🥁AI in retail: 7 examples
eBay - Pricing and stockpiling, optimizing the appearance of product cards to increase appeal and increase sales
Sephora uses a color matching recommendation system for color cosmetics (lipstick, eyeshadow and powder): the camera scans the skin color, analyzes the data and generates a unique color number and selects the product from the product line that suits this client best.
Tesco - inventory management: forecasting and replenishing with weather and regional characteristics, as well as data from CCTV cameras directed to store shelves. And routing ML-algorithms help buy faster in Tesco Online.
OTTO - Predicting future purchases based on the analysis of 3 billion historical transactions and 200 additional variables (weather, website searches, etc.). The accuracy of the forecast of which product will be sold within a month reaches 90%. This helps to optimize warehouse stocks and increase product turnover.
Simbe Robotics creates robots that detect violation of the plan for the placement of goods, their lack of goods and non-compliance with price tags using computer vision systems. She not only recognizes products, but also recommends how to fill them.
Vekia has developed a supply chain management solution for Leroy Merlen, Etam, Okaidi and Jacadi: control of goods in each store with daily assortment assessments. The system calculates the optimal stock level for each location several times a day and can automatically generate an order for the required items.
Diwo - determination of the factors of decrease in sales for individual products. The ML system also offers a set of recommended strategies for improving the situation, suggesting the ideal time to start promotions and other attributes of advertising campaigns.