Tuned e-commerce search
engine with fast scaling
Improved crowdsourced translations of product descriptions.
budget reduction while achieving optimal quality.
Improved the accuracy of a predictive tool using local shopping patterns.
improvement in app accuracy after data collection, reaching 95%.
Expanded product coverage for e-commerce price matching.
better coverage of key products.
Enhanced performance of a recommendation engine.
reduction of errors in the product recommender model.