PRODUCT INFORMATION SYSTEM FOR ATE DIOSA'S STATION
Keywords:
product information system, inventory management, manual processes, operational efficiency, product lookup, accuracy, workload reduction, ate diosa’s station, system modernization.Abstract
Ate Diosa's Station is an expanding retail business that offers a wide variety of products such as clothing, ID lanyards, chibi figurines, stickers, and exclusive limited-edition items. As customer demand continues to grow, manual handling of inventory, sales, and order processing has proven to be inefficient and error-prone due to the lack of a centralized system. To overcome these issues, a product information system has been implemented to deliver a secure, streamlined, and user-friendly solution for effective product management. The researchers employed the Waterfall Model (SDLC) as their framework, following sequential phases: planning, analysis, design, development, testing, implementation, and maintenance. To gather the system requirements for Ate Diosa’s Station, they conducted interviews and market research. With the collected data, a comprehensive system design was created to define the platform’s main features and functionalities. Java was utilized for coding and debugging, while XAMPP was used to handle the database management during development. The Product Information System (PIS) greatly enhances the management of products and inventory tracking at Ate Diosa’s Station. It allows administrators to efficiently gather, update, and classify product information, removing the delays and inaccuracies caused by manual data handling. With clear product categorization, items are systematically organized, improving ease of access and streamlining the process of locating and coordinating products. The Product Information System (PIS) successfully tackles the issues experienced by Ate Diosa’s Station, where manual inventory management was inefficient and error-prone, causing delays. The new system modernizes product search and inventory tracking, delivering greater accuracy and speed, which in turn lowers the workload and boosts operational efficiency.