Supply Chains are the network of facilities that not only includes retailers, distributors, transporters, manufacturers but also the customers. Therefore, it is vital to understand the important consumption and wishes of the purchasers as they are the prime nodal of each supply chain as they push various entities to supply and distribute. The availability chain facilities have now learned the importance of collaboration and coordination to fulfil the real demand. The entities also work cohesively to lower down the total cost of the supply chain. However, in the absence of such collaborations; a mismatch between the important and ideal world of supply chain networks occurs. To overcome these gaps this paper consists of application of machine learning techniques in supply chain management. It consists of cases of supply chain management such as demand forecasting, supply forecasting, text analytics, price panning and more to enhance their processes, reduce costs and risk, and increase revenue. It gives us a précis about all the important aspects of economy and how to understand and use them wisely.