Expanded product coverage
for e-commerce price matching
Improved crowdsourced translations of product descriptions
Results:
budget reduction while achieving optimal quality
Improved the accuracy of a predictive tool using local shopping patterns
Results:
improvement in app accuracy after data collection, reaching 95%
Enhanced performance of a recommendation engine
Results:
reduction of errors in the product recommender model
Tuned a 3D foot sizing app for better accuracy
Results:
improvement in app accuracy with accelerated time to market