Personalized Product Discovery Engine
Uses AI to recommend products based on user behavior, purchase history, or preferences—driving engagement, upsells, and increased average cart value per session
Key features
Enhance shopping with AI-driven discovery engines that personalize recommendations, improve conversions, and boost customer satisfaction:
Recommendation Engine
Suggest products dynamically based on behavior
Personalize shopping experiences with AI engines that recommend products from user browsing and purchase history
Contextual Search
Provide smart search results tailored to user intent
Deliver accurate results by analyzing context, preferences, and intent for highly relevant product discovery
Behavioral Analytics
Track and analyze user behavior for better targeting
Gain insights into customer journeys by monitoring activity and preferences to optimize discovery strategies
Multi-Channel Support
Enable discovery across apps, sites, and marketplaces
Ensure consistent recommendations across websites, apps, and marketplaces for a seamless omnichannel experience
Personalization Rules
Apply business rules to guide product recommendations
Align discovery results with business goals by embedding rules into personalized recommendation engines
A/B Testing
Test discovery strategies with A/B experiments
Optimize recommendation outcomes by experimenting with different discovery strategies and tracking conversions
