PersonalizerAI Recommendations

Leverage the same cutting edge research that powers models used by Google Search, Youtube and Google Shopping to deliver personalized recommendations that suit each customer’s tastes and preferences across all your touch points.

Recommendations are based on user behavior and activities like views, clicks, and purchases, so that every prediction result is personalized in real time. They can correct for bias and excel in scenarios with long-tail products and cold-start users and items.

Here’s how PersonalizerAI will impact your business:

• Sell to First time visitors

  Ensure that even new visitors are shown relevant recommendations from the first touchpoint and guide them in their shopping journey.

• Sell More. Maximize Revenue Potential

  Offer first-time users and loyal customers alike high-quality recommendations via web, mobile, email, and more, anywhere in their journey from homepage to shopping cart to order confirmation and beyond.

• Increase Average Order Value and Average Time On Site

  Maximize your stores’s upsell and cross-sell capabilities by displaying relevant personalized recommendations at all touch points. Increase average time on site by recommending products dynamically in real time.

• Increase Customer Lifetime Value and Improve Customer Experience

  Surface highly relevant personalized products from store’s massive catalog. The easier you make it to find relevant products on the website, the more likely customers are to buy more.

• Earn Customer Trust and Boost Loyalty

  Recommend products based on real time buyer intent, and unique characteristics and preferences.

Recommendation models provided:

1. Others You May Like

This recommendation predicts the next product that a user is most likely to engage or convert with. Usually placed on Product Page.

2. Recommended for You

This recommendation predicts the next product that a user is most likely to purchase, based on the history of that user and contextual information of requests. Usually placed on Home Page and Category Page.

3. Frequently Bought Together

This recommendation predicts items frequently bought together for a specific product within the same shopping session. Usually placed on Product Page and Shopping Cart.

4. Similar Items

This recommendation predicts other products that have mostly similar attributes to the product being considered. Usually placed on Product Page.

5. Recently Viewed

This displays the products the user recently interacted with, with the most recent products first. Usually placed on Product Page.

World-class support

• 24/7 customer support via email and chat.
• Retail AI Setup and access to AI specialist.
• Widget installation and customization.