AI case studies from the real-world

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

Alibaba Group's LuBan platform automatically designs 400M online advertising banners using image processing and reinforcement learning

Alibaba improves online ad performance by 45% using reinforcement learning to optimise real time bidding

Alibaba's marketing arm is producing 20,000 lines of copywriting per second with machine learning and natural language processing

Amazon makes personalised product recommendations to customers with machine learning

Amazon provides customers with product suggestions according to its recommendation algorithm which improves upon machine learning techniques to scale with its large product catalogue

BevMo automates store inventory and stocking management using autonomous robots

Burberry launches a new feature for mobile app allowing users to add “Burberry-inspired” drawings using AR

Cadillac Fairview suspends usage of facial recognition software to predict demographic information of customers in shopping centres

Choosy plans to design and sell apparel according to popular social media trends

Cosabella increased ROAS to 336% by segmenting target markets, and optimising channel selection, campaign content, and paid search using Adgorithm's deep learning

DeepMagic offers a fully automated retail pop-up store which uses facial and image recognition to identify customers and determine what they pick up and put down

Disney enhances the search feature in online stores by adding image search and text tagging using machine learning

Ernsting’s Family optimises pricing decisions while improving revenue and margins with machine learning

Facebook is testing a system to recommend products on Marketplace similar to photos of items people are looking for

Flipkart achieves 95% accuracy for classifying products based on images

GoFind.AI improves shopping by finding matching products from images​ with 92% accuracy

Henkel uplifts its revenue by 2.1% by tracking distribution and share of shelf at granular SKU level leveraging visual recognition and sales data

John Lewis improves shopping experience by keeping track of customer purchase patterns to predict inventory and tailor offers for individual customers with machine learning

Levi Strauss & Company achieves near 100% accuracy in tracking in-store inventory and identifies optimal product placement using sensors and visual recognition

Moby Store, launched by Wheelys, is running 24-hour store entirely using technology

One of the world’s biggest retailers recommends groceries to online shoppers

Sears exceeded the target customer numbers in 50% less time by better segmenting customers to improve loyalty programme and marketing campaign effectiveness with machine learning

ShopAtHome Increases its marketing material open rate by 23% and click-through rate by 30% with machine learning

Stitch Fix assists personal stylist staff in choosing matching clothing items for customers by filtering products to closely match customer preference using recommendation algorithms

Taobao uses Alibaba Group's image search feature to allow app users to search for products by user uploaded image

Target increases express shopping via Google by 20% with personalised recommendations using machine learning

The North Face improves omnichannel experience increasing customer satisfaction and loyalty with natural language processing

eBay sees 1B USD in incremental sales per quarter using machine learning for search, inventory managemet and other functions

Atolla identifies skin health issues and recommends skin care products using machine learning