Master Group
2017
Project Description
Master Group aimed to enhance product search and recommend related products to customers browsing their website’s catalog of over 60,000 items.
The existing catalog required visitors to adjust search criteria with each visit, often leading to redundant and irrelevant results, particularly for secondary accessories.
To address this, we implemented a purchase prediction algorithm, optimizing the search experience for loyal customers and improving product recommendations. This approach:
- Predicted preferred products and maximized customer journey support.
- Automated content integration, prioritizing featured products.
- Enhanced customer engagement and loyalty through predictive content in emails.
- Improved catalog usability by implementing a photo detection algorithm, displaying only products with images (notably, 60% of the products initially lacked photos).
Production Highlights
- Synchronized products with real-time updates during import.
- Adapted to an outdated version of Infor.
- Integrated auto-completion for keyword extraction.
- Collaborated with multiple vendors to add Blowfish encryption in the Java system.
- Ensured product prices were obtained independently of the initial synchronization.
Technologies
eFyerMaker, MatcherAnalytics and other proprietary technologies
