AI in last mile logistics has moved beyond theory. For logistics professionals seeking to cut costs and improve efficiency, success comes from a focused, step-by-step approach that ties AI directly to operational priorities. This playbook offers a practical framework for reducing inbound call volume, empowering drivers, and optimizing routes. With the right foundation, organizations can lower expenses, streamline delivery execution, and build a scalable path to AI-driven performance gains across the enterprise.
What This Playbook Covers
This playbook outlines practical ways CIOs and logistics leaders can use AI to reduce delivery costs across customer experience, driver management, and routing efficiency.
Cut customer service costs: Deploy AI-powered chat agents to handle routine inquiries, slash inbound call volume by up to 80%, and deliver faster responses without adding headcount.
Boost driver productivity: Equip drivers with AI-generated stop briefings, from parking details to building access info, enabling them to complete more deliveries per day and cut wasted time.
Optimize routes with AI: Leverage machine learning to reduce miles driven and driver hours by 10%+, increase first-attempt delivery rates, and eliminate costly redeliveries.
Build for scale: Pair AI customer communications with AI-enhanced driver and routing tools to create a connected last mile operation that lowers costs while improving service.
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