next. However, adaptability is key. “Hold onto your hat. In a year and a half, the world’s going to look very different,” concludes Addicoat.
AI is already transforming procurement, but meaningful value depends on more than just tools. At Beroe, that starts with aligning AI to real business problems
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As AI continues to dominate conference stages and boardroom discussions, the pressure to use it is everywhere. As this technology becomes further embedded in enterprise strategy, many organisations are still grappling with how to apply it in a way that delivers real, measurable value.
Rather than focusing on AI for the sake of innovation, the question now is how to align new tools with real business problems. That means looking beyond dashboards and pilots to deploy AI where it can simplify decision-making and improve processes.
At Beroe, this principle is central to how AI solutions are developed, deployed, and scaled. As the company behind the world’s leading procurement intelligence platform, Beroe provides real-time market data, cost analysis, and supplier risk assessments, empowering thousands of organisations globally to streamline operations and mitigate risks. Its latest advances in autonomous negotiation, supplier discovery, and predictive analytics show what it means to align AI with business objectives.
Speaking with Prerna Dhawan, Chief Product Officer at Beroe, during this year’s DPW New York conference, the discussion explored how procurement leaders can move beyond hype and start unlocking the full potential of AI.
Misalignment with business needs
There are plenty of real-world examples of how AI can improve efficiency within a business, from automating manual tasks like invoice processing to identifying new suppliers based on complex sourcing criteria. Accessing this technology is easier than ever with a wide range of tools available to procurement professionals. It can be tempting to jump on the bandwagon and integrate AI across every area of an organisation, but success requires a more nuanced approach.
The key is to ask the right questions, Dhawan explains: “We talk about all the latest and greatest technology out there, but what does it mean in practical terms? We need to ask, ‘How can I apply it today in the work I am doing as a head of product or as a procurement professional?’”
The allure of generative AI is especially strong, but business leaders should ask whether that’s the right solution for their needs. As with any decision, it’s important to consider the business problem. “It starts with a little bit of knowledge about what you’re looking for,” says Dhawan. “What are some of your biggest challenges, and which of those challenges could AI technology solve?”
Matching the right tool to the job
Once an organisation has identified a specific problem, it’s possible to find the AI solution that fits. While generative AI gets a lot of attention, other AI technologies and machine learning based systems might be more appropriate.
In some cases, prescriptive, rule-based, or predictive AI could be a better choice to solve a problem without the need for a large language model. For example, forecasting commodity prices doesn’t require generative AI, just strong, contextual machine learning.
“We are looking at AI across two dimensions,” says Dhawan. “Firstly, what is our offering to customers, in terms of procurement intelligence and autonomous negotiation technology. Second, we are looking at AI internally. Let’s say in product development, how do we use the latest AI solutions to accelerate our product development cycles so we can release new modules and capabilities more quickly.”
Regardless of the type of tool chosen, it should cover a high-impact use case. Integrating AI to solve a problem that only surfaces for a small group of people a couple of times a year won’t have a great return on investment. Instead, look for regularly occurring problems that, if fixed, could have a huge impact on productivity or quality.
Reducing the cognitive load
We’re already bombarded by information, and the use of AI to add to this doesn’t make sense. “I don’t need another dashboard in my life,” says Dhawan.
When implemented correctly, AI can make data more accessible while reducing cognitive load for users. The result is increased productivity and faster decision-making.
“I think the power of AI is to simplify access to data. This is why ChatGPT has been a success: it democratises access to information. That’s what our B2B technology world is waiting for. It gives me something simple that allows me to talk to my data. Then I can focus on what insights I need to make a decision or take action.”
For most B2B users, the key is intelligent simplification. Look for ways to simplify access to data through agent AI tools and conversational interfaces. This brings the focus back to action rather than dashboards.
Inside Beroe
While many procurement teams are still exploring AI’s potential, Beroe has already embedded it across both its platform and internal operations. The company, founded in 2006, provides procurement intelligence to thousands of organisations worldwide. Its platform delivers the critical data that professionals need to make informed sourcing decisions, from commodity prices and risk indicators to ESG scores and supplier intelligence.
“We provide all data that procurement needs for decision making, whether it’s cost data, risk data, ESG data or price data,” says Dhawan. “Our reimagination of the future is not just giving access to more data but creating that layer of recommendations that help you make decisions at speed and scale.”
One of the clearest examples of this in action is Beroe’s new ‘autonomous negotiations’ platform resulting from its recent acquisition of negotiation technology business, nnamu. Delivering a significant evolution in the procurement technology landscape the platform enhances the foundational elements of AI and game theory with Beroe’s industry-leading market intelligence and, according to Dhawan, it’s being deployed successfully in live sourcing scenarios.
“This is a technology that is being used for multilateral negotiations,” Dhawan explained. “It’s no longer just a POC or prototype, it’s live and being used at scale.” These new tools reflect Beroe’s core mission: to help procurement professionals minimise surprises and maximise margins.
Crucially, Beroe isn’t waiting for perfect data to apply these technologies. Instead, the company is using AI to work with what’s available — cleansing, interpreting, and extracting value from both structured and unstructured sources.
“You can use AI for cleansing data – even paper contracts,” Dhawan says. “Historically, we thought data had to be structured. But now, with vision models and image analytics, that’s no longer the case.”
Rather than striving for 100% accuracy before taking action, Beroe embraces a more agile mindset that balances speed and precision.
Is mindset holding procurement back?
