Alie ingests user activity data from any website, platform, or apps to provide real-time recommendations. Alie can Integrate with Shopify, Magento, WordPress, Zoomla, Drupal, Wix, Weebly, Woocommerce, or Blogger, etc.
Alie automatically analyses the consumer data, behavioral data, and product-related data to show personalized recommendations for each customer. You can add separate sections on your home/product/cart pages that display an auto-generated list of product recommendations.
Alie lets you choose the machine learning (ML) algorithms suitable for your business needs. Each algorithm is designed to provide a unique experience for users who interact with your system regularly. A few of our listed algorithms include - Other User’s Choice, Most Purchased, Trending, Recently Added, Similar Items.
Alie’s allows you to add a layer of filters to generate customized recommendations. You can configure multiple filters to fine-tune recommendations and provide customized recommendations. For example, An eCommerce store might consider recommending only highly rated products to some of its highest-paying customers.
Alie allows you to analyze and review the final output (recommendations) in readable JSON format even before you integrate it on your website or app. It allows you to explore recommendations, see if they are in sync with the input data and algorithm you selected. Reviewing final recommendations is very simple, just log into Alie CMS, create a new project, add data using APIs or JS Plugins, select the algorithm, and click on View Output (Recommendations).
Recommend Products | Engage Shoppers | Provide Personalized User Experience
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