Acta Scientific Computer Sciences

Short Communication Volume 3 Issue 9

Recurrent Neural Network (RNN) in Inventory Management System

Debapratim Das Dawn*

Department of Computer Science, India

*Corresponding Author: Debapratim Das Dawn, Department of Computer Science, India.

Received: July 27, 2021; Published: August 18, 2021

Inventory management systems are the use of control systems and information technology to reduce the need for human work in the production of goods and services. Mechanization is the provision of equipment to assist human operators in the muscular needs of work, while automation also reduces human sensitivity and emotional needs. Automation plays an increasingly important role in the world economy and in everyday experience. Automation often plays an important role and, in competition with the world, is the key to success. In this way, the working attitude of the people has changed a lot. Today time and money are very important. So, we need to make the existing manual system completely automated and thus comes the idea of computerization. One of the inventory management systems. This includes various sections like product description, customer details, inventory control etc.

Citation

Citation: Debapratim Das Dawn. “Recurrent Neural Network (RNN) in Inventory Management System". Acta Scientific Computer Sciences 3.9 (2021): 52.

Copyright

Copyright: © 2021 Debapratim Das Dawn. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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