Description
Optimise product layout in stores
Linked Case Studies
Case Study
Coca-Cola
Coca-Cola Hellenic covers 3.6X more stores by automating in-store inventory audits using image recognition
Case Study
UK Registered Charity
A UK registered charity predicts visitor flow to its building with Markov chain algorithms
Case Study
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
Case Study
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
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Source: kaggle.com · Editor: original-sdg