Introducing the Next Generation in…

Interactive, Real-Time Product Recommendations

Shoppers need help in the moment –
while they are shopping.

ScaleOut InSite™ combines machine learning with interactive filtering to create an intelligent, personal “digital shopping assistant.”

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Watches    Interacts    Analyzes    Infers    Selects    Learns

ScaleOut InSite™ Cloud Service for Product Recommendations

The Power of Inferencing + Interactivity

ScaleOut InSite uses a breakthrough combination of real-time inferencing and interactive filtering to make shopping fast and easy:

  • Delivers dynamic recommendations computed with each click
  • Suggests matching products based on collaborative feedback
  • Helps shoppers understand why products are recommended
  • Lets shoppers immediately refine recommendations
  • Tracks and displays key statistics in real time
  • Enables merchandisers to instantly update strategies
Product Brief
InSite Shopper Diagram

For Shoppers

For Retailers

What Makes ScaleOut InSite Unique?

ScaleOut InSite incorporates a breakthrough, real-time inferencing engine to introspect on shopping behavior. This is combined with interactive product filtering to give shoppers the best possible recommendations:

  • Delivers dynamic recommendations in milliseconds
  • Learns with every click how to improve its recommendations
  • Lets shoppers interact in the moment to express preferences
  • Scales to handle 100s of thousands or more simultaneous shoppers
InSite Click Diagram
How ScaleOut InSite Works

How ScaleOut InSite Fits into Your Site

  • A simple UI component (e.g., a JavaScript beacon) added to your website allows for the exchange of clickstream and product data.
  • A dedicated recommendation container integrated into your site design hosts interactivity and product recommendations.
  • Connects to a cloud-hosted service (SaaS) or on-premise deployment.

ScaleOut Software  the Technology Behind ScaleOut InSite

ScaleOut InSite has changed the game for personalized product recommendations. Its real-time inferencing engine uses machine-learning techniques to watch each customer’s live clickstream, analyze viewed products, infer desired brands, features, prices, and ratings, and then select products that best match the customer’s preferences. With every website click by the shopper, ScaleOut InSite learns and updates its recommendations. It also invites shoppers to interact with its selections, adjust their criteria, and instantly see the results.

This breakthrough new technology is made possible by ScaleOut Software’s industry-leading, scalable, in-memory computing platform, which enables ecommerce websites to generate interactive, dynamic product recommendations personalized for each shopper. ScaleOut InSite’s inferencing engine generates context-aware recommendations within milliseconds. It runs as a cloud service or on-premise and automatically scales to handle 100s of thousands or more simultaneous shoppers.

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