Visual search built for fashion stores
Lykdat is an AI-driven platform tailored to online fashion. It combines image recognition with natural language search so shoppers can locate products even if they don’t know the exact terms. The system returns visually relevant, contextual matches rather than relying solely on keyword hits, improving the quality of search results and the shopper’s experience.
Core capabilities
- Personalized item suggestions based on images and text queries.
- Cross-modal search that understands both photos and typed descriptions.
- Context-aware ranking so results reflect style, color, and occasion.
- Fast indexing for large catalogs to keep search results up to date.
Intelligent tagging and catalog management
Lykdat automatically generates descriptive tags for product images, building a rich, searchable inventory without manual labeling. This automated metadata creation helps present items with more complete descriptions and supports faceted search and filtering.
- Auto-generated keywords attached to images for easier discovery.
- A growing, structured product database that reduces cataloging time.
Business outcomes for retailers
Integrating Lykdat into an online store can lead to measurable retail benefits. Improved search relevance and personalized recommendations boost engagement and conversion, while automation cuts down on operational workload.
- Increased customer engagement and higher conversion rates.
- Reduced manual effort in product description and catalog upkeep.
- Better customer retention driven by more relevant discovery.
- Streamlined operations that free teams to focus on strategy and merchandising.
Alternative option and deployment
If you’re exploring other vendors, a paid legal-research tool like Casetext has been suggested as an alternative in some comparisons, though its primary market differs. Lykdat is designed for straightforward integration with common e-commerce platforms, enabling quick deployment without major changes to existing storefronts.
- Quick plug-ins and API support for common e-commerce systems.
- Notes on alternatives: evaluate specialist providers by industry fit and pricing.
Technical
- Web App
- Subscription