Technology · Retail
Demand forecasting moved from spreadsheets to a governed AI model
A forecasting platform replaced manual planning across 120 stores, with model governance built in from day one.
38%
Fewer stock-outs
2
Cycles to payback
120
Stores live
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- Background
- A 120-store chain planning replenishment in spreadsheets maintained by four regional planners.
- Challenge
- Stock-outs on fast movers and 40 days of cover on slow movers, with no visibility of why.
- SJAIN solution
- Tech built the demand-forecasting platform and store dashboards; Governance defined model oversight and data ownership.
- Outcome
- Stock-outs down 38% and working capital released within two planning cycles.
- Lesson learned
- A forecast nobody owns is ignored. Decision rights matter as much as model accuracy.
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