The technology is ready. The use cases are proven. So why do so many procurement teams still hesitate to embrace AI? “There’s this subconscious fear that I think is a barrier to adoption,” she said. “And to some extent, it’s to do with our friends in Hollywood.”
There’s the myth that AI is a job-threatening black box, especially in industries where trust and experience are the backbone of good decision-making. For procurement, where professional judgement and business context are critical, the idea of handing over tasks to AI can feel risky.
But Dhawan believes this fear is misplaced. At Beroe, AI isn’t replacing procurement professionals, it’s augmenting them. Whether it’s surfacing new suppliers, automating elements of negotiation, or flagging risks earlier in the sourcing cycle, the aim is to enhance human decision-making. She says: “I think with the new kinds of AI technology that’s available to us, it is an opportunity for us in B2B tech to embrace more human-centred design with higher focus on UX.”
Looking ahead
Looking ahead to 2026 and beyond, Dhawan sees procurement evolving into a more personalised and responsive function – one where AI plays a critical role in both strategy and execution.
“We see hyper-personalisation coming, both in supplier relationships and internal stakeholder engagement,” she explains. “AI will be at the centre of that.”
Rather than one-size-fits-all sourcing strategies, AI will enable procurement teams to tailor their approaches to specific business units, categories, or even individual suppliers. This means smarter segmentation, more relevant insights, and stronger commercial outcomes.
Another key shift is the growing ability to connect macro events, such as geopolitical shocks or regulatory changes, with micro actions inside the business. AI can help procurement teams identify these signals earlier, respond faster, and still align with long-term goals such as cost efficiency or sustainability.
“It’s about balancing your fire-fighting reactions to market events with your long term goals and strategy,” says Dhawan. “Procurement needs visibility and flexibility at the same time.”
Beroe is already moving in this direction. Alongside its growing AI capabilities, the company is refining how it delivers intelligence, building agents and recommendation layers that not only inform decisions, but also help teams take action on them. Whether that means automating routine negotiations or proactively flagging supply risks, Beroe is evolving to meet the needs of a procurement function that’s more dynamic than ever.
As Dhawan points out, the goal isn’t to overwhelm teams with more tools, it’s to make their lives easier. “It’s about reducing complexity and giving procurement professionals confidence in what to do next,” she concludes.
For many procurement leaders, AI still feels like a long-term ambition. But the solutions are already here, and through companies like Beroe, they’re already in use. The challenge now is not whether AI can deliver value. It’s whether teams are ready to adopt the mindset and cultural shift that will allow them to unlock that value.
AI’s rapid evolution is creating both opportunity and urgency. AlixPartners lays out what needs to change — and why risk-takers will lead the way.
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The use of artificial intelligence (AI) in procurement is gaining traction with many organisations already looking at how the technology can improve processes. However, there’s scope to go beyond efficiency and instead focus on transforming value delivery.
At DPW New York, we spoke to Amit Mahajan and Aaron Addicoat from AlixPartners, a management consultancy firm doing things a little differently. The organisation is advising its clients on how to implement AI to drive value, but it’s also using AI internally, too.
“AlixPartners has a unique business model,” explains Addicoat. “We have a very senior model, very few junior resources. So now you imagine taking people with 10 or 15 years experience and now you equip them with AI… for us, it’s a huge unlock.”
This is about more than just productivity gains. AlixPartners focuses on using AI to transform the way procurement teams work, while crucially, maintaining the human touch.
How procurement professionals are using AI
With the support of technology, it’s possible to shift procurement from a cost-saving exercise to a potential revenue driver. Procurement teams are already looking for these opportunities, as Mahajan explains. “They’re starting to think about new ways of doing things,” he says. “It’s not just automation, but asking how do I leapfrog and do something differently?”
There are plenty of use cases where AI is helping with automation. This is a great place to start as it frees up human workers to do more valuable jobs that need a personal touch. “I have a client who’s using AI every day,” says Addicoat. “This allows them to review documents and contracts rapidly, to find key clauses and termination dates. They’re also using it in spend control processes to identify which things need to be reviewed more thoroughly.”
Many organisations are also using AI agentically to create their own bots. This gives teams a more accessible way to review information. “One example is a client who’s using AI for their business to help with acronyms,” says Addicoat. “They built it as an acronym tool to help break down the language barrier between different functions using different terms. This led to better engagement.”
This empowers employees across an organisation to be more autonomous while still getting the full picture. Agentic AI, especially, allows them to interact with information in a way that previously would’ve required specialist technical knowledge. Now, it’s possible to query information within a contract directly.
“It’s about using agents and AI to look at anomalies within your procurement contracts,” explains Mahajan, “and be able to help the category analysts, the category specialists, and others to get more of those insights.”
While generative AI might be a hot topic, it’s not the only way to use the technology. In combining several sources of data and using AI to spot trends, it’s possible to create workflows tailored to the current environment. Addicoat explains: “We take a series of data inputs, such as weather patterns, lead times, contractual terms, inventory, and forecast. Then the AI generates the purchase order, queues it for review, and upon approval, places the order.”
This can help an organisation to place orders with the right supplier in the most timely fashion to avoid delays, and optimise for cost, for example. This fully automates the end-to-end process, using AI to interpret those important data signals.
While this is useful for procurement teams, it’s only the start. “Using AI in this way is really cool,” says Addicoat, “but what I found most fascinating is that you’re building a data model, and with AI layered into it, that over time can tell you how to optimise itself.”
