Supply chain analytics is the application of mathematics, statistics, predictive modeling and machine-learning techniques to find meaningful patterns and knowledge in order and shipment thereby improving forecasting and efficiency ensuring on time delivery and lower cost. Supply chain analytics, which starts with the procurement of raw materials and extends through production, distribution and aftermarket services, depends on effective interaction to integrate the functions of many departments internal and external.The goal of such integration is supply chain visibility: the ability to view data on goods at every step in the supply chain.