What is the Role of AI in Supply Chain Efficiency?

The role of procurement has evolved significantly over the past five years, transitioning from a transactional function to a strategic driver of supply chain resilience and business growth.

No longer defined solely by cost savings, procurement is now understood for its critical role in sustainability, innovation and supply chain stability.

However, despite this deeper understanding, teams worldwide are struggling to adapt to mounting demands.

Ongoing volatility in the global landscape creates immense pressure that exposes vulnerabilities across supply chain networks.

A need for modernisation

McKinsey & Company explores how procurement is being redefined by agentic AI. Over the past three years, immense instability has emerged across global supply chains, with ongoing inflationary pressure, supply shocks and an increased volume of data testing the limits of legacy procurement models.

Procurement leaders are now tasked with predicting volatility, tracking disruptions from their earliest stages and responding to major supply chain events before they escalate.

An increasing gap exists between strategic goals and execution, with teams facing delays from administrative workloads, fragmented data points and slow sourcing processes. According to McKinsey research, today's procurement functions use less than 20% of available data to support decision-making, leaving significant untapped potential for supply chain optimisation.

The emerging use of agentic AI calls for an evolution of procurement teams and functions. If organisations can appropriately implement AI across their operations, they could see new savings, resilience and innovation throughout their supply chains.

All supply chain, sustainability, Scope 3 and net zero leaders should attend:

• Procurement and Supply Chain LIVE: The Net Zero Summit - QEII Centre, London, March 4-5
• Procurement and Supply Chain LIVE: The US Summit - Navy Pier, Chicago, April 21-22

Co-located with Sustainability LIVE, these events brings together CSCOs, CSOs and senior decision-makers at a moment when sustainability, supply chains and commercial performance are increasingly interconnected.
Tickets can be booked online today for The Net Zero Summit and The US Summit. Group discounts available.

Transforming supply chain operations

"Across hundreds of conversations with procurement leaders, and based on what we are seeing in live transformations, the pattern is consistent," says Roman Belotserkovskiy, Partner at McKinsey & Company.

"Leaders are moving beyond dashboards and insights towards agentic systems that deliver not just efficiency, but materially higher effectiveness. As sourcing, negotiations, contract compliance and value preservation are increasingly augmented by AI, the real question becomes: how do we deliberately transition humans to focus on judgement, orchestration and relationships?"

The way procurement teams now use technology has shifted from analytical AI to agentic AI, where agents undertake tasks autonomously rather than simply presenting data for users. These agents analyse data, explore solutions and autonomously generate recommendations that could transform supply chain decision-making.

Operational efficiency gains

Procurement teams are harnessing AI agents to operate across end-to-end supply chain solutions, from identifying opportunities and sourcing suppliers to tracking performance post-agreement. The outcome sees agents handling scale, speed and synthesis while humans focus their efforts on relationship building and complex judgement.

Businesses that have acted quickly have seen significant results, according to McKinsey case studies. One company using AI agents for autonomous sourcing has seen procurement staff efficiency increase by 20% to 30%, while boosting value capture to 1% to 3%. By investing in the right foundations, businesses can pilot new technology in weeks and scale in less than a year.

Building resilient supply chains

Executives are witnessing new opportunities with AI, making procurement strategic for driving growth, supply chain resilience and ESG initiatives. The tool can enable smarter decisions with more agile supplier networks, provided it is implemented correctly.

According to McKinsey's analysis, a roadmap for success includes activating agents through RFx generation, analytics and contract optimisation systems. Organisations should define long-term vision by focusing on business outcomes rather than viewing AI as merely a tool.

Scaling fast by selecting high-impact categories and building the right team through cross-functional task forces are essential steps. Investing in capability building immediately ensures product takeoff faces no delays, while establishing feedback loops treats every cycle as a learning opportunity.

Procurement leaders who fail to act with speed may be left behind by competitors and their own suppliers, making the need to invest in agentic AI for supply chain transformation increasingly clear.