https://store-images.s-microsoft.com/image/apps.12153.3318aedf-4a03-47c4-87ce-bb6a2965e297.04e8d9d1-91ff-4736-a5a4-7a6c502dd896.c70582db-00d1-4f59-af56-cd7e34a6d451

Recommendations Engine - Data Machines

by People Tech Group Inc

AI powered recommendation engine for superior recommendations with built-in monitoring and analytics

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

At a glance

https://store-images.s-microsoft.com/image/apps.40533.3318aedf-4a03-47c4-87ce-bb6a2965e297.04e8d9d1-91ff-4736-a5a4-7a6c502dd896.363490b5-aa12-4b93-afa5-37bee35f1513