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AI Use Case

Optimise product layout in stores

Product layout in stores can be optimised to improve sales yield, customer satisfaction and operational effectiveness.





Revenue - Customer proposition optimisation (content)

Case Studies

Henkel~Henkel uplifts its revenue by 2.1% by tracking distribution and share of shelf at granular SKU level leveraging visual recognition and sales data,Levi Strauss & Company~Levi Strauss & Company achieves near 100% accuracy in tracking in-store inventory and identifies optimal product placement using sensors and visual recognition ,Coca-Cola~Coca-Cola Hellenic covers 3.6X more stores by automating in-store inventory audits using image recognition,UK Registered Charity~A UK registered charity predicts visitor flow to its building with Markov chain algorithms


Consumer Goods And Services

Retail General

Data Sets

Images,Time series

AI Technologies

ML Task - Grouping - Clustering,Machine Learning (ML),Product Type - Vision ,ML Task - Prediction - Annotation,ML Task - Prediction - Binary Classification,ML Task - Prediction - Multi-class Classification,Product - Data Capture - CCTV

Potential Vendors

Trax Retail,Intel,Trax Retail,ASI Data Science

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