This has huge implications for procurement teams looking to save money and drive revenue. “For example, it could tell us the commodity price at a certain point in time was low,” says Addicoat, “but because inventory capacity to hold resin was maxed out the client could only buy so much at that low price. So now investing in a new storage unit at a cost of a few hundred thousand dollars could, under the same scenario in the future, save millions of dollars..Data quality challenges
A roadblock that can stop procurement teams from fully embracing AI is a lack of quality data. With so many sources of information, often including paper-based documents, some might think it’s difficult to get the data AI needs to be truly useful.
“Don’t wait for everything to be perfect before you get started,” says Addicoat.
This is a sentiment echoed by Mahajan: “Use AI to solve your data problem before solving your business problems.”
This requires a mindset shift. While AI can help cleanse, enrich, and structure existing unstructured data, it’s important to take the right approach. Shift from asking ‘what can we do with our data?’ to ‘what value do we need to create?’ and work backwards from there.
With this approach, the questions are less about the data and more about the business problem. This then allows you to use AI to work with the information you have to help answer those questions.
“Start with the value proposition in mind and work backwards,” explains Addicoat. “You can get data from anywhere — it has to serve a purpose.”
Bringing back the human touch
AI can free up procurement teams to focus on tasks that need more nuance and expertise. Using technology to automate workflows and make information more accessible has a huge impact on employee productivity. “It’s fundamentally transforming the way they work, the amount of work they can do, and the type of work they’re able to do,” says Addicoat.
There’s always the worry that with any new technology, the human element will be forgotten. “With every new advancement that comes in,” says Mahajan, “whether that was a steam engine or when computers came along, everybody wondered what they were going to do. But as humans, we always find ways to start doing higher-level work.”
This means that many professionals will find new ways of doing things. “Imagine all the mundane tasks you have to do in your daily job now,” Addicoat continues. “With these new ways of working, imagine the speed with which you can turn an idea into something real. All that time you free up allows you to go talk to people and build relationships that mean something.”
On the other side of things, the sheer volume of AI-generated content out there is going to drive people towards those more meaningful interactions. “You don’t know what to trust and what to believe anymore,” Addicoat says. “That’s going to lead to a resurgence in face-to-face content, being at the office, and being at events.”
AI’s impact on procurement talent
The talent landscape is changing. With technology playing a larger part than ever before, organisations don’t just need procurement professionals, they need adaptable, tech-savvy people. The nature of the job means that those in procurement need a wide range of skills.
“We do everything,” says Addicoat, “legal, operations, supply chain, negotiation, analytics. Procurement professionals are generalists.”
Tech plays into every element of that skillset, which means tech skills are becoming even more important for candidates applying for procurement roles. “Nobody goes to college thinking they’ll be a procurement professional,” says Mahajan, “but with AI and tech, that’s changing.”
With procurement often seen as a proving ground for leadership, embedding these tech-minded generalists could have a huge impact on the future. “We have a shortage of talent,” explains Addicoat. “But with more and more CEOs and COOs coming from procurement, that speaks volumes to what procurement does and the value it brings, as well as what the future holds.”
At AlixPartners, the passion for procurement is very clear with Addicoat saying: “There are only two kinds of people in the world: those who love procurement and those who don’t know it yet.”
Change is coming
With AI of all forms steadily gaining traction, procurement could change dramatically in the coming years. It’s the organisations that are willing to take risks and embrace change that will come out on top.
“AI has the potential to disrupt the whole management consulting world,” says Mahajan. “Firms focused on transformation will thrive.”
With AI’s capabilities increasing rapidly, it’s difficult to predict what comes next. However, adaptability is key. “Hold onto your hat. In a year and a half, the world’s going to look very different,” concludes Addicoat.
We spoke to Chief Product Officer Prerna Dhawan about what it takes to move from experimentation to execution.
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As AI continues to dominate conference stages and boardroom discussions, the pressure to use it is everywhere. As this technology becomes further embedded in enterprise strategy, many organisations are still grappling with how to apply it in a way that delivers real, measurable value.
Rather than focusing on AI for the sake of innovation, the question is how to align new tools with real business problems. That means looking beyond dashboards and pilots to deploy AI where it can simplify decision-making and improve processes.
At Beroe, this principle is central to how AI solutions are developed, deployed, and scaled. As the company behind the world’s leading procurement intelligence platform, Beroe provides real-time market data, cost analysis, and supplier risk assessments, empowering thousands of organisations globally to streamline operations and mitigate risks. Its latest advances in autonomous negotiation, supplier discovery, and predictive analytics show what it means to align AI with business objectives.
We spoke with Prerna Dhawan, Chief Product Officer at Beroe, during this year’s DPW New York conference. The discussion explored how procurement leaders can move beyond hype and start unlocking the full potential of AI.
Misalignment with business needs
There are plenty of real-world examples of how AI can improve efficiency within a business, from automating manual tasks like invoice processing to identifying new suppliers based on complex sourcing criteria. Accessing this technology is easier than ever with a wide range of tools available to procurement professionals. It can be tempting to jump on the bandwagon and integrate AI across every area of an organisation, but success requires a more nuanced approach.
The key is to ask the right questions, Dhawan explains: “We talk about all the latest and greatest technology out there, but what does it mean in practical terms? We need to ask, ‘How can I apply it today in the work I am doing as a head of product or as a procurement professional?’”
The allure of generative AI is especially strong, but business leaders should ask whether that’s the right solution for their needs. As with any decision, it’s important to consider the business problem. “It starts with a little bit of knowledge about what you’re looking for,” says Dhawan. “What are some of your biggest challenges, and which of those challenges could AI technology solve?”
