Modista offers a visual discovery platform for fashion shoppers, enabling them to find visually similar shoes and handbags across online retailers. Its patented technology uses image processing and metadata to display related items in a real-time, interactive grid, allowing users to refine searches by color, shape, and price.
Funding
Funding not disclosed
Founders
Product
Problem
Consumers seeking specific fashion items, such as shoes and handbags, often struggle to locate visually similar products across disparate online retail inventories. This manual search process is time-consuming and inefficient, hindering discovery of desired styles and price points.
Solution
Modista provides a visual discovery platform that indexes and analyzes product inventories using advanced image processing and text metadata. The system generates a real-time, interactive grid interface displaying visually similar items based on user selections. Users can further refine their search parameters, including color, shape, and price, to efficiently identify desired products from a wide range of retailers. This approach streamlines the fashion discovery process, enabling users to explore related styles and find items that match their aesthetic preferences and budget.
Target Audience
The platform targets online shoppers looking for fashion items, specifically shoes and handbags, who prefer visual discovery and wish to refine their searches by specific attributes like color, shape, and price.
Features
- Visual similarity indexing of product inventories leveraging image processing and text metadata analysis.
- Real-time, patented grid interface for dynamic product display and exploration.
- Refinement filters for color, shape, and price to narrow search results.
- Ability to save and share favorite items via email or direct links.
- Quick search functionality supporting natural language queries for specific product attributes.
- Responsive design that adapts the display of items based on browser window dimensions.