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Sustainable Fashion Shopping Assistant

Fashion

1. Reasons for Recommendation and Brief Description

This intelligent shopping assistant helps users identify and purchase sustainable fashion products from eco-friendly brands. Users set preferences, and the system recommends fashion items based on environmental scores, helping make eco-friendly purchasing decisions.

2. Market Analysis

The sustainable fashion market is growing, with consumers increasingly concerned about brands' environmental responsibility, presenting strong market opportunities.

3. User Experience Map and User Journey Map

1.Registration and preference settings: Users select preferences and environmental standards.
2.Personalized recommendations: The system recommends fashion items meeting environmental standards based on user preferences.
3.Shopping tracking: Users track past shopping records and view environmental impact reports.

4. Monetization Model Design

Free basic product recommendations with paid services for advanced shopping suggestions and detailed brand environmental scores.

5. User Incentive Mechanism Design

Users accumulate points by purchasing eco-friendly products, which can be exchanged for discounts or personalized fashion consulting services.

6. Potential Risk Assessment

Similar sustainable shopping apps exist, needing differentiation through in-depth environmental brand analysis and personalized services.

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