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Forecasting & Inventory Optimization for a $1B Food Supply Program
Industry: Government / Defense Logistics
Themes: Forecasting · Inventory Optimization · Resilience
+6% service level improvement
20–25% working capital reduction
$1B+ annual flow managed
Large-scale food supply program operating in highly volatile, multi-country environments with long lead times and strict service-level requirements.
Core challenges:
Highly volatile demand patterns
60–90 day end-to-end lead times
Excessive working capital exposure
Contractual service penalties
Intervention (what you actually did):
Designed and implemented demand forecasting logic (non-AI, rules- and data-driven)
Redesigned inventory control parameters and replenishment policies
Stabilized WMS and TMS execution workflows
Reconfigured supply flows to improve responsiveness
Measured outcomes:
Service level improved from ~86% to ~92%
Working capital reduced by ~20–25%
Sustained operations at $1.1–1.2B annual scale
Maps to services:
Demand Forecasting
Inventory Optimization
Supply Chain Resilience