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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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Introducing the Supply Chain & Logistics Video Library: Expert Insights from ARC Advisory Group

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ARC ADVISORY GROUP | EXPERT VIDEO INSIGHTS

Supply chain technology is advancing rapidly. Understanding what matters, what works, and where to invest requires more than keeping up with the latest announcements.

Supply chain and logistics leaders face an increasingly complex technology landscape. Artificial intelligence, warehouse automation, cybersecurity, connected vehicles, digital twins, and new approaches to supply chain planning are changing how organizations manage operations, evaluate investments, and prepare for disruption.

Keeping pace with these developments requires more than product announcements and technology demonstrations. Decision-makers need informed perspectives that explain how emerging capabilities work, where they create operational value, and what organizations should consider before investing.

To support that need, Logistics Viewpoints is highlighting its
Supply Chain & Logistics Video Library: Expert Insights from ARC Advisory Group,
a resource designed to make analyst perspectives and industry discussions more accessible to supply chain professionals.

The objective is straightforward: help supply chain leaders translate rapidly evolving technologies into better-informed business and operational decisions.

Bringing Supply Chain Research to Video

For years, Logistics Viewpoints and ARC Advisory Group have provided research and commentary on transportation management, warehouse operations, supply chain planning, industrial automation, and enterprise technology.

Video adds another way to explore that research. Analyst discussions, technology briefings, and industry interviews can help executives examine important developments without having to begin with lengthy research reports or technical documentation.

The objective is not simply to explain what a technology does. It is to examine the business problems it addresses, the challenges associated with implementation, and the implications for supply chain performance.

Exploring the Technologies Reshaping Supply Chains

The video resources reflect several areas of increasing importance across logistics and supply chain management.

01. Artificial Intelligence and Decision Intelligence

Artificial intelligence is changing how organizations approach forecasting, inventory management, transportation planning, and operational exception management. As AI becomes more deeply integrated into enterprise systems, questions concerning governance, interoperability, data quality, and human oversight are becoming equally important.

02. Warehouse Automation and Connected Operations

Robotics, automated storage and retrieval systems, warehouse software, and increasingly interconnected execution technologies are reshaping distribution operations and fulfillment strategies. Understanding how these technologies integrate with existing systems is critical to evaluating their operational and financial impact.

03. Cybersecurity and Operational Resilience

Cybersecurity and operational resilience have become essential considerations as supply chain networks grow more digitally interconnected. The increasing dependence on cloud platforms, connected equipment, logistics partners, and shared operational data introduces new risks that organizations must understand and manage.

04. Sustainability, Transportation, and Digital Twins

Other important areas include sustainability, energy management, connected transportation, and digital twins. Each presents opportunities to improve operational performance while introducing questions about investment requirements, organizational readiness, and long-term value.

From Technology Awareness to Better Decisions

One of the persistent challenges facing supply chain executives is distinguishing technological possibility from operational practicality.

A promising application of AI may still depend on substantial improvements in data integration. A warehouse automation investment may require changes to facility design, workforce processes, and supporting software. A digital twin may provide sophisticated simulation capabilities but offer limited value without accurate, current operating data.

These considerations are central to ARC Advisory Group’s research approach: understanding technology in the context of the operations it is intended to improve.

For technology buyers, analyst video discussions can provide useful context during early research and supplier evaluation. For operations leaders, they offer perspectives on industry developments that may influence future strategy. Technology suppliers can also benefit from a broader understanding of the challenges and priorities facing their customers.

Extending the Logistics Viewpoints Research Experience

The video library complements the broader Logistics Viewpoints research offering, including technology analysis, market commentary, white papers, interviews, and ARC Advisory Group’s MarketMap research.

Different resources serve different purposes. Written research provides opportunities for detailed examination of technology markets and operational challenges. Video can make complex subjects more approachable, communicate key findings, and introduce questions that warrant further investigation.

