Best Product Recommendation Engines for Elasticsearch

Find and compare the best Product Recommendation Engines for Elasticsearch in 2025

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

  • 1
    Rierino Reviews
    Top Pick
    Rierino is the next backbone platform for high-growth ecommerce and digital transformation. It offers unlimited scale and flexibility to change, evolve, and expand your tech stack with its hypercomposable architecture. Every component is equipped with native intelligence features that automate, accelerate or support your decision processes. It is the optimal mix of Big Tech skills, startup agility and brains at a fraction of the cost and effort. With its immense adaptability, Rierino will complement and enhance your existing assets and not reinvent them. With an intuitive UI and real-time unified intelligence, Rierino allows you to manage everything from creating hyper-personal experiences to orchestrating omnichannel operations. With plug & play components that can be customized to meet your needs, you can create your ideal platform within weeks. We support your choice of deployment model, whether it's on-premise, private or public cloud.
  • 2
    Raptor Services Reviews
    Integrate your customer's interactions across various platforms and channels to ensure a personalized experience regardless of the point of contact. By utilizing Raptor’s Merchandising Center, you can transform your recommendation modules into valuable advertising spaces on your selected channels. This strategy allows you to enhance visibility for specific products, strategically placing them within the customer’s view to merge relevance with promotion. Moreover, you can offer real-time personalized product suggestions that contribute to a distinctive shopping experience. As a result, this approach can lead to an increase in basket size, order value, revenue per visit, and an overall enhancement of the customer experience. Additionally, sending highly personalized emails featuring product recommendations tailored to each individual can further strengthen customer engagement and loyalty.
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