Aidaptive runs in the background of eCommerce stores to deliver personalized shopping experiences. It augments sites with automated product recommendations, predictive site search, smart merchandising, and marketing enablement that pushes recommendations to external channels. The self-learning platform uses AI and machine learning to analyze data from multiple sources, match it to customer profiles, and prioritize products with the highest purchase probability. Personalization applies to new and anonymous visitors using real-time behavior, device data, location, and traffic source, as well as returning customers. Users feed data into the predictive engine, which analyzes it to personalize revenue touchpoints like recommendations and search in real-time.
Increases CVR, AOV, and CTR through personalization
Automates insights from data analysis
Scales from SMBs to enterprises
Requires feeding substantial data to build intelligence
Depends on integrations with platforms like Shopify and BigCommerce
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