Retailer scenarios on the impact of returns on price optimization using AI in retail and machine learning approaches for forecasting returns, OLS regression, Logistic regression, Random forest, Gradient boosting and Neural networks from the Oracle Retail Science team.
Oracle Retail serves Latin America OXXO with the following solutions: Oracle Retail Merchandising System, Oracle Retail Warehouse Management System, Oracle Retail Demand Forecasting, and Oracle Retail Advanced Inventory Planning.
Popular Russian footwear chain, ZENDEN Group, deployed Oracle Retail planning and demand forecasting solutions to drive inventory productivity and elevate the customer experience with better inventory placement.
See how BOPIS has gained incredible traction, particularly around the holidays, and has quickly become a favored channel for many customers. Oracle Retail found that 30% of millennials and 25% of Gen Z consumers will go the BOPIS route and pick up the gifts they ordered online in the store. See how Oracle Retail Omnichannel and Offer Optimization are helping retailers win this holiday.
Retailer tips on the top six strategies for driving maximum traffic over the holidays: 1) Highlighting promotions 2) Getting websites ready for increased traffic 3) Offering BOPIS 4) Building up mobile capabilities 5) Preparing for returns 6) Creating an in-store experience
Virtual warehouse allocation is solved using Oracle Retail Science's Offer Optimization. See how one retailer realized a 3% average revenue improvement on 88% of its products and a 33% improvement on 2% of its products, with the help of machine learning in retail.
Fashion and Outdoor retailer and manufacturer, Cape Union Mart International Pty Ltd, Inc. has selected Oracle to modernize its retail operations. With Oracle, Cape Union Mart will have better inventory visibility and more sophisticated merchandise assortments that keep shoppers coming back for more.