Fashion API

Comprehensive API reference for Fashion

Retrieve fashion insights such as browser history, style preferences, recent purchases, and fashion-centric user information with hushh Fashion API.

Style Preferences

Make Personalized Fashion Recommendations:

  • Valuable Insights into Users' Unique Style Choices

  • Tailored Fashion Suggestions for Individual Styles

  • Create a platform that resonates with fashion enthusiasts

User Purchase and browser history

Insights into Buying Behaviors:

  • Valuable Data on Preferred Items, Purchase Frequency, Expenditure Habits

  • Develop Personalized, Targeted Product Recommendations

  • Build a Customized Shopping Experience that Fosters Loyalty

Access to Online Activities and Interests:

  • Comprehensive View of User Preferences and Behaviors

  • Create Highly Personalized and Relevant Recommendations

  • Tailor Experience to Align with Individual Interests

To know more about what exact insights we offer, check out our endpoints page.

Browse examples

Here are some things you can build with hushh Fashion!

Digital Closet

Meet Maria! She opens your application and is able to see all the clothes she owns. With the ability to virtually view accurate representations of every single item she owns, she is able to:

  • Share it with friends enabling them to wear complementary clothing at galas and events

  • Pass this on to her personal stylist for a better understanding of her clothing style

  • Use her virtual closet to check if it is on par with current fashion trends

  • Better decide what she needs to buy

  • Keep an inventory of all her clothing

  • Sort by color, fit, style, and more!

Hyper-personalized outfit recommendations

Say hello to Selene! She opens your clothing app on her phone and instantly sees:

  • Outfits that fit her clothing style and budget

  • Similar outfits to the ones she was trying to buy on the internet

  • Accessories and shoes of her size that would complement the outfit

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