AI Use Case

Provide clothing and beauty product proposition online based on subscriber preferences

Provide clothing and beauty product proposition online based on subscriber preferences. Typically consumer fills in a questionnaire and responds to photo prompts - this is combined with other customer data, including sales, to be analysed to prompt customer product mix proposition. The customers acceptance or rejection of these reinforces the learning loop. Often there remains a human in the loop - especially initially.

Function

Benefits

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

Case Studies

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,My Beauty Matches~My Beauty Matches drives higher conversion rates and life time value for retail partners using machine learning to personalise customer recommendations,Stitch Fix~StitchFix identifies best matching personal stylists for each customer using machine learning to better serve its 2.2m customers,Stitch Fix~StitchFix keeps track of customer behavioural and purchase patterns to predict demand and manage inventory using state transition matrices and Markov chain models

Industry

Consumer Goods And Services

Retail General

Data Sets

Structured / Semi-structured,Images,Text

AI Technologies

ML Task - Action Selection - Reinforcement Learning ,Machine Learning (ML),Traditional AI,ML Task - Prediction - Regression

Potential Vendors