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Retail · Data & AI

Markdown losses down 22% with governed demand forecasting

Spreadsheet planning across 140 locations replaced by a governed forecasting platform merchandisers trust.

22%

Reduction in markdown losses

98.4%

Inventory accuracy

1 day

Reporting latency, from 7

The challenge

Where the client started

Forecasts were rebuilt manually each week, arriving too late to influence buying or allocation decisions.

Our approach

What we did

  1. 01Historical demand modeling with promotion and seasonality features
  2. 02Warehouse consolidation and metric layer definition
  3. 03Allocation workflow redesign with merchandising teams
  4. 04Weekly accuracy reporting and model retraining cadence
Our demand forecasting went from spreadsheets to a governed data platform. Markdown losses are down 22% year over year.
Priya NandakumarVP Growth, Cascade Retail

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