The 'Blend' App Helps Users Find Products That Suit Their Style and Budget
Michael Hemsworth — September 28, 2023 — Tech
References: techcrunch
The 'Blend' app is a generative artificial intelligence (AI) tool for consumers to use as a way to pinpoint the best clothing options for their particular style, but also budget. The UK-based startup leverages AI technology to provide users with a feed for them to scroll through that's populated with images and descriptions pulled from a variety of different retailers and eCommerce brands. The app will collect data based on how the user interacts with the app including what they like, what they save, what they share and more to build a picture of who they are to provide a more personalized experience.
The 'Blend' app prioritizes a dynamic AI model that will provide outfit recommendations on a continuous basis that suit the needs of the user.
Image Credit: Blend
The 'Blend' app prioritizes a dynamic AI model that will provide outfit recommendations on a continuous basis that suit the needs of the user.
Image Credit: Blend
Trend Themes
1. Generative Artificial Intelligence - The 'Blend' app uses generative AI to curate personalized clothing recommendations based on user preferences and budget.
2. Personalized Shopping Experience - The 'Blend' app tailors its feed of product images and descriptions to each user's individual preferences and style.
3. Data-driven Fashion Discovery - The 'Blend' app collects user data to build a comprehensive profile and offer more accurate fashion recommendations.
Industry Implications
1. Fashion Retail - The 'Blend' app disrupts the fashion retail industry by utilizing AI to help users find clothing options that align with their style and budget.
2. Ecommerce - The 'Blend' app introduces a new level of personalized shopping experience in the eCommerce industry by leveraging AI to curate custom feeds.
3. Artificial Intelligence - The 'Blend' app demonstrates the potential for AI to revolutionize the fashion discovery process and improve user satisfaction.
7.5
Score
Popularity
Activity
Freshness