Trekka
Take your right steps
with the right shoe recommendations.
Company
Northeastern University (Acedemic Project)
Timeline
03/2023-05/2023
Role
UIUX Designer
Team up to design an AI-powered shoe recommendation application designed to optimize the shopping journey. By combining foot measurement data with adaptive recommendation algorithms, the app increased conversions by 25%, reduced returns by 20%, and boosted customer engagement by 15%. It prioritizes user trust with secure foot-scanning and privacy-focused features, achieving a 95% approval rate and recognition for both design and functionality.
Team
4 UIUX Designer
63%-72% of Adults do not wear shoes that accommodate their foot dimensions
-National Library of Medicine
Trekka is a recommendation system to guide users towards suitable footwear for their needs and preferences. It measures and compares the dimensions of the user’s feet with their database of sneakers. It uses AI to evaluate recommendations based on similar profiles according to dimensions or preferences.
Project Concept
Why try Trekka?
With AI technology, Trekka can help evaluate foot dimensions and recommend shoes for every occasion. Trekka processes reputable podiatric information and customer reviews to make informed decisions
Who Is The Target User?
Work Flow & Use Case: IN-Person Shoe Shopping
The Problem
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Find the right shoes (comfort and perfect fit) quickly and easily, without spending too much time trying all shoes on.
User Goals
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Allows consumers to obtain accurate and detailed parameters key to their feet, including length, width, arch, and height.
Target Audience
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People who have difficulty finding the best-fitted shoes in the context of their needs and lifestyle.
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People who want to save time trying all shoes in store and don’t want the hassle of returning shoes they bought online.
Value Proposition
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Reduced rates of returns and exchanges, increased customer satisfaction (improved sales conversion rates).
AI Interventions in Shoe Shopping Stages
We created a Journey Map to identify the user's goals and procedures involved in shoe shopping, including Trigger, Search, Evaluation, Selection, and Purchase.
Based on our analysis, we determined that the most suitable stages for AI augmentation are Evaluation and Selection, and the best stage for AI Automation is the Evaluation stage. Therefore, we will focus on the Evaluation and Selection stages for our design project.
Journey Map
(for both users and Trekka’s side)
This journey map shows how much time is involved for both users and Trekka during the 2nd experience. The longer the rectangular, the more time is involved.
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Try on new shoes
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Fill reviews
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Refining the user preferences
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Return process
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Start a new purchase
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Send our surveys
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Analyzing and learning from feedback
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Learning from user activity
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Deal with the return situation
20% of all e-commerce returns were made due to consumers making multiple purchases (such as buying three different sizes of the same shirt to ensure the proper fit of one while returning the two that didn’t work out).
How does Design Work?
Site Mapping
We drafted and refined the sitemap to improve the details regarding the page intent, content, and functionality for each page on Trekka app.
Rough Steps
Find your perfect running shoe match without the hassle of trying them all on
FIND
Start enjoying the comfort and perfect fit you deserve! Don't settle for ill-fitting shoes any longer
MATCH
Effortless scanning for the perfect fit every time
EFFORTLESS
Get personalized shoe recommendations without ever leaving your couch!
PERSONALIZED
Find your perfect running shoe match without the hassle of trying them all on
FEEDBACK
Expect a high level of accuracy and precision, but don't forget to follow the scanning instructions properly
INSTRUCTIONS
It’s based on your unique foot profile and shoe preferences to ensure a reliable and efficient experience every time
EFFORTLESS
Gift/Discount can attract more customers to use our apps and get better experiences
REWARD
Experience
Onboarding Sequence
Users fill out basic information, scan their feet, and are presented with some basic recommendations based on their results.
Scanning Process
How Trekka Helps Improve "Confidence"
The statistical probability of a prediction’s accuracy
Users can visually gauge how their personal profile matches the product’s characteristics, and understand the system’s measurement rubric.
The percentage match is color coded to reflect Trekka’s recommendation.
Take your right steps with the right shoe recommendations.