Intelligent automation system of the railway company’s purchasing activity based on artificial neural networks

Abstract

A person is responsible for quality control of the purchase forecast of commercial enterprises, which entails a number of certain consequences. In this regard, we decided to create an intelligent system that will determine the quality of the forecast. Such a system will be a human assistant in deciding on the quality of the forecast. The system will also be able, if necessary, to indicate the necessary adjustments for its forecasting method. As part of this work, a software product will be created that will determine the quality of the created trade procurement plan, and, if necessary, help the user adjust the forecasting method used by the outlet. The aim of the work is to create an intelligent procurement system that will generate its forecast using a neural network, and then determine the forecast error using XYZ analysis.