A transformation is taking place from a previous focus on total value to a more centralised global function. As such, supply chain leaders should be thinking more strategically than ever before during the year ahead.
2026 is unlikely to offer respite from the continual challenges of recent years for supply chain leaders. 6 trends were expected to have the potential to dominate their experience, with some reshaping overarching strategies. Others are enhancing the use of technology and data, such as implementing advanced analytics and automation tools to improve efficiency and decision-making. A few others are addressing the relentless external pressures that impact all supply chains, such as economic fluctuations, regulatory changes, and shifts in consumer demand.
What is reviewed here is a closer look at what these trends are. Additionally, this section discusses why supply chain leaders should embrace these trends to create a high-functioning, resilient, and value-driven supply chain.
Total Value as a strategic imperative
We anticipate that in ’26, the focus of leading supply chain operations will shift from resilience to delivering ‘Total Value’. From a supply chain management perspective, Total Value shifts the organisational lens from merely navigating supply chain disruption to actively pursuing enterprise-wide value maximisation. This strategic approach unites Total Experience & Total Performance, which is expected to integrate critical business dimensions such as customer satisfaction, operational efficiency, and financial performance to enhance overall organisational success.
Supply Chain as an integral part of global business services
The supply chain manages many transactions and reporting needs. Therefore, it is the next function to be migrated within the Global Business Services (GBS) organization. The centralisation of additional functions, including finance, HR, and IT, will occur next. In the short term, this trend plays out for major global operators and is likely to set the scene for others to follow.
Supply chains tend to have many repetitive, transactional, and scalable tasks. This presents an opportunity to consolidate the function under one umbrella. Centralised supply chains may help organisations leverage cost efficiencies, scale, and engage in analytics, automation, and AI. Centralisation may also help increase global end-to-end supply chain visibility. It may also enable quicker and more informed decision-making around warehousing and logistics needs, besides providing greater risk governance and resilience coverage, which are essential for adapting to market changes and improving overall supply chain performance.
A more mature supply chain function under GBS is likely to also feature capabilities, such as fully standardised supply and demand planning. Additionally, the supply chain function is expected to include dedicated and integrated logistics control towers, primary and secondary logistics systems, e-commerce solutions, and self-service capabilities.
AI scaling beyond the value of proof
Through ’26, it is expected to witness many of the recent promises of AI in the supply chain become realities. Supply chains are expected to move from an engaging standpoint, with AI solutions proving their value. This includes embedding AI in platforms such as Source-to-Pay. Supply chain planning and risk management tools should focus on driving efficiency and governance.
The most mature supply chains should achieve ‘Connected Intelligence’. This enterprise-wide AI links the supply chain with procurement, finance, ESG, HR, and CRM systems. They form an intelligent and autonomous ecosystem. Many supply chain leaders are increasingly preparing for this step. This progress builds on previous investments in the right technology platforms, connected data, and leadership commitment that have been established.
Agent procurement
The advancing role of AI in the supply chain, as well as in procurement—whether integrated within or aligned to supply chain tasks—will increasingly be powered by agentic AI.
During ’26, three forces will converge to make this a reality. The 1st is capability maturity, with agents not just producing insights but actively performing tasks such as supplier evaluation, risk monitoring and contract review. The second force is strategic pressure, with leaders focusing on embedding agentic AI. This is across the procurement lifecycle. The third force is operating model evolution, with digital procurement platforms evolving towards extreme automation, deep integration, and Agentic AI.
