Description
Optimise merchandising product mix
Linked Case Studies
Case Study
Otto
Otto predicts with 90% accuracy what products will be sold within 30 days driving automated purchasing and reduction of annual returns by 2M
Case Study
HARPS
Harps Food Stores, increases sales by 5% by optimising decision-making around pricing and promotions using machine learning
Case Study
DeepMagic
DeepMagic offers a fully automated retail pop-up store which uses facial and image recognition to identify customers and determine what they pick up and put down
Case Study
Adidas
Adidas tests an interactive and virtual retail display wall for footwear optimising inventory displayed with machine learning that results in a smaller foot print store
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Source: kaggle.com · Editor: original-sdg