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Aidaptive is a predictive intelligence platform designed for ecommerce and hospitality brands. It applies machine learning models to first-party customer and behavioral data to deliver individualized product recommendations, personalized search results, and targeted merchandising. The platform aims to automate personalization at scale without requiring dedicated data science resources, connecting to existing commerce stacks to ingest transaction and browsing data. Aidaptive's engine continuously learns from customer interactions to refine predictions over time, with the stated goal of improving conversion rates, average order value, and overall revenue. It positions itself as an enterprise-grade solution made accessible to mid-market operators, offering dashboards to track the impact of personalization efforts. The platform covers use cases including personalized product recommendations, predictive search, and automated audience segmentation for marketing campaigns.

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Target audience and deployment

  • SMB
  • Mid-market
  • Enterprise
  • Cloud
  • API

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Key features

Predictive product recommendationsPersonalized on-site searchAutomated merchandisingAudience segmentationMachine learning personalization engineRevenue impact dashboardFirst-party data integrationContinuous model learning

Use cases

  • Personalize product recommendations
  • Optimize on-site search results
  • Automate merchandising decisions
  • Segment audiences for targeted marketing
  • Increase average order value

Best for

  • Ecommerce managers who need to personalize the shopping experience at scale without a data science team
  • Hospitality operators who need to increase direct bookings through individualized offers
  • Marketing teams who need to improve campaign targeting using predictive customer segmentation
  • Merchandising teams who need to automate product placement and ranking decisions

Integrations

E-commerce

Shopify, BigCommerce, WooCommerce