Retailer Cuts Out-of-Stocks 50% with AI Replenishment
Building an AI demand forecasting and auto-replenishment platform on Microsoft Fabric, dramatically improving on-shelf availability while reducing inventory.
Project Overview
The Challenge
Replenishment was rule-based, leading to either out-of-stocks during demand surges or overstock during slowdowns.
- 1Out-of-stock rate above 8% damaging customer experience
- 2Manual replenishment overrides consuming planner capacity
- 3Limited ability to react to promotion lifts or weather effects
Our Solution
CloudGate built an AI replenishment platform on Microsoft Fabric forecasting at store-SKU-day level with auto-replenishment to ERP.
- Store-SKU-day demand forecasting with promotion and weather signals
- Auto-replenishment with planner exception management
- Planner copilot for promotion planning and what-if analysis
The Results
- Standardized replenishment across 450+ stores
Technologies Used
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