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Balancing Technology and Human Expertise: Insights from the World Procurement Congress

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Balancing Technology and Human Expertise: Insights from the World Procurement Congress

Oliver Esch

June 12, 2025

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The recent World Procurement Congress brought together procurement leaders from across the globe, from Australia to North America, representing diverse industries and perspectives. As a participant, I had the opportunity to engage with CPOs and senior management, gaining valuable insights into current industry trends and organizational priorities. Here are my key takeaways from the event:

The Human Element Remains Essential in an AI-Driven World

While artificial intelligence dominated many discussions, there was a consensus that human skills remain irreplaceable. CPOs and senior management recognize that even the most sophisticated AI tools cannot be used effectively without the right people and skill sets.

“Human contracts are still done between humans,” was a sentiment echoed throughout the event. Despite technological advances, procurement organizations increasingly invest in finding employees with the right mindset and analytical capabilities to achieve their business objectives.

My learning is that employees are key for CPOs and senior management. While they recognize the importance of AI, they also know that this intelligence cannot be used properly without humans and without their employees. That is why investing in employees is more important—finding the right people with the right mindset to achieve targets.

The Evolving Skill Set of Procurement Professionals

Procurement skills have undergone a significant transformation in recent years. As procurement spending becomes more crucial to organizational success, companies are emphasizing the buying process more.

The analytical requirements have evolved dramatically. Ten years ago, buyers might simply compare quotes, but today’s procurement professionals must analyze:

Extensive data sets

Market volatility factors

Benchmarking information

Supplier performance metrics

Emerging trends

This shift has created demand for more analytical procurement professionals who can manage fewer, more trusted supplier relationships rather than handling numerous vendor interactions.

The skills of procurement and buyers are becoming increasingly different. Companies are caring much more about procurement and buying processes as spending becomes more crucial. Analytical skills are now more important than ever. With massive datasets behind decisions and external factors like volatility, benchmarking trends, supplier performance, and more, the procurement profession now requires a different skill set—more analytical, with deeper interactions with a limited number of trusted suppliers.

Partnership Over Pure Cost-Cutting

One of the most significant shifts in procurement strategy has been the move from pure cost-cutting to building flexible, resilient partnerships. This trend emerged mainly as a lesson from the COVID pandemic, when organizations discovered that strong supplier relationships were critical during capacity constraints.

Companies are more willing to invest in long-term partnerships built on trust and reliability. When capacity is limited, these partnerships prove invaluable—trusted suppliers will work harder to find solutions for valued partners. In contrast, transactional relationships often leave buyers without support during challenging market conditions.

I think partnership is a key element—a lesson from the last three or four years, especially during COVID. Openness to potentially invest a bit more in long-term partnerships with trust and reliability is more valued now than before. With good partnerships during times when capacity was limited, you still had an opportunity to manage your transportation. That’s why partnership has become a key element alongside transit time, supplier performance, and cost in identifying the right partners.

Technology as an Enabler of Better Decision-Making

The technology discussions at the Congress focused primarily on improving data visibility, visualization, and understanding. Procurement leaders are looking for tools that:

Simplify complex data

Provide visual representations of information

Enable quick access to insights (including through AI interfaces)

Help identify optimal solutions within short timeframes

The emphasis is on using technology to deliver immediate, actionable insights that procurement professionals can use in negotiations and strategic planning.

One of the key elements is bringing more visibility to different data, visualizing and simplifying data to help people understand what they’re using. While AI is essential, allowing you to talk to your laptop or phone to get results, the most crucial part is data and data visualization to get an engine that demonstrates the best solution quickly. It’s mainly about data, data visualization, and understanding different data to get immediate insights and understand which direction buyers and procurement should negotiate rates.

Sustainability Continues to Gain Momentum

Sustainability remains crucial for procurement leaders, though it is not as prominently featured as other topics. Organizations increasingly focus on reducing CO2 emissions and incorporating environmental factors into their procurement decisions.

Looking Ahead: Stability in Procurement Priorities

Despite constant market changes, the core priorities for procurement organizations have remained relatively stable. CPOs from major companies like Heineken and Diageo continue to focus on three key areas:

Cost management

Carbon reduction

Partnership development

This consistency provides procurement technology providers with a clear direction and ensures that solution development aligns with long-term market needs.

