Funding
Funding not disclosed
Founders
Product
Problem
Consumers often struggle to identify and purchase clothing they see in the real world because traditional online shopping requires manual keyword searches and browsing through multiple brand sites, leading to time-consuming and fragmented discovery.
Solution
Ventana offers a mobile app that leverages image‑recognition technology to let users snap a photo of any apparel and instantly receive a curated list of near‑matching items from various brands. The app presents these results in a personalized feed based on the user’s profile, enabling seamless selection and purchase directly from the device. Additionally, Ventana provides a virtual closet to organize owned items and delivers in‑store recommendations tailored to the shopper’s style, creating a continuous, personalized fashion discovery experience.
Target Audience
Ventana targets fashion‑forward consumers who use smartphones for shopping and prefer a quick, visual way to discover and buy clothing, as well as retailers seeking to engage shoppers with personalized, image‑driven recommendations.
Features
- Photo‑based visual search that scans a captured image and returns near‑match products across multiple brands
- Personalized user profile built via swipe navigation and image inputs, driving tailored product suggestions
- In‑store “WOW” feature that pushes curated content to physical retail locations based on the shopper’s profile
- Virtual closet that organizes saved items by season, brand, function, or style
- Direct purchase flow within the app, allowing users to buy identified items without leaving the platform