Supply chains are widely used in todays world to meet up the requirementsofmarketsanduserdemands.Herethenewtechnology is being used which will integrate Internet of things and Software denednetworksothattraditionalsupplychainmanagementprocess can be enhanced. An application is developed that will maintain data transparency between retailer and manufacturer where manufacturer can continuously monitor the entire network activities. By integrating SDN and IoT, signicant quality of service improvements and greater efciency is achieved which in turn lead to lower transport cost and reliable services to end user over a period of time.

In numerous IoT applications, large number of sensors and data receivers sends information to server. The servers gather information that reaches huge amount in short time. In such cases, IoT application can face the challenge of real time managing and extracting client useful information from the whole data stored on server. The main challenge faced in global supply chain management (SCM) is the development of decision making models as the huge amount of data stored on server. Here the approach is designed considering the sensor data set for analyzing all factors involved, and depending upon the analyzed data prediction of the future trade scenario is done with the help of linear regression. This helps in any manufacturing company for decisions making, systematizing their products/services, managing inventories, Prices of the product and warehousing arrangement.