Online Marketplaces

Allow your partners to drive more sales using a smart product recommendation system

Introduction

Alie is an AI-powered Recommendation Engine for online marketplaces that are looking to create a personalized customer experience across websites and applications.

 Alie offers a unique solution to both sellers and consumers. While consumers benefit from finding specific items matching their needs, sellers may enjoy extra revenues from purchases that consumers make. 

Alie’s unique machine learning algorithms are designed to analyze consumer 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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Understand the business context

Understand the Business Context

Automatically catalog all products, categories, and content and their associated metadata to power machine learning algorithms. With the help of machine learning algorithms, Alie provides hyper-accurate recommendations based on what’s new, trending, or relevant to the customers to promote win-back and re-engagement.

Business context

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Use Logical Filters

Use Logical Filters

Use Logical Filters

Alie offers multiple logical conditions to filter the recommendations based on your requirements. For Ex. If you are a multibrand e-commerce store and have a contractual obligation, you can’t display recommendations of competing brands together. In this case, you may use the ‘not equal to brand X’ condition to remove the recommendations of the competing brand. More such conditions & Filters include - Equal to, Greater Than, Less Than, Contains, AND, OR, and XOR

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Cookie Based Recommendations

Cookie Based Recommendations

Cookies are small text files stored in a user's web browser directory. The user’s browsing history becomes part of a database that the website then uses to improve the customer experience. Alie uses a similar principle and serves real-time personalized recommendations to end-users based on their browser cookies. Alie captures user activity & product data from browser cookies to generate relevant recommendations, even for guest users! Sending cookie data to Alie is easy just add a simple javascript code to your website/app, you don’t need any complex database integration.

Cookie Based Recommendations

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Responsive Dashboard

Responsive Dashboard

Responsive Dashboard

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

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Data-driven personalized recommendations

Data-driven Personalized Recommendations

Data is the powerhouse of any recommendation system. However, human capabilities don’t suffice to make sense of the data explosion. Thanks to the information age, with the advent of artificial intelligence businesses now, can analyze and extract actionable insights from huge datasets, especially for streaming media platforms. Alie an AI-driven recommendation engine parse through every minute and hidden factor within your customer data to understand their choices better and provide real-time recommendations.

Data-driven personalized recommendations

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Recommend Products | Engage Shoppers | Provide Personalized User Experience
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