Ecommerce personalization drives results when it goes beyond surface-level to understand every shopper’s behavior and intent. Our platform helps you tailor shopping experiences that are immersive and engaging enough to convert by displaying the right product recommendations and personalized content in real-time for the individual shopper.
eComNeo’s personalization engine unifies product data and customer signals, and leverages AI to personalize product discovery, content, and recommendations, delivering personalization at scale.
Our ecommerce platform uses adaptive models and structured product intelligence for delivering hyper-personalized experiences. Even as your catalogs expand, channels grow, and shopper behavior changes, our personalization platform continues to work seamlessly without constant reconfigurations.
Our ecommerce personalization platform is built to support large catalogs, multi-brand projects, global brands, and multi-channel operations. Even as operational complexity increases, the performance, stability, and accuracy of our ecommerce platform remain the same, helping you achieve your business goals.
Our ecommerce personalization engine uses the same rules and logic to display product listings and recommendations, ensuring your customers experience continuity across touch points. This way, customers see relevant products at every stage of their journey, not conflicting or repetitive recommendations.
eComNeo significantly reduces the time and resources required to uninteruptedly deliver ecommerce personalization. With our unified platform, brands can access real-time product data, shopper data, and market insights all from one place to deliver personalized experiences faster and at scale.
We treat data privacy as a core responsibility, not a checkbox. Our personalization engine uses encrypted first-party data to tailor experiences responsibly without overusing customer data. With security and governance built into the platform, teams can personalize with confidence while staying compliant.
Context-aware recommendations powered by product similarity, intent modeling, and real-time behavior.
Search results and product rankings adapt to each shopper’s preferences, behavior, and intent signals.
Segments shoppers automatically based on behavior, buying stage, intent, and engagement levels.
Turns raw behavioral data into actionable insights on what drives discovery, consideration, and purchase.