Uses machine learning to deliver accurate and relevant search results based on user queries.
Generates dynamic product suggestions tailored to individual user behavior and preferences.
Provides controls to manually curate product placements, promotions, and search rankings.
Offers detailed insights into search performance, user engagement, and revenue impact.
Facilitates experimentation with different search and recommendation configurations.
Compatible with major e-commerce platforms via APIs and pre-built connectors.
Enhances on-site search functionality with AI to deliver faster and more accurate results, reducing bounce rates.
Helps customers find relevant products through personalized recommendations and curated collections.
Uses cross-sell and upsell suggestions to encourage higher spending per transaction.
Provides a tailored shopping journey with intuitive navigation and relevant content.
Allows marketers to control product placements and promotions dynamically based on performance data.
Supports large e-commerce sites with robust infrastructure and real-time processing capabilities.
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