Review on Balanced Supply Chain for Better Prediction in Demand

  • Pawan Kumar Patil Mtech Scholar Mechanical Engineering Branch Sri Satya Sai College of Engineering Gandhinagar, Bhopal, 462033
  • Apsad Ali Head Of Department Mechanical Engineering Branch Sri Satya Sai College of Engineering Gandhinagar, Bhopal, 462033

Abstract

Using artificial intelligence (AI) and machine learning to improve demand forecasting is one of the most promising applications of AI for supply chains. The technology “learns” from past experience and can analyze the multitude of complex relationships and factors that influence product demand. This paper discusses various methodologies involved in supply chain management. AI can source and process data from many different areas and forecast future demand based on external factors. This feeds into supply and demand planning and product development. The overall objective of this project was to examine how AI could be applied to SCM and what benefits this could enclose. By interviewing people working with SCM, problems within the area and desired solutions could be mapped.

Published
2018-12-20
How to Cite
Patil, P. K., & Ali, A. (2018). Review on Balanced Supply Chain for Better Prediction in Demand. IJOSTHE, 5(6), 4. Retrieved from https://ijosthe.com/index.php/ojssports/article/view/81