Together, these formats help supply chain professionals move from general technology awareness toward more informed strategic and operational decisions.

Explore the Supply Chain & Logistics Video Library

The pace of supply chain technology development shows little sign of slowing. New capabilities continue to emerge, but their practical value depends on how well they address the operational challenges businesses actually face.

The Logistics Viewpoints video library provides another avenue for examining those developments through the perspective of industry analysts and subject-matter experts.

Explore Expert Supply Chain Insights

Discover perspectives from ARC Advisory Group on the technologies, trends, and strategic decisions shaping the future of logistics and supply chain management.


Explore the Video Library →

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Blue Yonder Release 2026.3 Introduces New AI-Driven Supply Chain Capabilities

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Blue Yonder has announced Release 2026.3, its latest product update, introducing advancements in supply chain intelligence, AI-driven decision-making, connected planning and execution, and coordination across trading partners.

The release focuses on AI that explains its reasoning and operates within governed guardrails, role-based workspaces, and a more unified supply chain operating model.

Orchestrator and Platform: One Place to See, Ask, Decide, and Act

Blue Yonder Orchestrator becomes a unified operating environment for supply chain work, with interactive briefings that allow users to ask questions of personalized Executive Summaries, updated navigation and mobile experiences, and a hands-free Voice-Only Mode.

Blue Yonder Mission Hub provides a self-service environment for provisioning, configuration, onboarding, migration, and observability, with contract-driven deployment automation. Service extensibility for warehousing allows customer-specific logic to run as platform services rather than customized code.

Cognitive Solutions for Planning: Faster, More Confident Plans

Retail planning enhancements include AI-assisted planogram design in Space Planning, a Forecasting Agent that explains forecasts, an audit trail for forecast overrides, and conversational scenario modeling in Merchandise Financial Planning.

Weekly labor forecasts now extend up to 52 weeks and incorporate weather data. Manufacturing planning adds validated forecasting models, scenario conflict management, dynamic supply constraints in Integrated Business Planning, and disruption simulation within scheduling workflows.

Cognitive Solutions for Orders and Returns: One Platform for Every Order and Return

Cognitive Order Management is now available as a unified platform supporting both B2C and B2B operations.

The solution includes a persona-driven console with more than 100 configurable cards, Fulfillment and Customer Service Agents that recommend and execute governed actions, and native B2B capabilities including Excel bulk uploads, supplier purchase order management, and bulk return merchandise authorization processing.

The platform is offered as a single SKU with modular add-ons. Returns management now operates on the Blue Yonder Platform, with expanded third-party drop-off options and brand-level routing and policy controls.

Cognitive Solutions for Execution: Smarter Operations from Warehouse to Road

Warehouse enhancements include a flexible integration layer connecting robotics and automation from multiple vendors, explainable multi-objective slotting recommendations, and a Warehouse Ops Agent that detects advance shipping notice discrepancies, flags perishables, and forecasts trailer shortages. An Allocation Shorts capability is also available in beta.

Transportation enhancements include a new award decision dashboard providing procurement visibility into spending and carrier concentration. MileMaker is now available alongside PC*MILER, while load-building improvements allow planners to adjust stacking orientations for the same SKU.

The Logistics Emission Calculator is also embedded into transportation and network decisions.

Blue Yonder Network and Services: Coordinated Action Beyond Go-Live

Blue Yonder Network continues evolving from a connectivity layer toward intelligent orchestration, introducing multi-party orchestration, Network Intelligence Agents that recommend and automate next steps, and expanded in-transit risk visibility across transportation lanes.

Blue Yonder is also expanding Surround Services, with AI, machine learning, and data science expertise available to customers to support continuous model optimization.

The release reflects Blue Yonder’s continued investment in connecting supply chain planning, execution, and trading partner collaboration through AI-enabled capabilities.

For additional information, visit the Blue Yonder Release 2026.3 announcement.

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AI Is Reshaping the TMS Market. Deployment Will Determine the Winners.

