Overview
Xtal Search is a generative AI-powered search and product discovery solution tailored for e-commerce retailers. It redefines how customers find products by offering simple, intelligent, and highly personalized search experiences without the need for complex filters. By using natural language and intuitive refinements, Xtal Search transforms site search into an expert-guided conversation, helping businesses boost conversion rates, optimize relevance, and align search results with branding and real-time trends.
Key Features
- Natural Language Product Search: Enables customers to use plain, everyday language to find the right products effortlessly.
- Intuitive Search Refinement: Provides smart additions and reductions without relying on clunky filters.
- Brand-Aligned Search Customization: Allows brands to shape search results to reflect their unique identity and values.
- Real-Time Trend Adaptation: Ensures search results stay updated with the latest market and seasonal trends.
- Product Sequencing Control: Businesses can prioritize product order based on relevance, branding, or revenue goals.
- Revenue Optimization: Fine-tune how products are displayed to boost average order value and sales performance.
- Generative AI Engine: Powers personalized search experiences that simulate expert recommendations.
Pros
- Simplified User Experience: Plain language search removes the friction typically associated with traditional filters.
- Highly Customizable: Brands maintain strong control over how products are discovered and prioritized.
- Future-Proof Technology: Leverages generative AI to stay aligned with evolving customer behavior.
- Revenue-Boosting Potential: Smarter product discovery leads to higher conversions and average basket size.
- Flexible and Scalable: Works for e-commerce retailers across a wide range of industries and catalog sizes.
Cons
- Currently Invite-Only: Xtal Search is still in early rollout phase and available via waitlist.
- Requires Initial Integration Effort: Seamless implementation demands proper alignment with existing e-commerce infrastructure.
- Learning Curve for Optimization: To maximize value, retailers need to actively customize product sequencing and trend parameters.
