Challenges the product is addressing

Providing contextual recommendations to users of technology platforms such eCommerce apps, Content apps, eLearning apps, Social Media apps and any other applications that will benefit for continued user engagement
Eliminate the overhead of implementing traditional complex Machine Learning based implementations
Ability to provide Real Time recommendations based on user actions (Ex. Providing recommendations upon login/ When product is viewed/ Performing a Search Action/ During Support Interactions)
Avoid delayed or irrelevant recommendations by learning from User Activity in as little time as 15 minutes to provide immediate recommendations for active users.

How the challenges are being addressed
- By integrating real-time data ingestion to continuously gather all relevant user activity data
- Automatically building a database consisting of all objects suitable for recommendations
- Multi-channel support – consistent user experience across all audiences/implementations
- Fully secure, physically, and logically isolated, with data encrypted in transit
  
  Product Highlights
  - Build your own recommendation engine in minutes
  - Recommend products, videos, music, books, job postings, etc. based on user activity
  - Multi-Tenant platform that can enable B2B applications to provision automatic recommendations to multiple clients with their own secure Recommendation AI model
  - Self learning model to provide Context based recommendations or Action based recommendations
  - Real-Time observability and governance to observe recommendations being provided to users in real time or analyse historic data to review past recommendations
  - Ability to correlate recommendations with user activity to assess effectiveness of recommendations (Additional Feature)
  - Simplified integration with your data and user experiences
  - Multi-lingual support
  - Self-learning, continually enhanced recommendations
  - Fast, operates at scale and in real-time
  - Built-in monitoring dashboards and insights

Recommendations Engine - Data Machines

by People Tech Group Inc