Refit: Revolutionizing Repair Services with Seamless Integration of E-commerce and On-demand Solutions

The paper presents a new on-demand repair solution that integrates e-commerce and repair services with a bidding system. The platform uses machine learning for predicting faults and a real-time bidding mechanism to connect customers with the most suitable vendors, optimizing the cost and quality of repair. It discusses the technical architecture, economic implications, and user-centered enhancements of the platform. The system is evaluated for usability, functionality, portability, and maintainability. It is easy to use, allows productive interaction, is maintainable, and easily accessible. The system can simplify the process of identifying and selecting reliable service providers for device maintenance and repairs, providing a promising solution to an urgent issue. The paper emphasizes the potential for increased efficiency, cost reduction, and improved customer satisfaction, positioning businesses to gain a competitive advantage in the digital economy.