General Electric has saved $80 million over the past few years by integrating supplier data across business units using machine learning

'Rooms to go' uses Machine Learning to offer tailored add-on options to customers

Alliance Boots achieves inventory savings and improved service levels with machine learning optimisation algorithm

Smashbox cosmetics improves mobile app conversion rates by 27% using eye-tracking technology to improve customer user experience

Autodesk redesigned iconic Scandinavian design chair achieving 18% less volume; 90% decrease in max displacement; and 79% in von Mises stress with generative design model

LG's Cloi smart home controlling robot fails to respond to commands on stage at CES 2018

Symrise creates new fragrances using deep neural networks

Unilever plans to automate trademark research and detection for its brands using TrademarkNow's machine learning software

Bosch Thermotechnology improves field service management appointment accuracy and efficiency with machine learning

Rentokil pilots pest identification and treatment recommendation using a mobile app and image recognition

Sears Appliance Repair Unit gains 5 - 6% productivity by predicting parts required for field worker repairs

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

Hourglass Cosmetics debuts an interactive way to demonstrate its flagship product's virtual skin perfection using a virtual hologram assistant

IKEA launches an app that lets users see what furniture would look like in their own home using augmented reality

Jaeger-LeCoultre offers personalised recommendations that match items in cart or those bought previously, using chatbot service

L’Oreal’s Makeup Genius app allows customers to see how the make up will look on them using augmented reality

ModiFace enhances its AR app by enabling voice conversations with customers using natural language processing

My Beauty Matches drives higher conversion rates and life time value for retail partners using machine learning to personalise customer recommendations

Proven offers personalised skincare products with the use of machine learning

Sephora's mobile app identifies cosmetics products used in images

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

Shiseido, a Japanese cosmetics company, builds more complete and queryable customer profiles and segmentation using AI and natural language processing

StitchFix identifies best matching personal stylists for each customer using machine learning to better serve its 2.2m customers

Stonewall Kitchen improved email open and conversion rates by 10 and 4% respectively through predictive modelling

Watchfinder increases average order value by 13% with targeted re-marketing campaign using Google Analytics

Wayfair introduces augmented reality app to visualize furniture in rooms ahead of purchase, just by using smartphone.

Westwing, analyzes cross-device integration data using Google analytics in order to market consumers more effectively.

Wunder2, a British cosmetic brand startup analysed 500,000 customer Facebook posts with natural language processing capabilities to better understand customer sentiment and concerns

Tencent detects malware on Android phones in real-time using deep neural networks

Indigo improves candidate experience and cuts hiring costs by 71% using machine learning