Hardware Inventory Management System Using IoT

Hardware inventory management plays a pivotal role in warehouse goods management for several industrial activities. Hardware inventory management helps to track warehouse goods, ensures that there is an adequate amount of goods left back in the inventory, and prevents overstock or shortage of stocks...

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Published in2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP) pp. 1 - 4
Main Authors Karri, Abhilash, Rao, Sharath S., Ashoka, D. V, B, Nethravathi, V, Sahana, V, Vishnu B
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.12.2022
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Summary:Hardware inventory management plays a pivotal role in warehouse goods management for several industrial activities. Hardware inventory management helps to track warehouse goods, ensures that there is an adequate amount of goods left back in the inventory, and prevents overstock or shortage of stocks. This paper discusses the above procedure to be implemented with the help of IoT. In this study, the purpose of the application was to serve withless wiring, fewer components, and to make the system be available at a low cost. This system uses NodeMCU ESP8266 module which is an open-source platform having built in Wi-Fi-module feature, which is best suited for IoT related applications. The tracking and stock details were automatically updated on a management systemconnected to the same network as that of the developed system. A detailed graphical representation of the stock availability in a warehouse can be viewed. From the graph, the inventory manager can decide whether to increase the stock quantity or not. The methods that are currently being followed are more human- dependent and not framed with modern technology. Therefore, inventory details are not always accurate, which may also be one of the reasons why a business experiences loss. With this system, the entire process is made more automated, with less human intervention, thereby providing accurate values for inventory goods.
DOI:10.1109/CCIP57447.2022.10058647