## 🚀 Feature Request: AI-Powered Personalized Product Recommendations

[KolaSailaja]

Is your feature request related to a problem? Please describe.

Currently, all users are presented with the same product catalog regardless of their browsing behavior or interests. This makes product discovery less personalized and may reduce user engagement, especially for returning customers.

Describe the solution you'd like

Implement an AI-Powered Personalized Product Recommendation system that suggests products based on a user's browsing activity and interests.

The recommendation engine could consider factors such as:

• Recently viewed products
• Frequently viewed categories
• Purchase history (if available)
• Similar product attributes (brand, category, tags, price range)
• Product popularity and trending items

Recommended products can be displayed in sections such as:

• Recommended for You
• Because You Viewed This
• You May Also Like
• Trending in Your Interests

Describe alternatives you've considered

A simple "Related Products" section based only on category matching is easier to implement but offers limited personalization. A recommendation engine that analyzes user behavior provides a more engaging and tailored shopping experience.

Additional context

Possible implementation:

• Store user browsing history and interactions.

• Create a recommendation service that calculates product relevance.

• Add endpoints such as:

  • GET /api/recommendations
  • GET /api/products/:id/recommendations

• Cache recommendations for improved performance.

• Fall back to trending or popular products for new users with no browsing history.

Benefits

• Improves product discovery.
• Increases user engagement and retention.
• Encourages users to explore more products.
• Enhances the overall shopping experience through personalization.
• Provides a scalable foundation for future recommendation enhancements.

[arcgod-design]

Hi @niharika-mente! I'd love to work on this feature.

My approach:

• Track user behavior signals (viewed, purchased, added to cart) and store them per user
• Build a recommendation engine using collaborative filtering or content-based filtering (based on categories, tags, price range)
• Expose a /recommendations API endpoint that returns personalized products for logged-in users
• Fall back to popular/trending products for guest users
• Display recommendations on the homepage and product detail pages

Could you please assign this to me (@arcgod-design)? Thank you!

[KolaSailaja]

@niharika-mente Could you please assign me this opened . As I opened this issue I would you start working on if it aligns with the project goals.