Achieving 1:1 Personalization With AI

How to make the user shopping experience truly personal?
Fast Simon dives deep into its AI and Machine Learning algorithm to address each customer’s unique preferences.

  • Understand the story behind the users’ purchase intent. What is their specific personal style, along with their past behavior of searches, product views and product purchases
  • Fast Simon is refining the search and adding more data to its layers, such as geography, referring site, device, time and day, weather, etc
  • Control what you want to sell – The final layer of user personalization is based on the merchant merchandising rules
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Tapping into Customer intent

Our customer searched and bought “Nike t-shirt”. Should we:

  • Show them more t-shirts?
  • Show them more Nike products?
  • Show them products in the ‘active wear’ category?
  • Show them recently bought together products by other customers?

Understanding the customer intent is crucial!

Fast Simon machine learning algorithm is constantly adjusting itself to customer’s intention in order to deliver the best results along with a superb shopping experience. Our AB testing tool is also here to help in learning what will be the best outcome to your store.

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Get Personal With Product Upsell and Cross-Sell

Show relevant, category based results to your shoppers.
When a shopper add-to-cart a t-shirt, you can upsell with a matching pair of pants, or when they plan to buy a radio-controlled boat, show them batteries and chargers that fit that boat.

Real-time micro-segmentation with AI-powered predictive personalization is also a part of the product search, autocomplete and smart collections. Get the most relevant, tailor-made results in no-time.

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