AI Use Case
Optimise product layout in stores
Product layout in stores can be optimised to improve sales yield, customer satisfaction and operational effectiveness.
Function
Marketing
Merchandising
Benefits
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
Industry
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