Matching the right tool to the job
Once an organisation has identified a specific problem, it’s possible to find the AI solution that fits. While generative AI gets a lot of attention, other AI technologies and machine learning based systems might be more appropriate.
In some cases, prescriptive, rule-based, or predictive AI could be a better choice to solve a problem without the need for a large language model. For example, forecasting commodity prices doesn’t require generative AI, just strong, contextual machine learning.
“We are looking at AI across two dimensions,” says Dhawan. “Firstly, what is our offering to customers, in terms of procurement intelligence and autonomous negotiation technology. Second, we are looking at AI internally. Let’s say in product development, how do we use the latest AI solutions to accelerate our product development cycles so we can release new modules and capabilities more quickly.”
Regardless of the type of tool chosen, it should cover a high-impact use case. Integrating AI to solve a problem that only surfaces for a small group of people a couple of times a year won’t have a great return on investment. Instead, look for regularly occurring problems that, if fixed, could have a huge impact on productivity or quality.
Reducing the cognitive load
We’re already bombarded by information, and the use of AI to add to this doesn’t make sense. “I don’t need another dashboard in my life,” says Dhawan.
When implemented correctly, AI can make data more accessible while reducing cognitive load for users. The result is increased productivity and faster decision-making.
“I think the power of AI is to simplify access to data. This is why ChatGPT has been a success: it democratises access to information. That’s what our B2B technology world is waiting for. It gives me something simple that allows me to talk to my data. Then I can focus on what insights I need to make a decision or take action.”
For most B2B users, the key is intelligent simplification. Look for ways to simplify access to data through agent AI tools and conversational interfaces. This brings the focus back to action rather than dashboards.
Inside Beroe
While many procurement teams are still exploring AI’s potential, Beroe has already embedded it across both its platform and internal operations. The company, founded in 2006, provides procurement intelligence to thousands of organisations worldwide. Its platform delivers the critical data that professionals need to make informed sourcing decisions, from commodity prices and risk indicators to ESG scores and supplier intelligence.
“We provide all data that procurement needs for decision making, whether it’s cost data, risk data, ESG data or price data,” says Dhawan. “Our reimagination of the future is not just giving access to more data but creating that layer of recommendations that help you make decisions at speed and scale.”
One of the clearest examples of this in action is Beroe’s new ‘autonomous negotiations’ platform resulting from its recent acquisition of negotiation technology business, nnamu. Delivering a significant evolution in the procurement technology landscape the platform enhances the foundational elements of AI and game theory with Beroe’s industry-leading market intelligence and, according to Dhawan, it’s being deployed successfully in live sourcing scenarios.
“This is a technology that is being used for multilateral negotiations,” Dhawan explained. “It’s no longer just a POC or prototype, it’s live and being used at scale.” These new tools reflect Beroe’s core mission: to help procurement professionals minimise surprises and maximise margins.
Crucially, Beroe isn’t waiting for perfect data to apply these technologies. Instead, the company is using AI to work with what’s available — cleansing, interpreting, and extracting value from both structured and unstructured sources.
“You can use AI for cleansing data – even paper contracts,” Dhawan says. “Historically, we thought data had to be structured. But now, with vision models and image analytics, that’s no longer the case.”
Rather than striving for 100% accuracy before taking action, Beroe embraces a more agile mindset that balances speed and precision.
Is mindset holding procurement back?
The technology is ready. The use cases are proven. So why do so many procurement teams still hesitate to embrace AI? “There’s this subconscious fear that I think is a barrier to adoption,” she said. “And to some extent, it’s to do with our friends in Hollywood.”
There’s the myth that AI is a job-threatening black box, especially in industries where trust and experience are the backbone of good decision-making. For procurement, where professional judgement and business context are critical, the idea of handing over tasks to AI can feel risky.
But Dhawan believes this fear is misplaced. At Beroe, AI isn’t replacing procurement professionals, it’s augmenting them. Whether it’s surfacing new suppliers, automating elements of negotiation, or flagging risks earlier in the sourcing cycle, the aim is to enhance human decision-making. She says: “I think with the new kinds of AI technology that’s available to us, it is an opportunity for us in B2B tech to embrace more human-centred design with higher focus on UX.”
Looking ahead
Looking ahead to 2026 and beyond, Dhawan sees procurement evolving into a more personalised and responsive function – one where AI plays a critical role in both strategy and execution.
“We see hyper-personalisation coming, both in supplier relationships and internal stakeholder engagement,” she explains. “AI will be at the centre of that.”
Rather than one-size-fits-all sourcing strategies, AI will enable procurement teams to tailor their approaches to specific business units, categories, or even individual suppliers. This means smarter segmentation, more relevant insights, and stronger commercial outcomes.
Another key shift is the growing ability to connect macro events, such as geopolitical shocks or regulatory changes, with micro actions inside the business. AI can help procurement teams identify these signals earlier, respond faster, and still align with long-term goals such as cost efficiency or sustainability.
“It’s about balancing your fire-fighting reactions to market events with your long term goals and strategy,” says Dhawan. “Procurement needs visibility and flexibility at the same time.”
Beroe is already moving in this direction. Alongside its growing AI capabilities, the company is refining how it delivers intelligence, building agents and recommendation layers. These not only inform decisions, but also help teams take action on them. Whether that means automating routine negotiations or proactively flagging supply risks, Beroe is evolving to meet the needs of a procurement function that’s more dynamic than ever.
