AI Recommendation Engine
Predict the most relevant product, property, course or match for every user — combining rules, behavior and business constraints.
The AI Recommendation Engine answers one question for every user, every time: what is the most relevant product, service, property, course, profile, or action for this person right now?
Key use cases
- Product recommendations
- Property recommendations
- Matrimonial matches
- Course recommendations
- Content recommendations
- Financial product recommendations
- Job recommendations
- Service recommendations
- Upselling
- Cross-selling
- Personalized offers
- Next-best-action recommendations
Examples by industry
AI analyzes preferences, profile attributes, search behavior, interests and previous interactions, and recommends the top 10 compatible profiles for the day.
Customer views 2 BHK properties in Thane. AI recommends similar properties, better-value options, and properties likely to match the customer's requirements.
Architecture
A mature recommendation engine combines rules, collaborative signals, semantic similarity, behavioral data and business constraints.
See our AI Business Automation case study for how the Recommendation Engine fits alongside the other five AI products into one platform.