Decision research for fashion retail demand forecasting, lifecycle state and markdown optimization.
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Updated
Aug 28, 2026 - Python
Decision research for fashion retail demand forecasting, lifecycle state and markdown optimization.
Clearance markdowns set per SKU from pooled price elasticities instead of a blanket 30% off, scored on demand with known ground truth
ML decision-support system for detecting slow-selling SKU-store combinations and evaluating conservative markdown scenarios using Walmart M5 data.
Which products still need a discount? Targeted markdowns on Zalando data: +10.6% gross profit vs current pricing
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