Sales Data Cleanup
Discard extremely highly discounted sales as it is not representative of true demand. Work with only profitable sales to predict true demand in future.
Top Seller
Finds the best performing styles based on higher revenue and lower discounts.
Top Seller
Finds the best performing styles based on higher revenue and lower discounts.
Ideal Assortment
For every store, month, category combination:
- Predict the ideal assortment for the store. E.g. Mens, Shirt, Casual should contribute to 8% of store sales.
- Predict the right size set for that store. E.g. Mens, Shirt, Casual.
Revenue Split
For every store, month, category combination, predict
- How much inventory should sell (quantity wise, revenue wise)
- In what sizes
Revenue Split
For every store, month, category combination, predict
- How much inventory should sell (quantity wise, revenue wise)
- In what sizes
Distribution
Distribute inventory from warehouse to store
- Allocation – Distribute fresh season inventory on past season sales trends
- Replenishment – Replenish your stores based on in-season sales trends
- Replacement – Replace out-of-stock styles with similar styles
- Size correction – Send inventory to each store in the right sizes, as per the demand patterns of that store