http://www.iaeme.com/IJMET/index.asp 290 editor@iaeme.com International Journal of Mechanical Engineering and Technology (IJMET) Volume 8, Issue 12, December 2017, pp. 290–294, Article ID: IJMET_08_12_028 Available online at http://www.iaeme.com/IJMET/issues.asp?JType=IJMET&VType=8&IType=12 ISSN Print: 0976-6340 and ISSN Online: 0976-6359 © IAEME Publication Scopus Indexed CONTEMPORARY SUPPLY CHAIN AND INVENTORY DATA MANAGEMENT USING DATA ANALYTICS Dr. S. Sai Satyanarayana Reddy, Ch. Mamatha, Priyadarshini Chatterjee and S Nagarjuna Reddy Department of Computer Science and Engineering; Department of Information Technology, Vardhaman College of Engineering, Hyderabad, India ABSTRACT Inventory data management deals with defining stock for any organization. An inventory data management system is used for guiding the stock management within the organization to reduce the wastage of stock along with the track of records which tend to meet the requirement of end user along with the change in demand which creates a huge response in supply chain management as well advantageous for an organization in production supply time and to keep flexible production schedule. This paper deals with inventory stock data management which concentrates on managing the data in terms of both Volume and Variety of data. As it is concentrated more on data classification and clustering in order to maintain the stock on demand basis which will help to control stock management in an effective way. This paper justifies an approach how data analytics helps in managing the stock data in supply chain environment. Keywords: Inventory management, Stock management, supply chain management, Data analytics. Cite this Article: Dr. S. Sai Satyanarayana Reddy, Ch. Mamatha, Priyadarshini Chatterjee and S Nagarjuna Reddy, Contemporary Supply Chain and Inventory Data Management using Data Analytics, International Journal of Mechanical Engineering and Technology 8(12), 2017, pp. 290–294. http://www.iaeme.com/IJMET/issues.asp?JType=IJMET&VType=8&IType=12