CLOUD-BASED SOLUTION FOR REAL-TIME INVENTORY TRACKING AND MANAGEMENT

Abstract

Numerous organizations struggle to sustain optimal stock levels for MRO inventory. The inflexible framework of conventional inventory management systems fails to furnish organizations with real-time data regarding their inventory levels, potentially detrimentally affecting their overall productivity. The escalating operational costs associated with personnel, rectification of errors, and maintenance of inventory control systems are persistent issues for businesses. Cloud computing can enhance inventory management and resolve numerous challenges encountered in the sector. In addition to seamless updates, cloud computing providers operate behind the scenes to ensure optimal performance and are generally available to address inquiries or provide assistance upon request. Furthermore, additional personnel or specialized hardware are unnecessary on cloud platforms. Most cloud enterprises do not require specialized training for staff to utilize the new product, thus the platform's learning curve has been streamlined, enabling immediate recognition and usage from the first day. The system was developed utilizing the Object-Oriented Design methodology, with the Unified Modeling Language (UML) employed for system modeling. The application was developed with Django and is hosted on Google App Engine, utilizing Google Cloud SQL for database management and Google Cloud Storage for file storage. This paper documents the research on the enhancement of Inventory Management Systems through Cloud Computing and the deployment of a cloud-based inventory management system for Maintenance, Repair, and Operating (MRO) inventory items.