Using Deep Learning with state-of-the-art learning algorithms to provide the best solutions for recommendations across your customer touch points: product detail page, search, listings, email. 

Show your users the exact products that they are most likely to buy, at any time.  Our AI-powered recommendation engine understands the user behavior and is able to make accurate predictions on which items to recommend.

Real time recommendation

Real time user behavior logging

Get actionable insights on how your users interact with your website, their purchase history and session behavior.

Statistics & Analytics

Analyze data from all touch points in our analytic tool and get a deeper understanding of the customer experience on your website. View your website’s heat map and analyze your keyword tracking and other statistics.

NextSmarty Recommendations

Top 10 papers to read on recommendation systems

University of California

Presentation at

RecSys 2017

Industry recognition

NextSmarty's state-of-the-art artificial intelligence and machine learning technology is featured by industry leaders & academia. Click here to download our white paper. 


  • Real-time system
  • NodeJS
  • MongoDB/Cassandra
  • TensorFlow
  • GRPC
  • Deep learning algorithm
  • Plug-in play API  
  • No change in the server side
  • Compatible with AWS, MS Azure

User behavior logging system

Recommendation engine



  • Server Load Balancing
  • Applying recommendation services in large scale system

Customers & Partners

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