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.
Function
R And D
Product Management
Benefits
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
Industry
Data Sets
Structured / Semi-structured,Text
AI Technologies
Machine Learning (ML),ML Task - Grouping - Clustering,ML Task - Action Selection - Reinforcement Learning