As Dhawan points out, the goal isn’t to overwhelm teams with more tools, it’s to make their lives easier. “It’s about reducing complexity and giving procurement professionals confidence in what to do next,” she concludes.
For many procurement leaders, AI still feels like a long-term ambition. But the solutions are already here, and through companies like Beroe, they’re already in use. The challenge now is not whether AI can deliver value. It’s whether teams are ready to adopt the mindset and cultural shift that will allow them to unlock that value.
Why businesses should prepare themselves for AI by not getting lost in the whirlwind of hype and focusing only on what works for their needs.
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With AI being the topic of conversation for procurement professionals right now, it’s easy to get lost in the maze of conflicting information. Vroozi is a procure-to-pay platform powered by robust AI capabilities to deliver meaningful use cases. CEO and Co-Founder, Shaz Khan, takes approaching AI the right way very seriously.
For Vroozi, the use of AI is a two-sided coin. It’s an organisation that talks about AI both in production and consumption. AI is a tool that has been a game-changer, because it has enabled Vroozi’s software and technology engineers to be able to rapidly prototype and develop code. And that code is beneficial for creating feature sets and capabilities that the company wants to introduce to the market.
“Similarly, we take steps to look at how a customer interacts with our software for the first time,” Khan explains. “The implementation process is also ripe for consuming and producing great results with AI. Imagine you go through some type of interview wizard where you prompt the system based on your region and industry. The system will self-configure according to your business unit. This is real intelligence that understands your business at a different level, as well as the competitive landscape, and brings in best practices to deliver incredible results.”
Getting the approach right
Having said that, Khan freely admits that we’re in the early innings of AI adoption. For him, leaders should adopt a multi-pronged approach to implement AI. The first move is to assemble a team. “One key area with AI is that a lot of companies are relying on outside experts that don’t know the business and the goals that they’re trying to achieve,” he explains.
“You should invest in your own people before you invite outside parties in. Bring that education and assemble a use case, before assessing the problems you’re trying to solve and determining whether AI is a good tool set or capability to solve the problem. If these things match up, execute the game plan, bring in the right technologies and the right expertise, and only then bring AI capabilities into your workforce.”
The challenges
With this being the “early innings”, there are also barriers and challenges. The main issue, from Khan’s perspective, is security. “There’s a trust aspect that has to be looked at,” he explains. “There’s also an ethics aspect. Are you delivering the right results? And how much autonomy are you giving AI and its agents to go out and deliver those results for you without any human interaction? I think the companies that get it right will strike a balance between the trifecta of automation, really great AI technologies, and a balance of human interaction to create an overall output.”
There’s also the question of data. If the data isn’t clean, output will be compromised and lead to poor results. We haven’t seen the worst of what can happen, Khan believes, and AI has the potential to create scenarios that are hard to recover from, if used poorly. “We need to prepare ourselves now to prevent those types of potential calamities from happening,” says Khan. Which is the entire point of DPW: for procurement and technology leaders to educate and learn about best AI practice.
This allows people to cut through the, as Khan puts it, “hysteria” around AI that can cause problems for businesses. They’re rushing to solve problems, and while leveraging AI can be a component of a complete holistic toolkit, it can’t be the only answer. “A lot of companies today still struggle with getting their businesses off spreadsheets,” he states. “AI should be an equaliser and enabler to get it right.”
Structuring unstructured data
For Khan, in order to ready themselves for AI, procurement professionals and practitioners need to be absolutely committed to data management and governance. “What companies often forget is that much of today’s data is unstructured. It’s not neatly stored in databases – it might be a chat, an image of a spec sheet, or a contract never digitised. This unstructured data often can’t be used by AI models today, so companies risk only addressing a small part of the challenge. Data governance has to be an ongoing exercise.”
Having said that, Khan is keen to differentiate between clean data and perfect data. In fact, many procurement professionals we spoke to at DPW New York 2025 said the same. The message is: don’t wait around for everything to be perfect, or you’ll never start.
“Good enough data is just fine,” Khan says. “But if you’re going to continue to feed your AI engines and algorithms bad data, your outputs will be compromised. Companies need to have data governance strategies and upfront policies in place so that they can manage this, independent of the people that offer them.”
AI creating a complete picture
While treading carefully is important, Khan is equally keen to extoll the many virtues of AI for procurement professionals. There are many incredible use cases already, and AI tool sets and algorithms can effectively interrogate a company’s data and give them the answers they require. AI enables these users to have a complete picture of their buying cycle, and allows them to get additional information for where they can pivot.
“This is where the true power of agentic AI will come into play,” says Khan. “When you can fully trust the system inputs, AI will be able to orchestrate those processes autonomously, and present that information to an end user for final decision.”
Khan is very excited about what Vroozi is doing within its own AI layer. The business looks at AI and intelligence as a pervasive thread across its entire tech stack. Every aspect of its platform has some kind of AI enablement, although it’s not an AI-first company.
“We follow three distinct areas where we are thriving on the AI front,” says Khan. “First is intelligent document processing. Can we take structured and unstructured data such as contracts, quotes, work orders, and invoices, and populate them automatically onto a screen without any human touch? Processing invoices might require an army of people typing in data, and they might not capture it all. But an AI toolset can take millions of records and process them simultaneously. That’s the power of AI.”
The power of hyper-personalisation
The second area is what Vroozi calls hyper-personalisation, where it intensely personalises the platform to meet a company’s preferences and needs. It’s about how AI can find trends and not only predict the user’s needs, but also help take the next steps. This includes finding suppliers and ordering things that are needed, so that workflows aren’t disrupted.
