Best Product Recommendation Engines for Amazon Web Services (AWS)

Find and compare the best Product Recommendation Engines for Amazon Web Services (AWS) in 2025

Use the comparison tool below to compare the top Product Recommendation Engines for Amazon Web Services (AWS) on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Comarch Loyalty Marketing Platform Reviews
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    The Comarch Loyalty Marketing Platform is an innovative solution created to elevate customer loyalty and engagement through dynamic loyalty programs. Designed for businesses across various sectors, this platform enables organizations to cultivate stronger connections with their customers by leveraging data insights and automation. With the Comarch platform, companies can create targeted campaigns that resonate with individual preferences, fostering increased customer retention and brand allegiance. Key functionalities include marketing automation for efficient campaign management, pre-configured customer journeys that ensure smooth interactions, and advanced personalization tools that cater to unique customer behaviors. Furthermore, the platform uses AI-driven analytics to provide deep insights into customer trends. Additional features, such as fraud detection and customizable rewards systems, empower companies to deliver meaningful incentives that encourage repeat business. With 30 years of expertise in executing the most complex loyalty initiatives, Comarch supports some of the world’s most recognized brands, such as Auchan, BP, Carrefour, Heathrow Airport, JetBlue Airlines, Galeries Lafayette, and True Digital.
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    Predixit Reviews

    Predixit

    Predixit

    €49 per month
    Turn your traffic data into actionable data. You can store browsing behavior and classify users into similar behavior groups. You can identify your users to reward, motivate, and get back. Also, you can find out which brands, categories, and offers have high conversion potential. Start by creating a page with browsing history, listing products purchased or seen recently. Remember to remind abandoned products that have not been purchased. Last but not least, remind all users to do this, even anonymous or non-registered. AI uses our predictive technology to provide a personalized shopping experience. Based on the shopper's preferences and intent, display personalized product recommendations. You can manage multiple recommendation campaigns. Different algorithms can be used to personalize your shopping experience, depending on browsing history and nonclick behavior.
  • 3
    Lily AI Reviews
    Lily AI improves the shopping experience by injecting consumer-centric words throughout the retail ecosystem. This maximizes technology investments and can deliver upwards to a nine-figure revenue boost. Lily AI transforms qualitative product attributes into a universal mathematical language that is centered on the customer, with unprecedented accuracy. This results in a scale and depth of attribution no other solution can match. Fuel your existing ecommerce platform, search engine and PIM tools, SEO/SEM, and SEO/SEM with the most accurate and deepest product attribution data available in commerce. Over 20,000 attributes are included.
  • 4
    EPICA Reviews
    EPICA and Microsoft have partnered to move their prediction platform to Azure, Microsoft’s cloud platform. This gives our clients and suppliers secure and instant access to EPICA's data-science tools. Companies use Sophia® AI and the EPICA Platform to predict and outperform their competition. Our easy implementation process makes it easy to integrate your existing technology stack. You can detect patterns and predict your customer's next move by making highly accurate predictions about their purchase intentions. Find out the likelihood of each shopper purchasing a product or action. In return for their data, create the personalized experience they expect. Your store and/or your ads campaigns should offer a cohesive and immersive experience. The quality and quantity of data that the AI engine can learn from is key to accurate predictions.
  • 5
    DataSentics Reviews
    Data science and machine learning can have a real impact upon organizations. We are an AI product studio made up of 100 data scientists and engineers. Our experience includes both the agile world of digital startups and major international corporations. We don't stop at nice dashboards and slides. The result that counts, however, is an automated data solution in production integrated within a real process. We don't report clickers, but data scientists and engineers. We are focused on producing data science solutions in cloud with high standards for CI and automation. We aim to be the most exciting and rewarding place to work in Central Europe by attracting the best data scientists and engineers. Allowing them to leverage our collective expertise to identify and iterate on the most promising data driven opportunities for our clients as well as our own products.
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