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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

Potential Vendors

Trax Retail,Intel,Trax Retail,ASI Data Science


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

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