Revolutionising Fashion E-commerce through AI-Driven Virtual Try-On Solution
Revolutionising Fashion E-commerce through AI-Driven Virtual Try-On Solution
Have you ever faced the challenge of not being able to try on clothes when shopping online? Opening the package and finding that the color, style, and size are different from what you imagined can be so disappointing! Imagine if there were a system that let you simulate trying on clothes before you buy them—how great would that be? That's why I started this UI/UX journey, to create a solution for this fitting issue that users encounter while shopping.
Have you ever faced the challenge of not being able to try on clothes when shopping online? Opening the package and finding that the color, style, and size are different from what you imagined can be so disappointing! Imagine if there were a system that let you simulate trying on clothes before you buy them—how great would that be? That's why I started this UI/UX journey, to create a solution for this fitting issue that users encounter while shopping.
VRFiT
Project Time Duration
Project Time Duration
10
Weeks
+10
Screens
User Group
Targeting people who had an online shopping experience before with over
1000 times
Targeting people who had an online shopping experience before with over
1000 times
My Role
Concept
Research
Interface
Concept
Research
Interface
Concept
Research
Interface
Prototyping
Interaction
Prototyping
Interaction
Prototyping
Interaction
Challenge That we faced
Return issues
Return issues
Return issues
Impulse buying
Impulse buying
Impulse buying
Fake reviews
Fake reviews
Fake reviews
Lack of personalized shopping cart
Lack of personalized shopping cart
Lack of personalized shopping cart
In this research, several key challenges in shopping were identified, which often lead to user disappointment. Return issues cause consumers to buy multiple items without seeing them first, leading to frequent returns. Impulse buying is influenced by advertising and trends, resulting in unnecessary purchases. Additionally, fake reviews make it hard for consumers to assess product quality, lowering brand trust. Lastly, the lack of a personalized shopping cart makes the selection process difficult, leading to challenges in evaluating shopping choices.
In this research, several key challenges in shopping were identified, which often lead to user disappointment. Return issues cause consumers to buy multiple items without seeing them first, leading to frequent returns. Impulse buying is influenced by advertising and trends, resulting in unnecessary purchases. Additionally, fake reviews make it hard for consumers to assess product quality, lowering brand trust. Lastly, the lack of a personalized shopping cart makes the selection process difficult, leading to challenges in evaluating shopping choices.
In this research, several key challenges in shopping were identified, which often lead to user disappointment. Return issues cause consumers to buy multiple items without seeing them first, leading to frequent returns. Impulse buying is influenced by advertising and trends, resulting in unnecessary purchases. Additionally, fake reviews make it hard for consumers to assess product quality, lowering brand trust. Lastly, the lack of a personalized shopping cart makes the selection process difficult, leading to challenges in evaluating shopping choices.
Research Process and Method
Research Process and Method
Research Process
To understand the challenges users face while shopping, I created two typical user profiles. Amy is a college student who cares about fashion. Her goal is to express herself, but she often struggles with a tight budget and clothes that don’t fit. On the other hand, Andy is a busy project manager looking for professional clothing, but he deals with annoying return processes and worries about product quality.
To understand the challenges users face while shopping, I created two typical user profiles. Amy is a college student who cares about fashion. Her goal is to express herself, but she often struggles with a tight budget and clothes that don’t fit. On the other hand, Andy is a busy project manager looking for professional clothing, but he deals with annoying return processes and worries about product quality.
To understand the challenges users face while shopping, I created two typical user profiles. Amy is a college student who cares about fashion. Her goal is to express herself, but she often struggles with a tight budget and clothes that don’t fit. On the other hand, Andy is a busy project manager looking for professional clothing, but he deals with annoying return processes and worries about product quality.
User Journey Analysis
After learning about these user profiles, I analyzed their shopping journeys. I found that users often feel overwhelmed by too much information when evaluating products, and they have trouble with returns after buying. This makes them anxious and uncertain during the decision-making process, especially when facing a lot of information, which leads to poor choices.
After learning about these user profiles, I analyzed their shopping journeys. I found that users often feel overwhelmed by too much information when evaluating products, and they have trouble with returns after buying. This makes them anxious and uncertain during the decision-making process, especially when facing a lot of information, which leads to poor choices.
After learning about these user profiles, I analyzed their shopping journeys. I found that users often feel overwhelmed by too much information when evaluating products, and they have trouble with returns after buying. This makes them anxious and uncertain during the decision-making process, especially when facing a lot of information, which leads to poor choices.