The procurement world isn’t so volatile that this year’s themes differ dramatically from last year’s. That’s an advantage—we know how to develop our products to meet market interest. Cost, carbon, and partnership are the key areas that CPOs are focusing on.

5 Key Things I Learned at the World Procurement Congress

Human expertise remains irreplaceable: Even with AI advancements, human analytical skills and relationship management are more crucial than ever.

Procurement is increasingly strategic: Companies view procurement as a cost center and a critical strategic function with significant impact.

Partnership trumps pure cost-cutting: Organizations that invest in trusted relationships with suppliers gain flexibility and resilience during market disruptions.

Data visualization is critical: Simplifying and visualizing complex data enables better and faster decision-making.

Employee investment pays dividends: Finding and developing talent with the right analytical mindset and skills is becoming a top priority for CPOs.

Frequently Asked Questions from the Event

During the Congress, several questions repeatedly emerged in discussions:

Q: How can we effectively balance AI implementation with human skills?
A: Focus on developing your team’s analytical capabilities using AI to handle data processing and pattern recognition. The most successful organizations view AI as an enhancement to human decision-making, not a replacement.

Q: What skills should procurement teams prioritize developing?
A: Analytical capabilities, data interpretation, relationship management, and strategic thinking are becoming essential. A technical understanding of supply chain systems is also increasingly valuable.

Q: How can we build resilient partnerships without sacrificing cost efficiency?
A: Look beyond immediate price points to total value, including reliability during disruptions. The cost of failure during capacity constraints often far exceeds modest premiums paid for trustworthy partnerships.

Q: What technologies are delivering the most value in procurement today?
A: Tools that enhance data visibility, provide benchmarking capabilities, and offer intuitive visualization of complex information are proving most valuable for strategic decision-making.

Q: How are leading organizations incorporating sustainability into procurement?
A: They’re making sustainability a core evaluation criterion alongside cost and performance, with increasing focus on measurable carbon reduction throughout the supply chain.

Final Thoughts

The World Procurement Congress reinforced that while technology adoption accelerates across the industry, the fundamentals of good procurement practice remain centered on human expertise, strong partnerships, and data-driven decision-making. Organizations that can balance technological innovation with investment in people and relationships will be best positioned to navigate the complexities of today’s supply chains.

Freightos is committed to supporting this balance by delivering solutions that enhance human capability through automation, visibility, and insight. Our platform combines data benchmarking, rate management, booking capabilities, and visibility tools in a single interface, designed not to replace procurement professionals but to empower them.

As we look toward the next year of transformation in logistics and sourcing, I invite you to reflect on how your organization is balancing technology innovation with human expertise.

Oliver Esch

Oliver brings 15+ years of logistics and supply chain expertise to the table. Before joining Freightos Procure (formerly SHIPSTA), he worked as a consultant, uncovering optimization potential in global supply chain operations for industry leaders. Now, he’s focused on delivering cutting-edge solutions to Fortune 1000 companies, helping them streamline both strategic and operational processes for maximum value.

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Walmart AI Pricing Patents Signal Shift Toward Real-Time Retail Execution

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Walmart Ai Pricing Patents Signal Shift Toward Real Time Retail Execution

Walmart’s new patents and digital shelf rollout point to a more tightly integrated model linking demand forecasting, pricing, and store-level execution.

Walmart has secured two patents related to automated pricing and demand forecasting, drawing attention to how large retailers are evolving their pricing and execution capabilities.

One patent, System and Method for Dynamically Updating Prices on an E-Commerce Platform, covers a system that can dynamically update online prices based on changing market conditions. A second, Walmart Pricing and Demand Forecasting Patent Classification, relates to demand forecasting technology designed to estimate what customers will buy and recommend pricing accordingly. At the same time, Walmart is expanding digital shelf labels across its U.S. stores, replacing paper labels with centrally managed electronic displays.

Individually, none of these elements are new. Retailers have long used forecasting models, pricing tools, and store execution processes. What is notable is the combination.

Walmart now has three capabilities aligned:

Demand forecasting tied to predictive models

Price recommendation based on that demand

Store-level infrastructure capable of rapid execution

That combination reduces the operational friction historically associated with pricing in physical retail.

