Levi's launches patent-pending BOOST platform to optimize store-replenishment and e-commerce fulfillment with AI
Levi Strauss deployed its BOOST (Business Optimization of Shipping and Transport) platform to expand fulfillment from distribution centers to stores, reduce split shipments, and automatically route e-commerce orders to the best fulfillment point based on current sales data.
Background
Levi's was working to accelerate its direct-to-consumer business and needed its fulfillment operations to keep pace. E-commerce demand was growing, but the company's inventory was distributed across both distribution centers and physical stores. Without a system to intelligently access store inventory for online orders, distribution centers would run out of stock while store shelves held equivalent product — driving split shipments, elevated costs, and customer dissatisfaction.
What Was Implemented
- BOOST (Business Optimization of Shipping and Transport): patent-pending AI platform
- Dynamic routing of e-commerce orders to optimal fulfillment point (distribution center or store)
- Simultaneous optimization across shipping, packaging, and labor cost parameters
- Split shipment reduction logic
- Initial scope: 40% of U.S. e-commerce orders (August 2022); target 100% of eligible U.S. orders by Black Friday 2022
- European rollout in parallel
- Named executive: Louis DiCesari, Global Head of Data, Analytics and AI
Results
BOOST launched covering 40% of U.S. e-commerce orders in August 2022 with a target to scale to 100% of eligible U.S. orders by Black Friday 2022. The platform reduces split shipments and optimizes fulfillment routing by simultaneously considering shipping, packaging, and labor costs. Specific quantified outcome metrics (cost reduction, fulfillment speed improvement) beyond initial coverage figures were not disclosed in the primary source at launch.
Lessons
- Treating store inventory as a fulfillment resource for e-commerce orders unlocks significant network efficiency without additional physical investment
- Simultaneous optimization across multiple cost dimensions (shipping, packaging, labor) produces better outcomes than optimizing any single dimension
- Phased rollouts (40% → 100%) allow operational validation before full commitment
- Patent-pending designs in supply chain AI indicate significant investment in proprietary differentiation