Challenge
Model that recommends ‘new products’ based on product’s popularity and customer’s existing product portfolio.
Our Solution
Developed personalization ML Model from scratch for recommending medical equipment based on user portfolio, users order history, location and usage pattern.
Features
- Cross Selling – recommend new product based on product popularity and customer portfolio
- Must Sell – Recommend based on customer order history
- Association Model – Frequently brought together
- Retention Model – Based on value realization
Benefits
Revenue and sales growth, customer satisfaction, Better inventory planning for production team.
Tech Stack
Python | Tree Algorithm | ML Model | LGBM | FP Growth | FAST API | DevOps | EKS