Recommendation Engine Development – Personalize Every Customer Experience
Shivah Web Tech builds custom recommendation engines that deliver hyper-personalized experiences to every user, increasing engagement, average order value, and customer lifetime value. Recommendation systems power Amazon, Netflix, and Spotify — now you can have the same technology for your business.
Types of Recommendation Systems We Build
1. Product Recommendation Systems
Increase average order value and product discovery with AI-powered product recommendations — “Customers also bought,” “Recommended for you,” and “Complete the look” — tailored to each shopper’s preferences.
2. Content Recommendation Systems
Keep visitors engaged longer with personalized content recommendations that surface the most relevant articles, videos, or courses based on each user’s reading history and interests.
3. Collaborative Filtering
Recommendations based on the behavior of similar users — “People like you also liked” — one of the most powerful recommendation techniques for eCommerce and media platforms.
4. Content-Based Filtering
Recommendations based on the attributes of items a user has previously engaged with — perfect for niche catalogs and platforms with limited user data.
5. Hybrid Recommendation Systems
The most accurate recommendations come from combining multiple techniques. We build hybrid systems that leverage both collaborative and content-based filtering for maximum relevance.
6. Real-Time Personalization
Dynamic website personalization that adapts content, offers, and product listings in real-time based on individual visitor behavior within a session.
Business Impact
- ✅ Amazon generates 35% of revenue from recommendations
- ✅ Netflix saves $1B/year through personalized recommendations
- ✅ Typical eCommerce stores see 10-30% lift in revenue
Build Your Recommendation Engine
Contact Shivah Web Tech for a free consultation. Recommendation engine projects start from ₹1,50,000.
