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
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
Stitch Fix assists personal stylist staff in choosing matching clothing items for customers by filtering products to closely match customer preference using recommendation algorithms
Albert Heijn, a Dutch grocer, reduced time to hire by 67% and improved candidate satisfaction by using machine learning to better match applicants to roles
Unilever saved over 50,000 hours in candidate interview time and delivered over £1M annual savings and improved candidate diversity with machine analysis of video-based interviewing.
Under Armour is leveraging machine vision and learning to provide UA Record™ app users with enhanced coaching on sleep, fitness, activity and nutrition