Last-Mile Delivery

From use case: Last-Mile Delivery

Global logistics companies have achieved measurable results using AI to streamline last-mile delivery. FedEx reported a 10% reduction in pickup and delivery costs in key markets after implementing AI-based solutions. Its 155 2.3 Fulfill (Supply Chain & Logistics) Hold-to-Match system improves efficiency by consolidating multiple shipments to the same destination. DHL employs AI software from Wise Systems that continuously analyzes shipments and adjusts routes in real time, refining delivery times as vehicles move closer to their destinations.

In retail, leading brands have deployed similar strategies. Walmart says its route optimization technology eliminated 30 million unnecessary miles, preventing 94 million pounds of carbon dioxide emissions.

Success depends on strong data infrastructure, phased rollouts, continuous model improvement, and effective change management to help workforces adapt to automation.