Product Recommendations improve conversions! Look at your own real-life experience. You might have purchased a product based on a recommendation made by your friend or a family member. In the case of an ecommerce store, you don’t have real people to recommend a product, but you can use recommendation engines like Alie that work on a similar principle and recommend the items which are already purchased liked, bought, or reviewed by the users with similar traits.

Alie lets you choose the machine learning (ML) algorithm suitable for your business needs. Each algorithm is designed to provide a unique experience for users who interact with your platform regularly. We have listed many algorithms which have their own purpose, you can leverage them based on the choices and preferences of your end-users. Few of our listed algorithms include - Other User’s Choice, Most Viewed, Recently Added, Similar Item Recommendation.

Today consumers want to engage with brands that can - Instantly identify them, have immediate access to data about their likes and dislikes, understand their problems, and provide the solution for them. Recommendation Engines like Alie today helping Ecommerce brands in providing hyper-personalized experiences by churning all the data collected from their platforms and showing the most relevant and personalized recommendations to consumers.

You can find a number of ways when you google “how to improve the cart value?”, but one point that would be common across the search results is - “use the recommendation system that shows recommendations which complement or add value to the products already added in the cart”. Well! This is true, In fact, it’s the most effective way to improve customer cart values.

Categorize your customers into smaller groups of people that have something in common and that makes giving recommendations and offers easier. Identify the customers having similar characteristics such as - geography, age, search patterns, purchase patterns, likes-dislikes, etc.

Automatically catalog all products, categories, content, and their associated metadata to power machine learning algorithms. Capture referring source, viewer ratings, viewing history, etc. Catalog Information about the categories, year of release, title, genres, and more.

Manage your entire platform across all devices with the most easy-to-use and out-of-the-box dashboard around! Day-to-day recommendations, insightful analytics, faster billing – get them all on one dashboard at your fingertips.