Case Study: Walmart achieves 99% SKU mapping accuracy with Versori

Uploads Merchant Catalogues With 98% Taxonomy Accuracy

The customer, World's Largest Retailer (Walmart), faced significant challenges with its marketplace onboarding process for third-party sellers. Manual product data mapping to their extensive taxonomy was causing low accuracy rates, with only 20% of SKUs accepted on the first try, and a 70% merchant drop-off rate. This resource-heavy process was taking over 80 days per merchant, hindering their ability to scale.

Versori implemented its SKU mapping solution, which uses AI to instantly and accurately map product data. This reduced the complex, manual workflow to a simple, three-click process for merchants. The solution drastically decreased onboarding timelines by 70%, achieving a 99% accuracy rate in SKU mapping and allowing the world's largest retailer to successfully onboard 4,000 merchants.