Application of ArcMAP Software in Merchandise Replenishment Warning System

During peak hours, retail employees might be busy and unable to promptly fill the void on shelves and racks, which often leads to customers being unable to complete their purchases as they expect. To tackle this problem, we combine image recognition software with the application of ArcMAP on the product replenishment alert system. The study aims to promptly alert retail employees of the vacancies, addressing the challenges of the traditional manual replenishment process. With technological advances, the retail industry has undergone significant transformation through the development of shelf-scanning robots and the establishment of automated management techniques. The phenomenon represents the global value replenishment systems and automated management techniques, both domestically and internationally. Most of the current research on the replenishment system focuses on robot development. Nonetheless, in this research, we combine a camera and the program Free Video to JPG Converter, ensuring merchandise is well-stocked, well-maintained, and properly rotated on the shelves. The camera can accurately detect the trajectory and vacancies of goods. The program, Free Video to JPG Converter, processes the identification and recognition, converting the collected MP4 files to recognized JPEG files, and then imports them to the ArcMAP program. It analyzes the features of the items, and then identifies and recognizes the images. The function of this system is to meet the immediacy, reduce labor costs, and avoid profit loss caused by blind spots in merchandise display. As a result, consumers have access to their purchases. With intelligent technology, this research is not only intended to increase economic value but also create a win-win situation for both the customer and the store.