BevMo automates store inventory and stocking management using autonomous robots

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

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

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

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

Lowes introduced Lowebot, a retail robot, to help customers and scan inventory in real-time to locate product or price discrepancies

Coca-Cola Hellenic covers 3.6X more stores by automating in-store inventory audits using image recognition

Coca-Cola achieves 6 percent additional revenue with 15 percent fewer restocking trips by identifying the right product and placement using intelligent vending machines

Airbnb improves search results ranking with the use of deep learning

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

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

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

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

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

Seymourpowell proposes personalized skincare service which recommends suitable products based on skin type, preferences, location etc.

Bytedance ranks web content according to the preference of each user by analysing their behaviour using machine learning

TMZ generates more than 6.5m video views on Facebook by auto editing video contents to suit device screens or platforms using machine learning

The Hollywood Reporter increases website traffic and customer engagement by personalising auto-play video content using machine learning

Gousto, a British meal kit retailer, grows customer base by 700% by using machine learning to forecast demand and personalise recommendations

Harps Food Stores, increases sales by 5% by optimising decision-making around pricing and promotions using machine learning

Google YouTube drives 60% of video clicks through its machine learning recommendation system for users

Audi increases dealership visits by 31% following targeted marketing using AI