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

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

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

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

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

TGI Friday's increases happy hour revenue by 70% through ad campaign personalisation based on app users' social media posting

TGI Fridays creates a customised beverage recommendation system on the restaurant's mobile app

Netflix reduces customer churn by several percentage points using machine learning to provide personalised video recommendations

Spotify increased service subscribers by 33% through customised music recommendations

The U.S. Open enhances and personalises the customer experience by offering fans content in near real time with IBM Watson.

Uber discriminates price for different customers using machine learning and a variety of sociological data

Zendesk implements MarianaIQ to identify and better target audiences for Facebook marketing campaigns

Equinix predicts customer churn with 90% accuracy using a machine learning neural network model

MARS Marketing improved accuracy of purchase intent in marketing research by 8% using facial analysis during ad viewing

Hotel del Coronado adjusts pricing to achieve full capacity by predicting seasonal demand accurately

7-Eleven improved customer marketing and in-store capacity planning in Indonesia and Mexico using machine learning to predict demand variations

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

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

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

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

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

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

Namaste Technologies plans to increase average order value, customer retention and conversion rates using machine learning through acquisition of Findify technology

Caesar Entertainment drives revenue by optimising floor layouts, pricing and even restaurant menus to better match customer segments

Disney researchers identify, track and predict movie audience enjoyment using facial recognition

Netflix improves core metrics by customising the product images displayed to users with machine learning

Spotify measures effectiveness of digital ads on foot traffic in real world locations with machine learning

AirBnB achieves gains in bookings using machine learning models to improve property search results

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