Smart Supply Chain Management Using Machine Learning Algorithms

Abstract

Currently, supply chains are the most widely used in marketing around the world to increase productivity and to add more features to make supply chain management easy to handle. For smart supply chain management, the main focus is on analyzing a product demand and supply chain with fraud suspects of customers and delays in product delivery. RFID can be further extended to authenticate items used to track and manage products.

Demand forecasting is a crucial part of any company or supply chain. It aims at predicting and estimating the future demand of products to help in better decision-making and fraud detection is useful because it allows businesses to identify and prevent unauthorized activities. With the integration of machine learning and the IoT, supply chain management can effectively increase the demand for productivity.