Insight Findings
Based on market needs, I conducted market research and user interviews. I discovered that 60% of users admit to making impulse purchases, and the virtual fitting room market is expected to grow significantly. These findings show that consumers want personalized shopping experiences, but they feel frustrated due to information overload and challenges with returns, especially when they can’t try on items.
Based on market needs, I conducted market research and user interviews. I discovered that 60% of users admit to making impulse purchases, and the virtual fitting room market is expected to grow significantly. These findings show that consumers want personalized shopping experiences, but they feel frustrated due to information overload and challenges with returns, especially when they can’t try on items.
Based on market needs, I conducted market research and user interviews. I discovered that 60% of users admit to making impulse purchases, and the virtual fitting room market is expected to grow significantly. These findings show that consumers want personalized shopping experiences, but they feel frustrated due to information overload and challenges with returns, especially when they can’t try on items.
Conclusion
In summary, I found that social media influences consumers' impulse buying, and not being able to try on clothes leads to many returns. To improve the user experience, creating an app with a virtual fitting feature is key. This will help Amy and Andy reduce regret and make better choices, leading to a more satisfying shopping experience.
In summary, I found that social media influences consumers' impulse buying, and not being able to try on clothes leads to many returns. To improve the user experience, creating an app with a virtual fitting feature is key. This will help Amy and Andy reduce regret and make better choices, leading to a more satisfying shopping experience.
In summary, I found that social media influences consumers' impulse buying, and not being able to try on clothes leads to many returns. To improve the user experience, creating an app with a virtual fitting feature is key. This will help Amy and Andy reduce regret and make better choices, leading to a more satisfying shopping experience.
Key Solutions and Strategies
Based on the conclusions above, I plan to design an app called VR Fit. This is an innovative virtual fitting feature. It allows users to try on clothes in a personalized way and interact with the community, aiming to improve the overall online shopping experience.
Based on the conclusions above, I plan to design an app called VR Fit. This is an innovative virtual fitting feature. It allows users to try on clothes in a personalized way and interact with the community, aiming to improve the overall online shopping experience.
Based on the conclusions above, I plan to design an app called VR Fit. This is an innovative virtual fitting feature. It allows users to try on clothes in a personalized way and interact with the community, aiming to improve the overall online shopping experience.
Personal Preferences Settings
Personal Preferences Settings
Personal Preferences Settings
I want users to set their personal preferences so they can receive recommendations that match their needs better. This will help reduce impulse buying.
I want users to set their personal preferences so they can receive recommendations that match their needs better. This will help reduce impulse buying.
I want users to set their personal preferences so they can receive recommendations that match their needs better. This will help reduce impulse buying.
Personalized Wardrobe
Personalized Wardrobe
Personalized Wardrobe
I will provide a feature similar to a shopping cart, but with added organization and management tools. This will allow users to group and save their favorite items, making it easier for them to choose.
I will provide a feature similar to a shopping cart, but with added organization and management tools. This will allow users to group and save their favorite items, making it easier for them to choose.
I will provide a feature similar to a shopping cart, but with added organization and management tools. This will allow users to group and save their favorite items, making it easier for them to choose.
Virtual Try-On Technology
Virtual Try-On Technology
Virtual Try-On Technology
Users can use AR technology to try on items in the virtual wardrobe and share their results with the community. This will give them real feedback and help reduce the chances of returns.
Users can use AR technology to try on items in the virtual wardrobe and share their results with the community. This will give them real feedback and help reduce the chances of returns.
Users can use AR technology to try on items in the virtual wardrobe and share their results with the community. This will give them real feedback and help reduce the chances of returns.
Customer Community
Customer Community
Customer Community
Users can share their try-on photos in the community and ask for opinions from friends or other users. This will help lower the impact of fake reviews.
Users can share their try-on photos in the community and ask for opinions from friends or other users. This will help lower the impact of fake reviews.
Users can share their try-on photos in the community and ask for opinions from friends or other users. This will help lower the impact of fake reviews.
Mapping User Interaction and Features
After creating the solution, I designed the task process and information architecture. The task process starts when users open the app, log in, and set up their accounts. They then enter the personal style area to access their private wardrobe, try on clothes virtually, and interact with the community. The information architecture includes key features like the dashboard, private wardrobe, virtual try-on, and community interaction. These designs help me understand user needs better. I believe they will improve the shopping experience, making it easier for users to choose products and reducing returns from not being able to try items on.
