Development of a Fashion Product Comparison and Social Shopping Platform

Customers face difficulty in quickly finding the best prices across multiple local and online fashion retailers. There is limited integration of social sharing features that encourage community-driven fashion discovery. The platform lacks a unified interface for browsing, comparing, and sharing fashion products efficiently, leading to lost sales opportunities and lower user retention.

A mid-sized online retail platform specializing in fashion, providing price comparison, outfit sharing, and social shopping features to enhance user engagement and sales.

• Create a comprehensive web application enabling users to compare prices from over 300 fashion retailers and marketplaces, covering more than four million products.
• Implement a user-centered feature set allowing fashion enthusiasts to create, share, and manage personalized 'Closet' collections and outfit ideas.
• Enable users to earn commissions through affiliate links when their shared outfits lead to purchases.
• Design a scalable and responsive system offering a seamless user experience across devices.
• Achieve a significant reduction in time to find best prices and increase user engagement through social sharing and outfit creation features.

• Advanced indexing and parsing mechanism to crawl and organize product data from multiple retailer websites and marketplaces.
• Complete text search capability for fast product and outfit discovery.
• Classification and categorization of products for effective filtering.
• User account features allowing creation, editing, and sharing of virtual closets and outfit ideas.
• Integration of affiliate links enabling users to earn commissions upon purchase activities driven through their shared content.
• Real-time notifications and social feeds to inspire community engagement.

• Retailer and marketplace APIs for product data aggregation
• Affiliate marketing APIs for commission tracking
• Social media platforms for sharing and user engagement

• System should support high scalability to handle millions of products and large user base.
• Ensure fast search response times to enhance user experience.
• Maintain robust security standards to protect user data and transaction integrity.
• Achieve 99.9% system uptime with optimized infrastructure.

The platform aims to facilitate more efficient price comparisons, enabling users to find the lowest prices for fashion products across multiple sources. Increased social sharing and outfit creation features are expected to boost user engagement, leading to higher retention rates and increased affiliate revenue. The system’s scalable architecture will support rapid growth, with potential to attract a broader user base and expand market share in the online fashion retail space.