Ecommerce Platforms

Engage shoppers and increase conversions with AI-powered personalized recommendations

Introduction

Personalization is increasingly important for eCommerce businesses seeking to - engage shoppers, increase repeat purchases, drive sales and improve conversions.

Alie is an AI-powered Recommendation Engine for eCommerce platforms that are looking to create a personalized user experience across their websites and applications. Alie’s unique machine learning algorithms are designed to analyze user data and recommend personalized content in real-time with impeccable accuracy. Alie helps you differentiate your user’s experience through personalized content.

Highlights

Highlights

  • Improve Conversions
  • Recommend Using a Variety of Algorithms
  • Provide a Hyper-personalized Experience
  • Improve Cart Value
  • Customer Segmentation
  • Optimize and Consume Shopper Data
  • Intuitive Dashboard

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Improve Conversions

Improve Conversions

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.

Improve Conversions

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Recommend using a_variety of Algorithms

Recommend Using a Variety of Algorithms

Recommend Using a Variety of Algorithms

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.

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Provide a hyper-personalized experience

Provide a Hyper-personalized Experience

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.

Provide hyper-personalized-experience

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Improve Cart Value

Improve Cart Value

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.

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Customer Segmentation

Customer Segmentation

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.

Customer-segmentation

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Optimize and Consume Shopper Data

Optimize and Consume Shopper Data

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.

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Intuitive Dashboard

Intuitive Dashboard

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.

Intuitive Dashboard

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Recommend Products | Engage Shoppers | Provide Personalized User Experience
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