Donde acts like your own personal shopper app, helping you locate the perfect dress in half the time.
Whether you're searching for an LBD or an evening gown, dress shopping is both time-consuming and difficult. Even the term "dress shopping" will cause some women to sweat profusely. Since extreme perspiration is not cute, it only makes sense to simplify the dress shopping process.
Donde operates as a search engine for images, instead of text, searching its inventory to find a dress that's exactly what you're looking for. Founder Liat Zakay explains, "It makes sense for us to use text to search for things that are made out of words, but when it comes to products, that needs to change."
Personal Shopper Apps
The Donde App Will Help You Find the Perfect Dress
Trend Themes
1. Image-based Product Search - Developing a search engine that relies on images instead of text presents an opportunity for streamlining the search process and improving consumer satisfaction.
2. Personalized Shopping Assistants - Creating personal shopping assistant apps that help consumers locate products specific to their needs and preferences can simplify the shopping experience and increase customer loyalty.
3. Visual Product Recommendations - Generating product recommendations based on visual attributes instead of text descriptions can enhance the accuracy of suggestions and increase consumer trust in the app's capabilities.
Industry Implications
1. Fashion Retail - Creating image-based search engines and personalized shopping assistant apps for fashion retailers can enhance the customer experience and increase sales.
2. E-commerce - Developing visual product recommendation algorithms for e-commerce platforms can improve the accuracy of product suggestions and increase conversion rates.
3. App Development - Creating personalized shopping assistant apps using innovative technologies such as image-based search and visual recommendations can lead to disruptive innovation in the app development industry.