AI Use Case
Analyse and predict shrinkage
Monitoring and predicting shrinkage enables retailers and consumer product companies to crack down on potential value loss.
Function
Marketing
Merchandising
Benefits
Cost - Fraud reduction,Risk reduction - Clear decision trails
Case Studies
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
Potential Vendors
Intel
Industry
Consumer Goods And Services
Retail General
Data Sets
Time series,Images,Structured / Semi-structured,Video
AI Technologies
Product - Data Capture - CCTV,ML Task - Prediction - Annotation,ML Task - Prediction - Binary Classification,ML Task - Prediction - Multi-class Classification,Product Type - Vision - Object detection,Product Type - Vision - Object tracking,Machine Learning (ML),ML Task - Prediction - Regression,Model Architecture - Convolutional Neural Network (CNN)