Reinvent Amazon’s “Luxury Shop” Experience

 

Amazon is a globally known everything brand, this retail giant has been finding opportunities in different industries, adding product categories that cover every aspect of our lives. The company’s expanding fashion offering is fascinating commentators, attracting a large number of shoppers. Higher conversion can also drive up Prime membership rates even further. Tho, Amazon still has a long way to go to become a destination for fashionable clothing. Amazon's website and mobile app experience are over-crowded, which can leave users feeling unloved. Fashion customers require a different “product display”. Better photography, a more artistic taste in the overall look and feel. At the same time, a compelling user experience can help drive conversions. Trendy customers expect their online experience to be as stylish, sophisticated and personalized as possible.

 
 

Interviews

To find out more about my potential users, I put together a list of questions and conducted several interviews with people fitting the profile of my target group. The questions focus on Amazon fashion first impression, accessibility, product search ability to help me identify any pain points that users were running into.

 

Empathize

To find out more about my potential users, I put together a list of questions and conducted several interviews with people fitting the profile of my target group. The questions focus on Amazon fashion first impression, accessibility, product search ability to help me identify any pain points that users were running into.

 

What we’ve accomplished:

The ‘Filtering’ experience is re-evaluated base on 4 rules: available filter, filter logic, filter UI, and applied filter state. The user’s filtering experience is a central part of the product browsing experience. When done well, filters can empower users to narrow down a product catalog of thousands to just a handful of products that match their unique purchasing preferences. Improve product finding abilities,

1.

Provide Category-specific filters

 

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3.

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