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The transportation management systems (TMS) market is entering a period of significant change as artificial intelligence moves beyond analytical assistance toward more automated execution. Suppliers are introducing AI agents, intelligent freight procurement, automated exception management, and capabilities that connect transportation planning with operational decisions. Yet a distinction is emerging between the pace of innovation and the rate at which transportation organizations can deploy these capabilities effectively.

The numbers provide perspective. Descartes’ 2026 Transportation Management Benchmark Survey, based on responses from 300 senior transportation decision-makers in the United States and Canada, found that just 19% of shippers and 15% of logistics service providers (LSPs) reported using AI at scale. At the same time, 82% of shippers expected to increase transportation management IT spending over the next two years. The contrast suggests substantial investment appetite but considerable work still required to convert innovation into operating performance.

For transportation executives, the question is no longer simply whether AI can help with planning, carrier management, freight audit, or exception resolution. It is how these capabilities can be incorporated into existing operations while preserving reliability, controlling costs, and delivering measurable returns. For software suppliers, implementation economics may become as important as technological sophistication.

A Market Pursuing Different Paths to Intelligent Transportation

Recent announcements illustrate that AI-enabled transportation management is not developing around a single architectural model. Established vendors are extending existing applications, while others are consolidating platforms or placing transportation intelligence within broader enterprise and logistics networks.

At its September 2026 Insight conference, Trimble announced agent-ready modernization of its TMW.Suite, TruckMate, Innovative, and Fuel Dispatch carrier TMS platforms. Browser-accessible interfaces and cloud-hosted architectures preserve underlying operational logic while making room for AI-enabled workflows. Trimble Arc Agent addresses activities including order entry, contract intake, and freight RFQ preparation, with final approval retained by transportation personnel.

The significance lies in protecting investments that customers have made over years of configuration, integration, and process development. Replacing a carrier TMS can carry considerable expense and execution risk. Modernization within established workflows offers a potential route to new capabilities without requiring a wholesale operational reset.

FreightWise took a different approach with its October 2026 launch of Kuebix AI. Following its acquisition of Kuebix, the company is bringing its transportation technology onto a single platform and roadmap for small and midsize shippers. The offering combines less-than-truckload, truckload, and parcel execution with carrier connectivity, analytics, and integrations. Its AI-supported capabilities include multistop routing, service-time planning, and freight audit exception resolution. Customer migrations are underway, so the benefits of the consolidated architecture will depend in part on how smoothly those transitions proceed.

Oracle’s October announcement points to another direction: governed agentic applications embedded in enterprise processes. Its Fusion Claw-powered Shipment Load Planning Workspace evaluates consolidation opportunities, equipment capacity, timing, and service constraints to develop load recommendations for planner review and approval. Importantly, the workspace supports supply planning decisions; it does not itself execute transportation or replace Oracle Transportation Management. The strategic proposition is tighter coordination between enterprise planning data and decisions that eventually influence transportation execution.

Blue Yonder’s Logistics Ops Agent emphasizes decision support within transportation operations. It helps identify unroutable shipments, uncover backhaul opportunities, assess disruptions, and explain recommended actions in natural language while leaving transportation professionals in control. The approach combines operational context with more accessible analysis rather than treating an AI agent as a substitute for established optimization and execution processes.

project44’s Intelligent TMS, introduced in 2025, represents a network-centered approach. The platform brings freight procurement, planning, execution, visibility, and freight audit together using the company’s logistics data foundation. It can serve as a standalone TMS or operate alongside an incumbent platform, giving enterprises more than one path to adoption.

These are different market segments and technology layers, not five interchangeable products. Trimble’s carrier systems, FreightWise’s shipper-focused platform, Oracle’s planning workspace, Blue Yonder’s enterprise transportation capabilities, and project44’s integrated offering address overlapping but distinct requirements. Their announcements establish strategic direction and claimed functionality, not a uniform basis for comparing independently verified production results.

