top of page

AI Use Case

Personalise product recommendations for existing customers

One of the fastest ways to build revenue is to increase average shopping cart size and to cross-sell to exisiting customers with whom you have a relationship, data and a brand affinity. Also called recommendation engine or recommendation system, these systems leverage customer data to ensure that existing customers purchase more.



Digital Marketing


Revenue - Customer engagement,Revenue - Churn risk reduction,Revenue - Customer retention

Case Studies

"Jaeger-LeCoultre~Jaeger-LeCoultre offers personalised recommendations that match items in cart or those bought previously, using chatbot service",The John Lewis Partnership~John Lewis improves shopping experience by keeping track of customer purchase patterns to predict inventory and tailor offers for individual customers with machine learning,The North Face~The North Face improves omnichannel experience increasing customer satisfaction and loyalty with natural language processing,"Identité~Seymourpowell proposes personalized skincare service which recommends suitable products based on skin type, preferences, location etc.",TGI Friday's~TGI Fridays creates a customised beverage recommendation system on the restaurant's mobile app ,GoDiva~Godiva boosts website wide customer conversion rate by 24% by offering personalised recommendations to online visitors using machine learning,"Gousto~Gousto, a British meal kit retailer, grows customer base by 700% by using machine learning to forecast demand and personalise recommendations",Pinterest~Pinterest enhances image search by not only searching for matching items but also related items such as suggesting recipes for grocery items doubling the click-through rates,"The North Face~The North Face offers customers a personalised, engaging virtual shopping experience using chatbot and machine learning",Toronto-Dominion Bank ~Toronto-Dominion(TD) Bank plans to offer personalised recommendations for its customers using deep learning ,Stitch Fix~Stitch Fix assists personal stylist staff in choosing matching clothing items for customers by filtering products to closely match customer preference using recommendation algorithms,Stitch Fix~StitchFix identifies best matching personal stylists for each customer using machine learning to better serve its 2.2m customers,Rooms To Go ~'Rooms to go' uses Machine Learning to offer tailored add-on options to customers,Amazon~Amazon makes personalised product recommendations to customers with machine learning,Proven~Proven offers personalised skincare products with the use of machine learning,"Trulia~Trulia achieves double-digit increase in consumer engagement through a more personalized, predictive experience using machine vision",Global Retailer~One of the world’s biggest retailers recommends groceries to online shoppers,Atolla Skin Lab~Atolla identifies skin health issues and recommends skin care products using machine learning,Nike~Nike offers foot measurement for accurate individual shoe size guide using computer vision

Potential Vendors

Facebook,Adobe,IBM,Hypergiant,Reflektion,IBM Watson,Fluid,Google,ASI Data Science


Data Sets

Structured / Semi-structured,Video

AI Technologies

Machine Learning (ML),ML Task - Action Selection - Reinforcement Learning ,ML Task - Grouping - Clustering,ML Task - Prediction - Regression

bottom of page