“Then we also have what we call the push economy,” says Khan. “AI’s power is in pushing and giving people head starts. So when you talk about AI algorithms and look at analytics, it’s about how AI can present to companies in the procurement space when they need to lock in favourable pricing on products and services, and predict when you are seeing potential fraud scenarios based on trends and patterns. You need a lot of data for those AI models to train on, which is why I say we’re in the early innings. It takes time, but it’s incredibly powerful when you get to that point.”
The benefits ahead
At such an exciting time for procurement, 2025 and 2026 look bright for leaders in this space. Not only procurement, but also supply chain and FinTech, are set to benefit from what AI can do with data.
“There’s going to be a focus on how to capture and harness data, and feed it into AI in a way that produces results,” says Khan. “What we’ll see in the next two years is that AI has now learned from the data that’s been fed into it. You’re going to see higher-quality results and better outcomes. Again, I would caution companies to define the problem first. Then determine if AI is an absolute enabler and game changer. We believe AI can be an influencer and supercharger in terms of productivity. However, there needs to be specific use cases that make sense for corporations.
“In 2025 and beyond, you’re going to see great technologies embedded into organisations that really work.”
DPW is set to hit New York for the second year in a row, bigger and better than in 2024, and with an extensive list of experts set to speak.
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After the success of last year’s DPW NYC Summit, Digital Procurement World is making the event bigger and even better for 2025. DPW New York 2025 will take place at the extremely stylish ZeroSpace Brooklyn on the 11th and 12th of June. The theme this year is ‘Put AI to work’, focusing on the practical applications of artificial intelligence, and the opportunities for innovation across procurement.
The speakers have not yet been finalised and more may be added, but the event will include:
Brian Solis, Head of Global Innovation, ServiceNow
Jennifer Moceri, CPO, Google
Al Williams, CPO, Invesco
Eva Choe, CPO, The Chlorox Company
Kat Devlin, Head of Procure-to-Pay Operations and Travel & Expense, OpenAI
Oliver Gall, CPO, Prudential Financial
Maria Jesús Saénz, Director Digital Supply Chain Transformation Lab, MIT
Victor Miller, Chief Compliance Officer, Honeywell
Adam Brown, Global Director Procurement Technology Platform, Maersk
Mitchell Toomey, VP Sustainability & Responsible Care, American Chemistry Council
Stefanie Fink, Head of Global Digital Procurement, Kraft Heinz
Carlos Hernandez, Head of Procurement Excellence & Framework, Sanofi
Rosalia Snyder, Director Source-to-Pay, Microsoft
DPW New York is set to be a hub of inspiration and insight, with a broad range of figures sharing their knowledge and experiences with guests. After developing the concept of DPW in 2019, Founder Matthias Gutzmann’s event has grown into something that entices procurement professionals from all over the world. 2024 saw the DPW team putting on an intimate, invite-only New York event. This year, DPW is scaling up – and we at CPOstrategy to be there on the ground floor.
We caught up with Shachi Rai Gupta from ORO Labs to discuss the importance of orchestration in procurement.
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Simplifying procurement in smart ways is the ultimate goal for ORO Labs. Utilising the best of AI, ORO Labs aims to implement procurement orchestration across sectors, creating an experience that is simultaneously automated, augmented, and humanised.
Shachi Rai Gupta is VP Strategy at ORO Labs, with a wealth of transformation and technology experience behind her. Rai Gupta’s sharp eye on procurement has allowed her to witness the rise and fall of various trends, and understand what the sector needs as it – along with technology – evolves.
We caught up with Rai Gupta at the DPW NYC Summit back in June, a special North American version of the event. Procurement trends, especially AI and orchestration, were very much the theme of the day, prompting lively conversations amongst some of the world’s most influential procurement leaders.
Procurement as a net positive experience generator
For Rai Gupta, the trends right now are guided by the fact that procurement has more of a strategic and evolved role than ever, giving the function the opportunity to have a great impact on the enterprise bottom-line and the environment and community at large
“Procurement is morphing into a function where one of its biggest responsibilities is to be a net positive experience generator,” she explains.
“Procurement really is a service function for the whole business stakeholders. We, as procurement professionals, need to see things through the lens of the business. This includes what issues the business is trying to solve, and meeting the business where it’s at for good collaboration.
“It’s also important to make this experience as easy as possible, rather than cumbersome and time intensive. That needs to be catered and customised to the individual business segments.”
Prioritising the planet
Another area Rai Gupta is seeing talked about a lot is sustainability. This topic has, for some, been sidelined a little in favour of advanced technology. But it’s just as important as it’s always been, and it’s vital to keep the discussion alive – especially in procurement.
“More and more, companies are realising the impact they’re having on the environment,” Rai Gupta explains. “It’s an increasing priority on all our agendas. The technology is still nascent in that space, in the sense that there aren’t good ways to do benchmarking or tracking. That’s going to be an interesting space to watch out for.”
The next generation
Another hot topic of the DPW NYC Summit was the talent shortage. We at CPOstrategy discuss this topic a lot with procurement professionals, and there’s no one answer for fixing the issue.
“There’s a dearth of good digital talent,” Rai Gupta states. “The skillset you need today in procurement is very different from what we’ve had before. To be able to leverage that, to really make use of the procurement teams you have and the operational model you want, it’s a different challenge. The structure of your team is more important than ever.
“While that shortage is there, when you do have the right people in place in procurement, that’s where the department shines,” Rai Gupta adds. “That’s where procurement becomes a group of trusted advisors for the business, providing proactive opportunities. We wear a lot of hats in procurement, and we’re stepping up to a new level of evolution.”
