Recommendations Engine - Data Machines
by People Tech Group Inc
AI powered recommendation engine for superior recommendations with built-in monitoring and analytics
- 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