Connect every shopper with the products they seek through intelligent, data-driven personalization.
Today’s shoppers don’t just want relevant results, they expect search that remembers their preferences, anticipates their needs, and adapts in real time. Yet many retailers still rely on static search experiences that treat every visitor the same.
Without personalization, opportunities for repeat purchases and brand loyalty are lost. Retailers need a smarter way to leverage behavioral signals, purchase history, and brand affinity to make each interaction feel one-of-a-kind.
FindTuner personalizes search and navigation for every shopper by learning from clickstream, purchase patterns, and engagement data. Its AI and machine learning models identify the brands, categories, and products most likely to resonate and automatically boosts them in search results, recommendations, and merchandising zones.
Merchandisers can complement automation with curated control, spotlighting key items or repeat-buy products that drive long-term loyalty. The result is a seamless, individualized experience that improves relevance, accelerates discovery, and keeps customers coming back.
Personalized search that drives loyalty, boosts conversion, and increases average order value by connecting every shopper with the products that matter most.
Use FindTuner AutoTune’s personalized eCommerce search machine learning models to automatically boost products the shopper frequently purchases to the top of the results. Guarantee these products are seen when they visit the site. Immediately visualize and take advantage of any data to dynamically rank results, positively influence conversion and create the perfect mix of products.
Elevate and spotlight products that have been purchased in the past to create a personalized eCommerce Search experiences. Featured products can be configured using AutoTune data, merchandisers can curate the experience, or any combination.
Guarantee brand and category facets are consistently seen and readily available. Personalize facets and facet values based on shopper behavior. Improve product discovery with no manual effort.