Pricing Moves Closer to Execution

Traditional store pricing changes required coordination across multiple steps: analysis, approval, printing, distribution, and manual shelf updates. That process introduced delay and inconsistency.

Digital shelf labels materially change that constraint. Prices can be updated centrally and executed across stores with significantly less manual intervention.

This does not change the underlying logic of pricing decisions. Retailers have always adjusted prices based on demand, competition, and margin targets. What changes is the speed and consistency of execution.

As a result, pricing moves closer to real-time operational control.

Implications for Supply Chain Operations

Pricing is not an isolated commercial function. It directly influences demand patterns, inventory flow, replenishment timing, and markdown activity.

When pricing becomes faster and more responsive, those linkages tighten.

Three implications are clear:

1. Increased Execution Speed
Retailers can align pricing decisions more quickly with current demand conditions, reducing lag between signal and action.

2. Stronger Dependence on Forecast Accuracy
When pricing recommendations are driven by predictive models, the quality of demand sensing becomes more consequential. Forecast errors can propagate more quickly into sales and inventory outcomes.

3. Closer Coupling of Merchandising and Supply Chain
Pricing decisions influence demand. Demand impacts inventory, replenishment, and store execution. Faster pricing cycles compress the distance between these functions.

Centralization and Control

Walmart has positioned its digital shelf label rollout as an efficiency and accuracy initiative. Centralized price management improves consistency between systems and store execution while reducing labor tied to manual updates.

That positioning aligns with the operational realities of large-scale retail. At Walmart’s footprint, even small improvements in execution efficiency translate into material cost and accuracy gains.

At the same time, the shift toward algorithm-supported pricing introduces standard enterprise control requirements. Organizations need clear governance around how pricing recommendations are generated, reviewed, and executed, particularly as systems become more automated.

A Broader Technology Pattern

Walmart’s patents are best understood as part of a broader shift in supply chain and retail technology.

AI and advanced analytics are moving closer to operational decision points. Forecasting models are no longer confined to planning environments; they are increasingly connected to systems that can act.

In this case, that connection spans:

Demand sensing

Price recommendation

Store-level execution

The result is a more tightly integrated operating model in which commercial decisions and supply chain execution are linked through software.

What This Signals

The significance of Walmart’s move is not tied to public debate over surge pricing scenarios. The underlying development is structural.

Retailers now have the ability to connect demand forecasting, pricing logic, and execution infrastructure into a faster decision loop.

For supply chain leaders, that represents a clear direction:

Execution is becoming more digital, more centralized, and more tightly coupled to predictive models.

The companies that benefit will be those that can align forecasting, pricing, and operational execution within a controlled, coordinated system.

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Supply Chain and Logistics News March 16th-19th 2026

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Supply Chain And Logistics News March 16th 19th 2026

This week’s installment of Supply Chain and Logistics news includes stories about record increases in oil prices, Rivian’s autonomous taxis, and much more. Firstly, the Trump administration has issued a 60-day waiver of the Jones Act, a century-old regulation that requires goods moved between US ports to be transported by US-built vessels, etc. Additionally, this week Uber & Rivian announced a partnership for Rivian to build 50,000 autonomous robotaxis by 2031 with over a billion dollars in investment from Uber. Schneider Electric and EcoVadis announced a partnership to target emissions in the health care sector. Lastly, DHL announces 10 warehousing sites to be used for data center manufacturing capacity, and Mind Robotics raises 100 million in series A funding.

Your Biggest Stories in Supply Chain and Logistics here:

Trump Administration Issues Pause on Century-old Maritime Law to Ease Oil Prices

The Trump administration has issued a 60-day waiver of the Jones Act. This century-old regulation typically requires goods moved between US ports to be carried on vessels that are US-built, US-owned, and US-crewed. However, with oil prices surging toward $100 a barrel due to escalating conflict in the Middle East, the suspension aims to ease logistics for vital commodities like oil, natural gas, and fertilizer. While the move is intended to lower costs at the pump and support farmers during the spring planting season, it has sparked a debate between those seeking immediate economic relief and domestic maritime unions concerned about the long-term impact on American shipping and labor.

