ECO WEAR. AI
An AI-powered sustainability web plugin that provides real-time insights on the carbon footprint of fashion items, guiding users toward eco-friendly alternatives while tracking their progress toward sustainable shopping goals.
Role
UX/UI Designer
Platform
Web
Tools
Figma, Zoom, google survey
Project type
B2C/Marketing/ WireFrame
Year
2024
The problem inside fashion industry
The fashion industry is responsible for 10% of global carbon emissions and significant water and energy consumption. Fast fashion, in particular, accelerates this problem by promoting rapid production cycles, overconsumption, and frequent waste.
Project goal
Raise awareness among consumers and the fashion industry, helping users find more sustainable options and reduce their carbon footprint through AI-powered recommendations. The project aims to promote responsible shopping and encourage long-term behavioral changes toward eco-friendly fashion choices.
My role
Crafting the user experience and interface, ensuring the plugin is intuitive, visually appealing, and effectively delivers real-time sustainability insights and eco-friendly shopping recommendations.
Impact
70% of users are likely to select a sustainable product over a traditional one after seeing its lower carbon footprint or environmental impact. 70-80% user retention rate, with users returning to the platform regularly for sustainable shopping guidance.
Key section highlight
Carbon footprint profile
Personalized environmental footprint profile for users. This profile tracks the carbon footprint of the user’s fashion purchases over time, helping them monitor their progress toward more sustainable shopping habits.
Achievement and reward
Allowing users to unlock badges or earn rewards for making sustainable fashion choices and reducing their environmental impact.
AI advisory
Provides personalized, eco-friendly recommendations to help users make environmentally responsible shopping decisions, ensuring they reduce their impact while staying aligned with their style preferences.
Product page
The plugin uses AI to calculate the carbon footprint of each product, provides an environmental rating, and recommends sustainable alternatives to guide eco-friendly shopping decisions.
Brand recommendations
Streamline the process of discovering and purchasing sustainable fashion by directly integrating responsible brands into the platform, ensuring users can easily find greener alternatives.
Final design
Next steps
Data metrics
1. User Engagement Metrics:
• Active Users: Aim for 20-30% month-over-month growth in active users during the first six months post-launch.
• Session Length: Target an average session duration of at least 3-5 minutes per user interaction, indicating meaningful engagement with the plugin.
• User Retention: Achieve a retention rate of 60-70% after the first 3 months. This shows that users find value and continue to return.
2. Sustainability Impact Metrics:
• Sustainable Purchase Rate: Strive for 40-50% of users to adopt sustainable alternatives when recommended by the plugin.
• Carbon Footprint Reduction: Set a goal for users to reduce their fashion-related carbon footprint by an average of 10-15% after using the plugin for six months.
3. Conversion Metrics:
• Sustainable Alternative Conversion: Aim for 30-40% of users to switch to eco-friendly alternatives provided by the plugin.
• Partnership Growth: Increase the number of sustainable brand partnerships by 10-15% every quarter.
4. Business Metrics:
• Revenue Growth: Achieve a 20-25% increase in revenue from affiliate partnerships with sustainable brands over the first six months.
• Market Penetration: Capture 5-10% of the market within the first year in the sustainability fashion plugin niche, based on user adoption and brand partnerships.