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.