Uber and Rivian Partner to Deploy up to 50,000 Fully Autonomous Robotaxis

Uber and Rivian have announced a massive strategic partnership that signals a major shift in the future of autonomous logistics and urban mobility. Under the terms of the deal, Uber is set to invest up to $1.25 billion in Rivian through 2031, a move specifically tied to the achievement of key autonomous performance milestones. The primary focus of this collaboration is the deployment of a specialized fleet of fully autonomous R2 robotaxis, with an initial order of 10,000 vehicles and an option to scale up to 50,000 units. From a supply chain perspective, this represents a significant commitment to vertical integration; Rivian is managing the end-to-end production of the vehicle, the compute stack, and the sensor suite, including its in-house RAP1 AI chips, while Uber provides the scaled platform for deployment. Commercial operations are slated to begin in San Francisco and Miami in 2028, eventually expanding to 25 cities globally by 2031.

Schneider Electric and EcoVadis Announce Partnership to Decarbonize Global Healthcare Supply Chains

Schneider Electric, a major player in the digital transformation of energy management and automation, and EcoVadis, a provider of business sustainability ratings, have announced a strategic partnership aimed at accelerating decarbonization within the healthcare industry. “Energize” is a collective initiative to engage pharmaceutical industry suppliers in climate action. The collaboration focuses on addressing Scope 3 emissions, those generated within a company’s value chain, which often represent the largest portion of a healthcare organization’s carbon footprint. By combining Schneider Electric’s expertise in energy procurement and sustainability consulting with EcoVadis’s supplier monitoring and rating platform, the partnership provides a structured pathway for pharmaceutical and medical device companies to transition their global suppliers toward renewable energy.

Mind Robotics, a Rivian spin-off, raises $500 million in Series A Funding

RJ Scaringe, CEO of Rivian, is positioning his new $2 billion spin-off, Mind Robotics, as a technological solution to the chronic shortage of manufacturing labor in the Western world. By developing a “foundation model” that acts as an industrial brain alongside specialized mechatronic bodies, the company aims to move beyond the rigid, fixed-motion plans of traditional robotics toward systems capable of human-like reasoning and adaptation. Scaringe emphasizes that while these machines must perform with human-level dexterity, they don’t necessarily need to be humanoid in form; instead, the focus is on creating a data-driven “flywheel” within Rivian’s own facilities to lower production costs and help domestic manufacturing remain globally competitive.

DHL Expands North American Logistics Infrastructure Amid Growing Global Demand for Data Center Logistics Services

DHL is significantly scaling its data center logistics (DCL) footprint in North America, announcing the addition of 10 dedicated sites totaling over seven million square feet of warehousing capacity. This expansion is a direct response to the explosive demand for AI-driven infrastructure and the specific needs of hyperscale and colocation data center operators. By offering specialized services like rack pre-configuration, white-glove handling of sensitive IT hardware, and warehouse-to-site transportation, DHL is positioning itself as an end-to-end partner in a sector where 85% of operators express a preference for a single logistics provider. This move not only addresses the logistical complexities of moving high-value components like GPUs and cooling systems across global borders but also underscores the critical role of integrated supply chains in maintaining the build speed of the digital backbone.

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How to Capitalize Quickly to Address Hyperconnected Industrial Demand

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How To Capitalize Quickly To Address Hyperconnected Industrial Demand

This first in a blog series offers a review of discussion that occurred during ARC Advisory Group’s 2026 Industry Leadership Forum. Specifically, it details a keynote conversation held with senior executives from Rolls-Royce, BTX Precision, and MxD.

The New Fabric of Demand: Modernizing Collaboration and Transparency for Real-Time Production

Industrial leaders have been talking about tearing down workflow and data silos for decades. Yet here we are again. For most, the reality is that most operations and supply chains today typically don’t indicate much progress. A few leaders have figured out how to use digital tools to scale and build pathways forward, a whopping 12.9% according to our latest data (yes, that’s sarcasm). However, even as they struggle to coordinate, orchestrate, and innovate across their operations and enterprise, much less tightly collaborate outside their four walls. In a digital world, this continued capability gap, the inability to closely link market signals to responsive production and external supply chains, is very quickly becoming a liability.

Recently, at the 30th Annual ARC Industry Leadership Forum in Orlando, I had the privilege of leading a keynote discussion entitled The New Fabric of Demand: Modernizing Collaboration and Transparency for Real-Time Production. As part of that, I moderated an excellent conversation that included Global Commodity Executive Greg Davidson of Rolls-Royce, CEO Berardino Baratta of MxD, and CRO Jamie Goettler of BTX Precision.