Advanced tech for good
And, of course, AI and orchestration are terms on everyone’s lips right now – procurement included. AI is, in Rai Gupta’s words, “a solver”. Many of the blockages and challenges procurement is experiencing as it evolves can be solved, or at least aided, by AI and orchestration. “There’s so much tech out there,” Rai Gupta states. “AI is one such possibility. Every segment of procurement comes with its own risks and requires its own expertise and tool sets.
“To manage that whole ecosystem is where that orchestration comes in. There’s a real beauty in this because it’s collaborative. It makes the whole bigger than its parts.”
Shelley Salomon, VP of Global Business, Amazon Business, discusses her company’s commitment to fostering gender diversity in procurement.
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Procurement’s gender imbalance isn’t new.
Traditionally, the function was regarded as a male-dominated profession. But change is afoot, in more ways than one. While a digital transformation amidst technological innovation is well-publicised, another evolution is underway within the workforce.
Gender diversity has become an important component of many company strategies globally. While progress to encourage more women into procurement has already started. There still remains an imbalance, particularly among those holding leadership positions. With current statistics suggesting around one in four leadership positions are held by women, there is still room for improvement.
So, is progress happening quickly enough? Shelley Salomon, VP of Global Business at Amazon Business, discusses her organisation’s commitment to fostering gender diversity and how women can reach parity in procurement.
In your opinion, where is procurement today in terms of women’s representation in 2024?
Shelley Salomon: “Women’s representation in procurement has seen progress these past few years, but there remains room for further improvement. Gartner’s data shows that women comprise 41% of the supply chain workforce. It’s encouraging to see greater gender diversity within the industry.
“While these statistics are encouraging, they also highlight ongoing challenges. Particularly at the leadership level. Only 25% of leadership roles are held by women. This disparity underscores the need for sustained efforts to promote gender diversity and support women’s ascension to senior positions within procurement.
“My perspective on this trend is one of cautious optimism. The progress we see is promising, reflecting a growing recognition of women’s unique contributions to procurement roles. Diverse perspectives and gender equity are vital for effective decision-making and problem-solving. Additionally, multiple credible studies show that companies with the greatest gender balance in the C-suite are likelier to achieve above average financial results. However, much work must be done to ensure these advancements translate into lasting change.”
While progress to encourage more women into the workforce seems to be underway, there is still a major disparity in the number of women leaders in procurement. What is the best way to go about rectifying this?
Shelley Salomon: “I believe there’s a significant opportunity to welcome more women into procurement leadership roles. By establishing robust mentorship and sponsorship programmes, organisations can provide invaluable guidance, support, and networking opportunities. Thus empowering women to thrive in their careers and gain visibility within the organisation. Investing in inclusive leadership development programmes is essential. These initiatives focus on building inclusive skills and readiness for leadership roles, continuing to foster a more inclusive and dynamic workforce.
“In my opinion, implementing inclusive hiring practices that actively promote gender diversity, such as using diverse hiring panels and conducting blind recruitment processes, is essential to minimising biases.
“Lastly, setting clear, measurable goals for increasing the number of women procurement leaders and regularly reporting on progress to hold leadership teams accountable can drive meaningful change. By taking these proactive steps, organisations can create a more equitable environment that supports the advancement of women into leadership roles within procurement.”
Sagi Eliyahu, Co-Founder and CEO at Tonkean and Alejandro Fernandez, Head of Global Procurement at Semrush, discuss the power of intake orchestration and procurement’s rise to the top of the agenda in the c-suite.
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In a world with almost endless possibilities, why waste time on manual or outdated processes?
Technology is an enabler in everyday and business life. It is there as a vehicle of change and a weapon of efficiency. When used correctly, AI can help people focus on higher-value and more fulfilling work – which is what an entire generation of people crave today. The problem is, technology is not leveraged as efficiently or as strategically as it could be today — especially in enterprise back-office operations, like procurement.
This is where Tonkean comes in. Tonkean is a first-of-its-kind intake orchestration platform. Powered by AI, Tonkean helps enterprise internal service teams like procurement and legal create process experiences that transform how businesses operate. In part by changing how internal teams leverage smart technology to empower the employees they serve to do better, higher value work.
Process orchestration
Process orchestration refers to the strategy — enabled by process orchestration platforms — of coordinating automated business processes across teams and existing, integrated systems. These processes can facilitate all procurement-related activities. Importantly, they can also wrap around an organisation’s existing systems and accommodate employees’ many different working preferences and styles.
Instead of simply adding to an organisation’s existing tech stack, process orchestration allows companies to use their existing mix of people, data, and tech better together. The true promise of process orchestration is to finally put internal shared service teams like procurement in charge of the tools they deploy.
This goes a long way towards solving one of the enterprise’s most vexing operational challenges: the inefficiency of over-complexity born of too much new technology. It also allows procurement teams to truly make their technology work for them and the employees they serve. As opposed to making people work for technology. Process orchestration breaks down the silos that typically separate working environments. No longer do stakeholders have to log in to an ERP or P2P platform to submit or approve intake requests. The technology will meet them wherever they are.
All in one place
Enter Sagi Eliyahu, Co-Founder and CEO at Tonkean. He explains that over the past few years, Tonkean has focused more on procurement specifically. In part because the challenges the procurement function faces day-in and day-out represent perfect orchestration use-cases. Procurement processes touch so many different teams, tools, and departments. Poor procurement performance can often be traced back to the fact that all these moving parts otherwise aren’t able to communicate easily with each other. Tonkean was built to address exactly that problem.
