5,000 daily shipments optimized. $300M saved annually. This is what AI does at scale.

Problem

Fixed delivery routes could not adapt to real-time conditions. Millions of packages, thousands of drivers, static route planning wasting fuel, time, and money.

Solution

AI agent called ORION (On-Road Integrated Optimization and Navigation) plans delivery routes in real time using live data - traffic, package priority, driver constraints - instead of relying on fixed paths.

Problem

Over 5,000 daily shipments from manufacturing plants to warehouses. Suboptimal routing and load planning driving up transportation costs.

Solution

AI models deployed to assess and optimize transportation across full shipment volume - route selection, load consolidation, and warehouse allocation.

Problem

Massive e-commerce scale requiring constant optimization of procurement, warehousing, and order fulfillment to maintain margins.

Solution

AI-driven supply chain optimization across procurement efficiency, warehouse robotics (750,000+ robots including smart systems like Proteus and Cardinal), and digital twins for logistics planning.

Problem

Procurement invoices regularly contained overcharges that went undetected. Manual review of invoices against contract terms was impossible at volume.

Solution

Custom GenAI tool built in 10 weeks that scans incoming invoices, compares charged amounts against contract pricing, flags discrepancies, and auto-drafts reconciliation messages for claims managers.

Problem

Wanted to go beyond simply speeding up existing processes. Needed to fundamentally rethink workflows with GenAI capabilities in mind.

Solution

Instead of bolting AI onto old processes, teams evaluated each workflow, determined where GenAI improved it, and ran "mirror" processes - old and new in parallel - to validate before switching over.