THE DEVELOPMENT OF ONLINE PERSONAL SHOPPER E-COMMERCE APPLICATIONS FOR KOREAN PRODUCTS (EPERS)
DOI:
https://doi.org/10.35631/AIJBES.725024Keywords:
E-commerce, Korean Products, Online Shopping, Order Management, Personal Shopper, Web ApplicationAbstract
Despite the rapid growth of e-commerce, particularly in international trade, many businesses face substantial issues related to order management, customer satisfaction, and operational efficiency. This is especially true for platforms specialising in niche markets, such as those focusing on Korean products. Personal shoppers, who act as intermediaries in connecting consumers with Korean goods, often encounter difficulties overseeing the complex logistics of order fulfillment processes; hence, this study developed an Online Personal Shopper E-Commerce Application for Korean Products (ePERS) to solve the issue. This web-based platform aims to simplify the order process for customers and administrators/personal shoppers involved in purchasing goods from Korea. The system was developed in response to challenges faced by personal shoppers in managing order processes, particularly the inefficiencies associated with order tracking and order management. The ePERS platform adheres to the System Development Life Cycle (SDLC) by utilising an adapted Waterfall Model comprising six phases: system planning, system analysis, system design, system development, system testing and evaluation, and system documentation. A thorough system testing process was implemented to evaluate the platform's performance by creating and assessing various operational scenarios. This approach aims to provide a robust system that enhances the ordering experience for users and administrators. Initial findings indicate that the ePERS has improved order tracking and overall customer satisfaction. While preliminary results are promising, further evaluation is still essential to assess the system's long-term performance and reliability. Future work should focus on continuous improvement and platform adaptation based on user feedback and market demands.