The Implementation Gap Is an Enterprise Challenge

The Descartes findings help explain why adoption remains uneven. Data quality was identified as a barrier to scaling AI by 33% of shippers and 45% of LSPs, while integration complexity was cited by 39% and 38%, respectively. These are survey respondents’ reported obstacles, not measurements of any individual supplier’s implementation performance.

Nevertheless, the findings identify a structural constraint. A system recommending carriers, consolidating loads, or revising a transportation plan needs dependable information about rates, capacity, delivery commitments, equipment, and operating restrictions. When those inputs are fragmented or inconsistent, even sophisticated recommendations can produce poor operational decisions.

The stakes also change as AI moves from administrative assistance toward action. Extracting information from transportation documents is a relatively bounded task. Changing a carrier assignment, revising a load plan, or responding to a service exception can introduce contractual, financial, and customer-service consequences. Reliable automation therefore depends on business rules, permissions, approval boundaries, exception handling, and auditability, not simply the intelligence of the underlying model.

Incremental deployment can be economically sensible. Organizations may achieve meaningful value from automating order entry, freight audit, communications, or monitoring before extending decision-making authority across a network. The opportunity for suppliers is to make those transitions easier through simpler integration, transparent recommendations, configurable controls, and support for existing processes.

What Transportation Buyers Should Measure

Transportation executives should broaden their software evaluation criteria without abandoning traditional TMS fundamentals. Functional breadth, optimization, multimodal coverage, carrier connectivity, and integration remain essential. AI adds new questions about implementation effort, decision reliability, oversight requirements, usage costs, and the consequences of automated actions.

A product demonstration can show that a workflow is technically possible. It says less about how the workflow behaves across thousands of transactions, difficult exceptions, and variable operating conditions. Buyers should ask suppliers for production evidence: exception rates, the frequency of human intervention, implementation effort, control mechanisms, and results achieved in comparable environments. They should also distinguish features available today from capabilities still on a product roadmap.

Commercial terms warrant similar scrutiny. AI capabilities may be included in subscriptions, priced by usage, or separately licensed. A pilot that looks inexpensive may have different economics when processing volume grows. The relevant measure is total cost to operate the capability, including integration, monitoring, support, and corrective intervention.

Most importantly, benefits should be assessed through transportation outcomes rather than counts of automated tasks. Shippers might track freight cost per shipment, tender acceptance, planner productivity, on-time delivery, and exception resolution costs. LSPs may focus on operating expense per load, revenue per employee, carrier-management productivity, and customer service performance. Improvements should be measured against a defined baseline and over enough time to capture operational variability.

A platform with sophisticated AI but extensive customization requirements may be less attractive for some organizations than one offering narrower functionality with faster deployment and predictable performance. The appropriate choice depends on network complexity, existing technology, and operating maturity, not the number of AI features on a slide.

Deployment Economics Will Shape the Next Competitive Phase

The TMS market is moving toward more intelligent transportation operations, but the transition will not be uniform. Large enterprises must balance innovation with continuity across complex systems and trading-partner relationships. Smaller shippers and service providers may place more immediate value on speed to implementation, integration simplicity, and demonstrable productivity gains.

Suppliers that align their technology and commercial models with these realities will have an advantage. Preserving useful customer configurations, improving data accessibility, reducing integration effort, and introducing automation within governed boundaries can be as important as adding capabilities. Buyers, meanwhile, should insist that the degree of autonomy matches the reliability of the data, the maturity of the workflow, and the cost of a wrong decision.

The Descartes survey points to a market where AI investment intent is strong but scaled deployment remains limited. That gap is an opportunity, not an indictment of existing technology. It shifts attention from what AI can demonstrate to what transportation organizations can reliably implement and measure. The next generation of TMS leaders will not necessarily be determined by how many AI features they introduce, but by their ability to make intelligent transportation execution practical, dependable, and economically valuable at scale.

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