Designing Inventory system Utilizing Neural Network in the prediction of Machine Learning-based Design

Inventory management system is a process involved in tracking the goods throughout the whole supply chain from the moment of purchasing to production sales at the end. Microsoft Excel spreadsheet is a good example of Inventory management software. An inventory management system is required to precisely track the status of our business, otherwise without such a system the business would often run into situations where it would be either understocked or overstocked. The system also informs about the number of raw reactants required to produce the final product and if the ingredients are available or not. There are way too many inventory management system for us to choose from, ranging from simple to comprehensive solutions. The machine learning aspect along with the very important deep learning aspect has been very important in designing how it can be structured with a real ease and mainly with a good credibility and faster solutions. The main approach which is followed by the authors is to use the deep learning techniques such as recurrent neural networks, convolution neural network and artificial neural network and find out the best accuracy and also prove the best algorithm for the following problem statement.