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
REALIFT
Role
Senior UX / UI Product Designer
Industry
AI & ML in Apparel
Contributions
3D Design / UI Product Design / Animation / UX Research / Data Analysis
Service
SaaS
As Senior Product Designer at Realift, I led UX/UI for a virtual sizing platform used by e-commerce brands to reduce returns and boost buyer confidence. Over my time at Realift as an end-to-end Product Designer, I built onboarding flows, modular UI components, and a guided sizing tool that contributed to a 38.5% decrease in return rates and a 30.5% revenue increase.
As Senior Product Designer at Realift, I led UX/UI for a virtual sizing platform used by e-commerce brands to reduce returns and boost buyer confidence. Over my time at Realift as an end-to-end Product Designer, I built onboarding flows, modular UI components, and a guided sizing tool that contributed to a 38.5% decrease in return rates and a 30.5% revenue increase.
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
REALIFT
REALIFT
REALIFT
NATURAL GROCERS {N} POWER
NATURAL GROCERS {N} POWER
NATURAL GROCERS {N} POWER
MY PANDA
MY PANDA
MY PANDA