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AI Use Case

Personalise product offerings to target individual consumers

Personalise product offerings to target individual consumers based on multiple data sources (e..g mobile, social media, location, etc.) and historic / comparable behaviour patterns.


R And D

Product Management


Revenue - Personalisation,Revenue - Higher response rates,Revenue - Customer experience

Case Studies

Toronto-Dominion Bank ~Toronto-Dominion(TD) Bank plans to offer personalised recommendations for its customers using deep learning ,Dorchester Collections~Dorchester Collections personalises guest experience with machine learning analytics,L’Oreal~L’Oreal’s Makeup Genius app allows customers to see how the make up will look on them using augmented reality,Sears~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,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"

Potential Vendors


Data Sets

Structured / Semi-structured,Text

AI Technologies

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

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