The WHAT

Deep Learning with Fit Preference

We identify the fit preference of the shopper with a simple question, which is then compared to our immense database of shoe sizes and feet dimensions. We then apply this to the results of the feet measurements, as well as the last measurements, which enables us to achieve a 95% accurate shoe size recommendation.

Deep Learning with Fit Preference

We identify the fit preference of the shopper with a simple question, which is then compared to our immense database of shoe sizes and feet dimensions. We then apply this to the results of the feet measurements, as well as the last measurements, which enables us to achieve a 95% accurate shoe size recommendation.

CURRENT MENU

REDESIGNED MENU

Listing Launch Agent

ReaLift Mock Up

Role

Product Designer (Solo, Self-initiated Concept)

Industry

AI in Commercial Real Estate

Contributions

UX Research / AI Agent Design / UI Product Design / Interaction Design / Coded Prototyping

Service

Proptech

As a self-initiated concept for Crexi PRO, I designed an AI agent that keeps commercial listings moving after they go live. As the solo product designer, I researched broker pain points, defined the agent's rules and permissions, and built a working coded prototype with a guided tour. The agent checks facts, ranks buyers, catches stalls and drafts seller updates, and the broker approves every step that leaves the building.

CURRENT MENU

REDESIGNED MENU

the CHALLENGE

UNDERSTANDING THE PROBLEM

From a helicopter view, our major concern is finding accurate shoe sizing thus eliminating wasteful returns. When shopping online, shoppers generally stick to a normal size they like to wear and disregard size charts. This creates an inaccurate system of sizing & fit, which in turn, leads to a 15-35% return rate online for footwear merchants, with 80% due to sizing.


MY PROBLEM (S)

Since designing this product from the ground up, I have seen many iterations. Throughout those iterations, some great ideas prevailed and we got rid of some not so great concepts which has led us to our product in use today. A BIG part of my role is to understand consumer behavior so that they, in return, understand how to use our app effectively and efficiently.

UNDERSTANDING THE PROBLEM

From a helicopter view, our major concern is finding accurate shoe sizing thus eliminating wasteful returns. When shopping online, shoppers generally stick to a normal size they like to wear and disregard size charts. This creates an inaccurate system of sizing & fit, which in turn, leads to a 15-35% return rate online for footwear merchants, with 80% due to sizing.


MY PROBLEM (S)

Since designing this product from the ground up, I have seen many iterations. Throughout those iterations, some great ideas prevailed and we got rid of some not so great concepts which has led us to our product in use today. A BIG part of my role is to understand consumer behavior so that they, in return, understand how to use our app effectively and efficiently.

CURRENT MENU

REDESIGNED MENU

CURRENT HOME SCREEN

REDESIGNED HOME SCREEN

CURRENT HOME SCREEN

CURRENT HOME SCREEN

REDESIGNED HOME SCREEN

RELATED UX / UI PROJECTS

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Listing Launch Agent

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Listing Launch Agent

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REALIFT

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REALIFT