- E-commerce Merchants: Improve product search relevance and upsell with AI recommendations.
- Marketing Teams: Promote seasonal or curated products dynamically to boost sales.
- Customer Experience Managers: Reduce friction in discovery and cross-selling to enhance UX.
- Large Retailers: Scale personalized discovery across extensive multi-category catalogs.
- Developers & IT Teams: Leverage API integration for custom, fully controlled search implementations.
How to Use Raventic?
- Choose Integration Method: Select no-code for fast setup or API for customized control.
- Connect Your Catalog: Integrate your e-commerce platform’s product data easily.
- Deploy Semantic Search & Recommendations: Enable smarter search and tailored product suggestions.
- Analyze & Optimize: Use Raventic Analytics to track performance and refine user experience.
- Semantic Search over Keywords: Understands meaning and intent, not just exact terms.
- Multi-Modal AI Recommendations: Combines semantic and visual data for relevant product suggestions.
- Easy and Fast Setup: No-code implementation available with minimal IT involvement.
- Automated & Adaptive: Continuously retrains models based on catalog and consumer trends.
- Data-Driven Growth: Proven revenue boosts, longer site engagement, and higher average order values.
- Provides truly relevant product discovery beyond traditional search.
- Reduces dead ends for smoother customer shopping journeys.
- Supports large catalogs with scalable, AI-powered personalization.
- Insightful analytics help optimize discovery and conversion strategies.
- More suited for mid-to-large e-commerce sites than very small shops.
- Advanced API integrations may require developer resources.
- Customization options may be overwhelming for non-technical users.
- Ongoing model retraining adds complexity to system management.
Custom
Pricing information is not directly provided.
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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