Retail Recommendation Engine Demo

The following modules and products were used in the creation of this demo:

  • Data Hub Module
  • Data Integration Module

The following other data was used in the creation of this demo:

  • Kaggle Data Set


Demo Description

This presentation and demo shows a retail recommendation engine based on a technique called collaborative recommendations. Real-time browsing and purchase data are used to dynamically update recommendations as your prospects and customers interact with you. The demo is built on Spectrum Data Hub which has an underlying graph database. Collaborative filtering allows a single model to manage personalized targeted retail recommendations even when you have a million or more products on offer.

Click the image to view a video walkthrough of the demo, or click here

To access the demo itself please visit the DCS Tablet Demo.

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