Innovative Custom Clothing Platform with Advanced Size Generation and E-commerce Integration

The client faces difficulties in providing affordable, well-fitting custom clothing options to a broad customer base due to outdated frontend architecture and inefficient sizing methods. They aim to modernize their platform to improve user experience, streamline operations, and eliminate inventory waste associated with traditional mass production processes.

A mid-sized retail company specializing in custom-made apparel seeking to enhance its online sales platform and reduce production waste.

• Re-design and develop a cohesive, modern frontend interface compatible with evolving web technologies to provide a seamless and intuitive customer experience.
• Integrate a machine learning-powered size detection engine that uses minimal user inputs (e.g., height, weight, age, shoe size) to generate highly accurate, perfect-fitting garment sizes with 99% precision.
• Enable the platform to store and recognize customer sizes for repeat business, enhancing personalized shopping and reducing return rates.
• Develop a user-friendly backend CMS to facilitate easy management of product catalogues, orders, and customer data.
• Implement an eCommerce platform that offers a broad product variety, straightforward customization, and excellent mobile responsiveness to boost sales and customer satisfaction.
• Support online orders without the need for inventory storage, thereby minimizing waste and supporting sustainability goals.

• Modern frontend development using Vue.js for dynamic, interactive user experiences.
• Backend system powered by a robust framework to manage product data, user accounts, and orders.
• Integration of a machine learning size detection engine utilizing user measurements to produce personalized garment sizes with at least 99% accuracy.
• Customer size saving and recognition for repeat purchases to streamline user experience.
• Advanced product customization options with visual product designers.
• Mobile-first responsive design to ensure excellent performance on all devices.
• Backend CMS for seamless catalog and order management.
• Zero inventory waste through made-to-order production process, emphasizing sustainability.

• Machine learning models for size detection and continual learning
• Customer measurement data for personalized size generation
• Content Management System (CMS) for product and order management
• Payment gateways and shipping providers for complete eCommerce operations

• Platform must support at least 10,000 concurrent users with minimal latency.
• Ensure data security and user privacy compliance (e.g., GDPR).
• System should be easily scalable to accommodate growth in user base and product catalog.
• Backend response times should maintain under 2 seconds for key transactions.

The new platform aims to significantly improve the customer shopping experience, leading to increased sales and customer retention. The advanced size detection engine is expected to achieve a 99% fit accuracy, reducing product returns. By eliminating inventory waste through made-to-order production, the client will enhance sustainability. Overall, the platform is projected to streamline operations, boost revenue, and establish a more competitive market position.