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Product Recommendation

  • Personalizing the shopping experience is proven to increase a customer’s likelihood to buy.
  • Automatically extract predictive behavioral patterns using historical shopping and browsing data.
  • This application uses rich patterns to automatically recommend products your customers are interested in purchasing.
  • Improve click-through rate (CTR) and increase revenue.
GET APP Feature Labs makes it easy to connect to your data and deploy

How it Works


This application is ready to be deployed to provide value right away.

To get started, you just need to map your data to the required inputs. From there, Feature Labs’ data science automation will take care of the rest. The application will automatically

  • Extract historical examples to learn from
  • Identify predictive signal using Deep Feature Synthesis
  • Select and optimize a machine learning model for deployment

This application is not a black box. After the initial integration is made, it is simple for a developer to add additional data sources, tweaking the prediction problem, and deeply inspect how each step in the process works.

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