Recommendation Engine

Delphi is a Recommendation Engine that personalises Content for every single Customer. Powered by best in class Analytics, the Recommendation is based on past purchases, market stimuli and prevailing context. The Recommendation is rendered real time and is contextually sensitive. Delphi can power personalized Recommendations across any type of Content and Media like Mobile, TV, Broadband , Connected Apps, etc.
Features
- Personalization (N=1)
- Personalized treatment to every subscriber (N=1)
- Sync between Pull or Push channels
- Contextual Targeting
- Based on “Moment of truth”
- Machine learning capabilities to improve effectiveness
- Social Influence
- Wisdoms of Crowd – “What works among the group”
- Social Graphs – “What works in the social network”
- Cloning- What will work among New Users
- Business rules
- Users can define rules
- DND as a service
- DNCTO as a service based on business policies & compliance
- Hybrid Intelligence
- Incorporates predictive analytics& rule based models
- Logic based on past behavior & usage pattern
- Market stimuli based on “what works in the market”
- Decision Support
- Dynamic analysis for decision making
- Real-time reporting
- KPI dashboards

Benefits:
- It helps Customers in discovering Content of their choice
- Delphi helps in transforming storefronts from silos to providing a consistent user experience
- Better monetization of Content Catalogue
- ARPU enhancement through more effective Cross Sell and Up Sell