In this four-part series, we will explore that conversation fully, digging into how the “fabric of market demand” has fundamentally changed, and why structural modernization, both human and technological, is no longer just an option. It is an industrial imperative that will increasingly determine who wins in disrupted markets.

Why Legacy Workflow Will Actually Get Modernized

If we examine the present through the lens of the past, the fundamental laws of supply and demand haven’t really changed. What has changed is the hyperconnectivity of the world and our compressed time to both reward and volatility.

The hard truth is that legacy linear workflows simply do not work in hyperconnected, digitally-driven environments, which are non-linear by nature. As our industrial environments become more digital, they naturally open up countless new ways for how things can get done and how risk can enter the organization. As a result, disruption has shifted from a rare event to a fairly continuous and pervasive reality. In this new reality, responsiveness differentiates you from the competition, and lag time kills.

To survive and thrive in non-linear environments, tighter, integrated ecosystems are required, where silos are actively torn down or redesigned so that barriers to value can be continuously identified and quickly eliminated. At the core, this concept is unfolding around data access, contextualization, and sharing. It provides the urgency behind the need for building industrial data fabrics.

This rewiring certainly extends beyond operations and enterprise processes, enabling the entirety of the supply chain to be judged on its collective responsiveness to the market, all the way down to the individual company level. In this scenario, data can quickly point out laggards who limit value. As the orchestrators of these supply chains identify these limitations on value, they quickly break off and discard the connection and move on without these weak links.

Pillars of the New Fabric of Demand

To achieve necessary level of operational and supply chain responsiveness, the roles of every entity within an ecosystem must be rethought. In the subsequent three blogs of this series, we will take a deep dive into the three distinct pillars that make up this modern architecture, but I’ll begin by laying them out here:

The Market Signal is the catalyst of the entire ecosystem. It dictates the “what” and the “when,” defining what value, success and risk look like in real-time. In blog 2, I’ll explore how to move from reactive assumptions to proactively capturing the market signals that actually matter.
The Demand Architect is moving beyond traditional order-taking. The Demand Architect designs and orchestrates the ecosystem, aligning external partners as true extensions of the enterprise. In blog 3, I’ll discuss the structural agility required to lead this response, rather than just manage a process.
The Agile Partner is the engine of execution. The Agile Partner links supply chain dynamics directly to the shop floor, differentiating themselves through their responsiveness to the market signal. In the final blog in the series, I’ll tackle how data transparency and trust become technical requirements, not just buzzwords, without exposing mission-critical IP.

Building the Modern Industrial Enterprise

Legacy workflows cannot survive in a non-linear world. Industrial organizations must re-architect operations and ecosystems for real-time responsiveness and secure, transparent collaboration. To do so, they will need to:

Improve the measurement of responsiveness: Efficiency and margin-squeezing are important, but they aren’t game-changers. Your competitive edge now relies on how quickly you can adapt to market signals.
Embrace transparency over secrecy: Modern collaboration requires providing a contextualized “lens” into production status without compromising proprietary IP or cybersecurity. Industrial data fabrics are key.
As always, view technology as a tool, not an outcome: Industrial data fabrics are needed to break silos and AI to manage complexity and improve accuracy and speed of decisions. However, the age-old adage remains true. Just because you can apply AI to something doesn’t mean you should. It must be grounded in measurable Value on Investment (VOI), not just return.

The New Fabric of Demand Blog Series

This is the first in a series of four on The New Fabric of Demand: Modernizing Collaboration and Transparency for Real-Time Production. Over the coming days, I’ll publish a perspective from each of the three pillars of the new fabric of demand:

Pillar 1: The Market Signal
Pillar 2: The Demand Architect
Pillar 3: The Agile Partner

By Mike Guilfoyle, Vice President.

For more than two decades, Michael has assisted organizations, including numerous Fortune 500 companies, in identifying and capitalizing on growth opportunities and market disruption presented by the effects of digital economies, energy transition, and industrial sustainability on the energy, manufacturing, and technology industries.

The post How to Capitalize Quickly to Address Hyperconnected Industrial Demand appeared first on Logistics Viewpoints.

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