Development of a Modern Online Furniture and Textile Catalogue Platform with Advanced Search and Filtering Capabilities

The client operates an online furniture and textile catalog aggregating data from multiple sources. They face challenges with slow product image loading, limited data filtering capabilities, and low search engine visibility, which hinder customer experience and conversion rates. Their existing system struggles to dynamically handle expanding product data while maintaining performance and user engagement.

A mid-sized retailer specializing in furniture and home textiles seeking to improve their online product catalog's usability, search visibility, and customer engagement.

• Rebuild the web application using modern static site generation technologies to improve load times and SEO performance.
• Implement a flexible and robust data filtering system capable of handling a large and dynamic product catalog.
• Enhance user experience with asynchronous image loading, providing low-resolution previews before high-resolution images load.
• Integrate SEO best practices, including content management and a dedicated blog section, to boost search engine ranking.
• Establish seamless data integration and update mechanisms through automated rebuilds to reflect changes in product data daily.
• Enable detailed user interaction tracking via eCommerce functionalities to gather insights and optimize the platform.

• Product Data Presentation with category-based pages and individual product detail views.
• Advanced multi-criteria filtering system supporting complex queries.
• Asynchronous (lazy) image loading with low-resolution previews for smoother browsing experience.
• Content Management System integration for updating website content, including a blog for content marketing.
• Search engine optimization configurations, including static site generation for fast load times and enhanced visibility.
• User interaction tracking with event-based analytics for eCommerce behaviors and product engagement.

• External product data sources and marketplaces for data aggregation
• Content management platform for dynamic content updates
• Google Tag Manager or equivalent for user activity tracking and analytics
• Automated rebuild scheduling system (e.g., cron jobs) for daily product data updates

• Website must load within 3 seconds under typical user conditions
• Support high concurrency with seamless filtering across large datasets
• Ensure data security and privacy compliance (e.g., GDPR)
• System should support daily automatic data refresh without downtime
• Responsive design for optimal performance across all devices

The implementation is expected to significantly enhance user engagement and satisfaction by delivering faster load times, improved filtering, and a smoother browsing experience. SEO optimizations will increase organic search visibility, leading to higher traffic. Data-driven insights from integrated analytics will enable ongoing platform optimization, ultimately boosting conversions and supporting business growth.