After creating the solution, I designed the task process and information architecture. The task process starts when users open the app, log in, and set up their accounts. They then enter the personal style area to access their private wardrobe, try on clothes virtually, and interact with the community. The information architecture includes key features like the dashboard, private wardrobe, virtual try-on, and community interaction. These designs help me understand user needs better. I believe they will improve the shopping experience, making it easier for users to choose products and reducing returns from not being able to try items on.
Prototyping and Design System
Prototyping and Design System
Prototyping and Design System
LOw fidelity
I created low-fidelity prototypes. These sketches help me think quickly about the layout and features, allowing me to see how users interact. The purpose of making low-fidelity prototypes is to find problems early and prepare for high-fidelity design.
I created low-fidelity prototypes. These sketches help me think quickly about the layout and features, allowing me to see how users interact. The purpose of making low-fidelity prototypes is to find problems early and prepare for high-fidelity design.
Design System
The design system includes the colors, fonts, buttons, and icons I chose. These elements ensure visual consistency in the app and improve the user experience. The goal of building this system is to make future designs more efficient, ensuring all elements work well together and making user interactions smoother.
The design system includes the colors, fonts, buttons, and icons I chose. These elements ensure visual consistency in the app and improve the user experience. The goal of building this system is to make future designs more efficient, ensuring all elements work well together and making user interactions smoother.
Final Design
Personal Preferences Settings
Personal Preferences Settings
After the user logs in, a series of questions will be asked to the user. This can accurately recommend users’ preferred styles
After the user logs in, a series of questions will be asked to the user. This can accurately recommend users’ preferred styles
Challenge addressed
Impulse buying
Impulse buying
Impulse buying
This feature tackles the issue of Impulse buying. By allowing users to answer questions about their style and color preferences, the app provides tailored recommendations that align with individual tastes.
This feature tackles the issue of Impulse buying. By allowing users to answer questions about their style and color preferences, the app provides tailored recommendations that align with individual tastes.
Expected Results
This feature aims to boost customer shopping satisfaction by helping users make better choices. It’s designed to cut down on impulse buying and create a more thoughtful shopping experience. Plus, I expect to see a drop in return rates as users find items they really like.
This feature aims to boost customer shopping satisfaction by helping users make better choices. It’s designed to cut down on impulse buying and create a more thoughtful shopping experience. Plus, I expect to see a drop in return rates as users find items they really like.
Personalized Wardrobe
I will provide a feature similar to a shopping cart, but with added organization and management tools. This will allow users to group and save their favorite items, making it easier for them to choose.
I will provide a feature similar to a shopping cart, but with added organization and management tools. This will allow users to group and save their favorite items, making it easier for them to choose.
Challenge addressed
Lack of personalized shopping cart
Lack of personalized shopping cart
Lack of personalized shopping cart
The Personalized Wardrobe feature is designed to solve the issue of disorganized shopping experiences. Users can create custom groups for their favorite items and easily manage their wardrobe, making it simpler to keep track of their preferred styles.
The Personalized Wardrobe feature is designed to solve the issue of disorganized shopping experiences. Users can create custom groups for their favorite items and easily manage their wardrobe, making it simpler to keep track of their preferred styles.
Expected Results
This feature helps users think carefully before checking out and offers more styling inspiration. By improving decision-making efficiency, users can make more informed choices, which reduces the chances of disappointment in their shopping experience. Additionally, it enhances style Visualization, allowing users to see how different items pair together, ultimately leading to greater satisfaction with their purchases.
This feature helps users think carefully before checking out and offers more styling inspiration. By improving decision-making efficiency, users can make more informed choices, which reduces the chances of disappointment in their shopping experience. Additionally, it enhances style Visualization, allowing users to see how different items pair together, ultimately leading to greater satisfaction with their purchases.
add Product
Add Product
Adding this product to wardrobe
Adding this product to wardrobe
create group name
Users can create groups for the products they have joined and modify their names.
create group name
Users can create groups for the products they have joined and modify their names.
Auto matching style
Auto matching style
Users can change to another mode from the Wardrobe. That is the automatic matching function. Users can see the overall effect of automatic matching to decide whether this style is suitable for them
Users can change to another mode from the Wardrobe. That is the automatic matching function. Users can see the overall effect of automatic matching to decide whether this style is suitable for them
Virtual Try-On Technology
Virtual
Try-On Technology
Users can use AR technology to try on items in the virtual wardrobe and share their results with the community. This will give them real feedback and help reduce the chances of returns.
Users can use AR technology to try on items in the virtual wardrobe and share their results with the community. This will give them real feedback and help reduce the chances of returns.
