AI Case Study
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
Adidas debuted an interactive digital wall to display footwear according to demand predicted based on factors such as seasonality, demographic, events. The product display is based on demand prediction using machine learning.
Industry
Consumer Goods And Services
Retail General
Project Overview
"Adidas partnered with Intel to build the magical spinning interactive adiVerse Virtual Footwear Wall potentially puts as many as 8,000 shoes at shoppers’ fingertips
The wall renders products in 3-D, and allows a shopper to spin and zoom in on the shoes, and call up specs from a touch-screen display."
Models are displayed according to demand and is dynamic.
Reported Results
POC. The results were not published but it appears that they have not expanded this trial.
Technology
Time service machine learning.
Function
Marketing
Merchandising
Background
Benefits
Data
Demand is predicted based on factors such as seasonality, demographics and events.