AI case studies from the real-world

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

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

Researchers from Northwestern University achieved 88% accuracy predicting Amazon bestsellers with machine learning

Rocket Fuel uses NLP to protect brand reputation when determining online ad placement

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

Toutiao personalises newsfeeds for each of its 600M users using machine learning

Wall Street Journal improves visitor to subscriber conversion rates by optimising experience to match machine learning modelled propensity to subscribe

Washington Post helps improve click-through rate by 95% on its story recommendations using machine learning

Yahoo! researchers investigate optimising click-through rates by predicting optimal news story to feature online

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

Carrefour increased online sales by targeting customers on multiple devices

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

Domino's Pizza uses image recognition to award customer loyalty points based on photos