Mobile Apps
AI-Driven Shopping Bookmark & Recommendation App
Launched an AI-powered bookmarking platform that lifted user retention by 45% and increased average basket size by 25%.
Client: Retail Technology
ShoppingAI DevelopmentAutomation
Overview
We partnered with Faive to build a modular shopping app—users save products, get AI-driven recommendations, and enjoy automated purchase reminders and logistics.
The Challenge
Consumers struggled to track wishlist items across sites, and generic recommendation engines failed to reflect personal taste.
Our Solution
- Developed a browser/mobile bookmarking extension for product capture
- Trained ML models for personalized product recommendations
- Integrated with logistics APIs for automated restock and price-drop alerts
- Architected a microservices backend for scalability
- Built analytics dashboard for user behavior insights
- Trained ML models for personalized product recommendations
- Integrated with logistics APIs for automated restock and price-drop alerts
- Architected a microservices backend for scalability
- Built analytics dashboard for user behavior insights
Results
20%
Conversion rate increase
60%
Recommendation CTR
25%
Average basket size up
45%
User retention increased
Our AI-first design gave Faive a standout shopping platform—driving deeper engagement, higher cart values, and streamlined automation.
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