Retail
E-commerce Recommendation Engine
ShopSmart • Created a personalized recommendation system that increased sales by 40%.
5 months
5 engineers
The Challenge
Low conversion rates due to poor product recommendations and user experience.
Our Solution
We developed a collaborative filtering and content-based recommendation system.
Results Achieved
Increased conversion rate by 40%, improved user engagement by 55%, boosted revenue by $3M.
Technologies Used
Python
Apache Spark
MongoDB
Redis
AWS
Project Details
Client
ShopSmart
Industry
Retail
Duration
5 months
Team Size
5 engineers
Related Projects
Explore more projects in the same industry
Retail
Ride Booking App
Built a real-time ride booking system that enables real-time location tracking for both customers and …
View Case Study →
Retail
Real Estate Listings App
Build a Full Stack Real Estate Listings App for IOS and Android with React Native
View Case Study →