Artificial Intelligence in Supply Chain Management Market Innovations & Competitive Analysis – Forecast

Supply chain management plays a vital role in the current age of high supply needs, which lead to increase in the degree of competition and demand uncertainty. Supply chain management centers indicate an organization’s ability to integrate and organize processes of gathering materials; transforming them into finished goods; and delivering them to customers. By identifying the growing significance of information with the success of supply chain management, supply chain management experts has invested in technology for better management of information and making better business decisions. Solution providers integrated artificial intelligence (AI) technology in supply chain management to improve productivity and workflow. The term ‘artificial intelligence’ refers to the design of computer systems that can imitate human behavioral patterns by understanding the phenomenon of human intelligence. AI can be divided into sub-fields: artificial neural networks (ANNs), machine learning, expert systems, fuzzy logic, and agent-based systems.

Supply chain management includes purchasing & supply management, demand planning & forecasting, transportation & network design, order picking issues, and customer relationship management. Maintenance is made easy due to the automated processing, as regular repairs and upkeep are required for maintaining equipment. Artificial intelligence gathers information through sensors, which is combined with maintenance data. The best time to repair equipment in an organization is analyzed by the system, which is called predictive maintenance. Inventory can be improved by reducing redundancy with the help of smart storage processing and deploying advanced technology. Further, artificial intelligence in supply management offers to track and maintain database of suppliers and shipping.

Looking for exclusive market insights from business experts? Request a Sample Report

Growing adoption of artificial intelligence in supply chain management is also attributable to factors such as demand for better transparency and visibility in supply chain data and processes. Rising adoption of Big Data is another factor driving for artificial intelligence in supply chain management market for improving consumer services & satisfaction. Further, increasing demand for accuracy and safety in warehouses would drive growth of AI in supply chain management market in coming years.

Lack of awareness about developments in the artificial intelligence technology can be a restraining factor for the artificial intelligence in supply chain management market growth. Demand for using the artificial intelligence technology in data collection and automated systems is likely to increase in the near future and would also provide opportunity for the artificial intelligence in supply chain management market.