Retail Chain
Smarter Demand Forecasting Across 120 Stores
Turning point-of-sale noise into store-level forecasts the merchandising team could actually trust.
24%
Less Excess Inventory
120
Stores Onboarded
99.9%
Pipeline Uptime
This retail chain's planning team was fighting a losing battle against spreadsheets. We helped them replace manual forecasting with a self-service platform their merchandising team could actually trust.
The Challenge
Forecasting demand was a manual, spreadsheet-driven process maintained by a small team, with no way to account for seasonality, promotions, or local store trends. The result was chronic overstock in slow-moving categories and stockouts on bestsellers — tying up working capital while leaving revenue on the table.
Our Approach
We designed a demand forecasting and inventory optimization platform that ingests point-of-sale, supplier, and promotional calendar data, and generates store- and SKU-level forecasts automatically. A self-service layer lets merchandising and supply chain teams adjust assumptions and see the forecast update in real time.
- Automated ingestion of POS & supply chain data
- Store-level & SKU-level demand models
- Promotion & seasonality-aware forecasting
- Self-service adjustment layer for merchandising teams
Technologies Used
The Results
Inventory allocation became a data-driven process instead of a guessing game, freeing up working capital and improving on-shelf availability across the chain.
For the first time, our merchandising team trusts the forecast enough to act on it without double-checking it in a spreadsheet.
VP of Supply Chain, Retail Chain client
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