AI Supply Chain Use Cases: Where It Delivers Value
· Source: inboundlogistics.com
In short
This feature article examines where artificial intelligence delivers quantifiable value in supply chain operations, citing McKinsey research showing 20-30% reductions in inventory, 5-20% in logistics costs, and 5-15% in procurement spend. Industry leaders from McKinsey, Evans Transportation, and iGPS Logistics share practical examples of AI applications in demand forecasting, freight matching, warehouse slotting, order entry, and carrier call handling. The article also covers recent developments including Wiliot's Physical AI partnership with AT&T, B&H Worldwide's AI-driven tire scanning, new retail research on AI infrastructure gaps, and procurement insights from SAP Taulia.
Read Original Article — Read the full article on the publisher’s site.
In the issue of week 31, 2026: AI Drives Dock-to-Data Gains and Agentic Recovery in Supply Chains
Tags: demand forecasting, warehouse management, shipment visibility, procurement, freight matching, supply chain