Developed a chrome extension for mobile web browsers that extract on-site data, mapping to product information from third-party sites. That data was processed using Random Forrest and NLP classification models to output lower price product comparisons. This new approach leverages a real-time human-in-the-loop system to maximize accuracy.
Case study
Augmented Ecommerce Sell Through
Developed machine learning real-time dynamic algorithm using random forest technique based on customer profile and history to predict most impactful product placement adjacent to primary product being searched.
