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)
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
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
Trax Retail,Intel,Trax Retail,ASI Data Science