Virtual Booth

The issue faced by retailers is the occasional inaccuracy of stock predictions, leading to overordering and excess inventory. When the stock reaches its expiration date, it becomes unsellable, causing losses for the retailer. Another common problem is insufficient inventory to meet customer demand. Both situations can result in financial losses for the retailer. To address these issues, the Retail Stock Prediction System (SRSP) has been developed using the Moving Average algorithm. This algorithm considers the stock quantity from the previous month and calculates an average to determine the necessary stock order for the current day. The system, developed as a prototype, involved interviews with three retailers in Sungai Petani to assess the system's requirements and find solutions to their problems, including the use of logbooks and the need for real-time stock forecasting. The SRSP is a web-based application emphasizing security features such as access control, HTTPS, encryption, and data validation. It was developed using PHP, MySQL, and HTML programming. With the establishment of the SRSP, it is hoped to address the issues faced by retailers and improve business operations in the future.