Challenge addressed
Return issues
Return issues
Return issues
The VR Try-On feature directly addresses the issue of inability to try on clothes, allowing users to simulate trying on different items from their wardrobe.
The VR Try-On feature directly addresses the issue of inability to try on clothes, allowing users to simulate trying on different items from their wardrobe.
Expected Results
This feature helps users think carefully before checking out and offers more styling inspiration. By improving decision-making efficiency, users can make more informed choices, which reduces the chances of disappointment in their shopping experience. Additionally, it enhances style Visualization, allowing users to see how different items pair together, ultimately leading to greater satisfaction with their purchases.
This feature helps users think carefully before checking out and offers more styling inspiration. By improving decision-making efficiency, users can make more informed choices, which reduces the chances of disappointment in their shopping experience. Additionally, it enhances style Visualization, allowing users to see how different items pair together, ultimately leading to greater satisfaction with their purchases.
try-on record
Try-on record
After completing the simulated fitting, the user can record the fitting results
After completing the simulated fitting, the user can record the fitting results
VR Try-on
Through VR try-on, users can simulate trying on clothes and change the clothes in the wardrobe through the following options
VR Try-on
Through VR try-on, users can simulate trying on clothes and change the clothes in the wardrobe through the following options
Customer Community
Users can share their try-on photos in the community and ask for opinions from friends or other users. This will help lower the impact of fake reviews.
Users can share their try-on photos in the community and ask for opinions from friends or other users. This will help lower the impact of fake reviews.
Feature Overview
Fake reviews
Fake reviews
Fake reviews
The Customer Community allows users to engage with each other by asking questions about styles and try-on results. This interaction helps users gain insights from others, making their shopping experience more collaborative.
The Customer Community allows users to engage with each other by asking questions about styles and try-on results. This interaction helps users gain insights from others, making their shopping experience more collaborative.
Expected Results
Confidence in Choices: Users can gather opinions on their fitting results, reducing uncertainty in their purchase decisions.
Encouragement of Engagement: By facilitating discussions and voting on outfits, the community fosters a sense of belonging and shared interest.
Reduced Impulse Buying: Access to collective feedback encourages users to think critically about their choices, helping to minimize impulsive purchases.
Confidence in Choices: Users can gather opinions on their fitting results, reducing uncertainty in their purchase decisions.
Encouragement of Engagement: By facilitating discussions and voting on outfits, the community fosters a sense of belonging and shared interest.
Reduced Impulse Buying: Access to collective feedback encourages users to think critically about their choices, helping to minimize impulsive purchases.
Ask question
Ask question
Users can ask questions here
Users can ask questions here
voting
After users record the fittings, they can choose to post the fitting results in the community and then add the first-vote direction, allowing people to vote.
voting
After users record the fittings, they can choose to post the fitting results in the community and then add the first-vote direction, allowing people to vote.
Future Directions: Virtual Product Purchases
I plan to introduce a virtual clothing purchase feature that lets users buy digital products after trying them on. This will give users more options and allow them to use these virtual clothes as filters on social media to show off their style.
I plan to introduce a virtual clothing purchase feature that lets users buy digital products after trying them on. This will give users more options and allow them to use these virtual clothes as filters on social media to show off their style.
Why Do This?
Eco-Friendly Image:
Virtual clothes don’t need physical materials, which helps reduce our environmental impact and boosts our sustainable brand image.
Virtual clothes don’t need physical materials, which helps reduce our environmental impact and boosts our sustainable brand image.
Meeting Market Demand:
Virtual clothes don’t need physical materials, which helps reduce our environmental impact and boosts our sustainMore and more consumers are interested in digital fashion, so offering this choice can attract that audience.able brand image.
Virtual clothes don’t need physical materials, which helps reduce our environmental impact and boosts our sustainMore and more consumers are interested in digital fashion, so offering this choice can attract that audience.able brand image.
How We’ll Achieve It
Digital Design:
We’ll work with designers and brands to create stylish virtual clothing that fits current trends.
We’ll work with designers and brands to create stylish virtual clothing that fits current trends.
Platform Integration:
We’ll integrate virtual clothing into our app so users can easily choose and buy.
We’ll integrate virtual clothing into our app so users can easily choose and buy.
Expected Benefits
This plan will help make our product more appealing, increase user loyalty, and boost sales. By offering virtual clothing purchases, we create a new shopping experience that lets users enjoy fashion while also contributing to sustainability.
This plan will help make our product more appealing, increase user loyalty, and boost sales. By offering virtual clothing purchases, we create a new shopping experience that lets users enjoy fashion while also contributing to sustainability.