Enhancing Customer Personalization for an E-Commerce Platform
A mid-sized e-commerce business specializing in fashion and lifestyle products wanted to enhance its customer personalization and recommendation system to boost conversions.
Industry
Retail & E-Commerce
Services
AI-driven recommendation engine, Machine Learning Models
Tools We used
Python, TensorFlow, AWS Lambda, PostgreSQL, React.js
The Problem with Existing System
Abandoned Carts
The client faced challenges in offering relevant product recommendations, leading to low engagement rates and abandoned carts.
Inefficient System
Their existing rule-based recommendation system was inefficient in handling dynamic customer preferences.
TechKors Solution
TechKors developed an AI-driven recommendation engine using Machine Learning models to analyze customer behavior, purchase history, and browsing patterns. The system was integrated seamlessly into the client’s existing e-commerce platform.
Recommendation System
Developed and deployed a real-time recommendation system powered by collaborative filtering and deep learning algorithms.
Website Performance
Optimized website performance to handle large-scale AI-driven computations without affecting speed.
Customer Segmentation Models
Built customer segmentation models to personalize offers based on user preferences.
Results
Increase Conversion
Improve Response Time
Reduction in Cart Abandonment
Need a Consultation?
Book A Free Consultation Call With Our Experts Today
Your benefits:
- Client-oriented
- Independent
- Competent
- Results-driven
- Problem-solving
- Transparent
What happens next?
We Schedule a call at your convenience
We do a discovery and consulting meeting
We prepare a proposal