An Automation Framework for Supply Chain Inventory Management using Predictive Business Analytics

Coming down to the concept of Supply Chain Management, defined as a set of tools and techniques which are used all together to manage Inventory at large scale or the macro-economical level. Supply Chain Management deals with leading goods and services and concerning more over the stocks of products and services, generating quality revenue out of it and making minimum losses which are quite negligible. Now when we talk of Supply Chain Management, what comes exactly in our mind is how do we manage Inventory of goods and services. So, for that what we parallelly need is the concepts and ideas of Business Analytics that could help in the field of Supply Chain Management. Now in order to understand Business Analytics and Finance, one needs to understand the concept of dealing time series data, catching many trends out of it, and further moving on understanding the seasonality in the data gathered. With these concepts, one can efficiently work on Business Analytics and can further add to Supply Chain Management. This journal deals with these concepts and speaks explicitly of how Predictive Analytics can be used to predict the sets of Inventory to be kept in stock for the sale so that the firm makes experience quality profit out of the revenue it generates from its goods and services and makes negligible losses. So, here we speak of the algorithm behind Predictive Production and how can be merged with Inventory Precision in order to generate profit out of the revenue earned.