Retail
Usecases
Adidas learns from its consumers' design creation to …
With the use of machine learning, Adidas is able to reduce the typical 18 month timeframe of turning trends into commercially saleable shoes to just 24 hours. It does so by letting consumers design their own shoes in its prototype SpeedFactory, from which then the product ships immediately. As a result, by analysing the co-created designs with machine learning, the …
Kiabi increases in-store product availability by 7% by …
Kiabi is piloting machine learning to analyse historic sales data to improve its supply chain management. Its forecasting extends to predicting demand for seasonal and permanent product stock using a supply management platform to also ensure orders from suppliers are put in on time.
Otto reduces the rate of product returns by …
Otto, the German e-commerce giant, saved millions of Euros by accurately predicting customer demand and using it to plan inventory. They were looking to reduce losses caused by product returns and found that customers prefer to receive all the items in one shipping, within two days. The only way they could do this was by predicting which items would be …
Walmart is enhancing its in-store customer experience with …
Walmart’s warehouse club, Sam’s Club will launch a new store powered by emerging technology, in Dallas. Sam's club now will be a store where cashiers are replaced by its already existing app so that customers can scan products as they shop and check out through the app. Other features of the store include a camera system for inventory management, electronic …
eBay introduces an app for sellers to identify …
eBay adds a new augmented reality feature in its app to help sellers identify matching shipping box for products. It also calculates shipping costs. The app will super impose different shipping boxes on any object the camera points to and eBay uses images and dimensions to help solve a problem for sellers.
The North Face improves omnichannel experience increasing customer …
The North Face leverages IBM’s Watson as a personal shopping assistant in their online shop to recommend products in natural language based on qualifying questions about location, temperature, among other factors.
Facebook enhances buyer and seller interactions on Marketplace …
When buyers and sellers interact on Facebook's Marketplace, they are supported by the company's chatbot, M. The automated assistant can provide information on an item's availability, suggest alternatives or translate messages. The company has disclosed that their system has been trained with a focus on recognizing intent using different neural net models and entity extractors.