A multi-algorithm based intelligent merchandising solution designed for sharper assortments to help increase full price sell-through and maximise ROI on inventory investments
Machine Learning based models for precise sales prediction
Create store clusters with similar behavior and demographics that aid in localized assortment and inventory allocation policies
Get recommendations on the optimal number of options and units of each option based on business goals
Get store specific size pack recommendations for each style
ML based algorithms for demand forecasting, store Clustering,size pack optimization
Designed specially with the retail end user in mind
Algorithms/attributes/application all designed and tuned for a fashion usecase.
Faster and cheaper with a 4-6 week deployment timeline