“We saw that our procurement customers were having great success with it, but the market started to heat up as well,” he reveals. “It made sense because it happened for us on the procurement and legal side. They are teams that are very central to an organisation and their process is never just siloed into their tools and department. You need that idea of orchestrating all the different moving parts for it to have high adoption, faster cycles, better quality and compliance.”
Tonkean and Semrush partnership
One of Tonkean’s biggest customers is Semrush. Semrush, in turn, understands the potential of orchestration in procurement well. As a result of Tonkean’s intake orchestration capabilities, they’ve almost halved cycle times for intake requests — from 19 days to just 10. Alejandro Fernandez, Head of Global Procurement at Semrush, works closely with Eliyahu and Tonkean and couldn’t be happier about the collaboration…
Our cover story this month… Marriott International Inc: A more sustainable supply chain With science-based targets approved, Marriott is accelerating…
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Our cover story this month…
Marriott International Inc: A more sustainable supply chain
With science-based targets approved, Marriott is accelerating work to help make its supply chain more sustainable. We speak to Stéphane Masson, Senior Vice President, Procurement, Marriott International, Inc. – for our exclusive cover story this month – to find out how…
“Like many global companies, Marriott recognises that serving our world helps the communities where we operate and is also good business,” Masson tells us. “This Earth Day, we announced the approval of our near-and-long-term science-based emissions reduction targets by the Science-Based Targets initiative (SBTi), with a goal to reach net-zero greenhouse gas (GHG) emissions by no later than 2050. Approval of these targets is bringing heightened focus on our work to embed sustainability in our operations.
Specifically, the company has committed to reduce absolute scope 1 and 2 GHG emissions 46.2% by 2030 from a 2019 base year. Marriott also commits to reduce absolute scope 3 GHG emissions from fuel and energy-related activities, waste generated in operations, employee commuting, and franchises 27.5% within the same timeframe.
Importantly for our team and the suppliers we work with across the globe, Marriott’s targets include 22% of our suppliers by emissions—covering purchased goods and services, capital goods, and upstream transportation and distribution—which will have science-based targets by 2028.
In the longer term, Marriott also aims to reduce absolute scope 1 and 2 GHG emissions 90% by 2050 from a 2019 base year and reduce absolute scope 3 GHG emissions 90% within the same timeframe.
Our Global Procurement organisation plays an important role in setting up Marriott as we work to achieve the targets within this timeline. And it will require an evolution in how we engage Marriott associates, our suppliers, and other members of the industry.”
Grupo Modelo: Procurement and sustainability in action!
We speak to Soqui Calderon, Regional Director of Sustainability for Grupo Modelo and the Middle Americas Zone, to see how the beverage giant is tackling sustainability from a procurement perspective…
Grupo Modelo is a giant. A leader in the production, distribution and sale of beer in Mexico, Grupo Modelo is part of the Middle America Region (of the AB InBev Group) and boasts 17 national brands, among which are Corona Extra, the most valuable brand in Latin America, as well as Modelo Especial, Victoria, Pacífico and Negra Modelo. The company also exports eight brands and has a presence in more than 180 countries while operating 11 brewing plants in Mexico.
Through more than nine decades, Grupo Modelo has invested and grown within – and with – Mexico, generating more than 30,000 direct jobs in its breweries and vertical operations, located throughout the country.
Grupo Modelo, like many forward-thinking companies, is currently focused on a drive towards establishing a truly sustainable business. This endeavour is best exemplified in the Middle Americas Zone (MAZ), where sustainability efforts have been led by for the past five years by Soqui Calderon Aranibar, Regional Sustainability and ESG Director. Ambitious targets have been established for the region, but some remarkable achievements have already been made. As Calderon says: “For our team, sustainability is not just part of our business, it IS our business.”
SDI International’s Brendan Curran and Joaquín Morales discuss empowering procurement innovation, the importance of effective tail spend management, and how its Master Vendor programme transforms the function
In a world of greater complexity and risk, technology adoption and digitalisation, and an ever-evolving compliance and regulatory environment, procurement teams still grapple with a perennial challenge: cost reduction. Which is why tail spend management – often overlooked and unmanaged while procurement focuses its attention on strategic, high-spend categories – is so important. Indeed, for many organisations, taking effective control of costly, one-off buys and high-volume, low-value purchases involving numerous suppliers can deliver as much as 5% to 10% of cost savings, according to Boston Consulting Group.
But tail spend, by its nature, is complicated. It requires significant focus to effectively manage high volumes of data, often has a perceived lack of strategic importance within both procurement and the wider organisation, lacks visibility, involves vast numbers of transactions, many product categories, and a largely anonymous supplier base, and can bring potential compliance risks because of poor onboarding processes or inconsistent terms and conditions.
Tackling the problem can be daunting for procurement teams. But, according to SDI International, it doesn’t have to be. The organisation, one of the world’s largest diversity and woman-owned procurement outsourcing and technology providers, delivers industry-leading holistic tail management solutions based on a successful formula: simplify, digitalise, innovate. Its Master Vendor programme provides procurement teams looking to tackle their tail with a one-stop solution for tail spend that leverages the latest and most efficient technologies to handle supplier onboarding and on-time payment, and manage the entire tail supply chain, stakeholder servicing, and escalations. The result is a procurement department better able to drive cost saving, efficiencies, and more strategic outcomes.
