The Impact of Machine Learning (ML) Optimization of supply chain management domain

Kiranmai M.V.S.V.; Panduro-Ramirez J.; Dhyani A.; Reddy G.S.; Al-Taee M.; Alazzam M.B. · 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023 (2023) · DOI: 10.1109/icacite57410.2023.10182817

Resumen

The paper explores the impact of machine learning on supply chain optimization and its potential to improve profitability. The study highlights the benefits of utilizing machine learning algorithms in areas such as demand forecasting, inventory management, and logistics optimization. The results show that incorporating machine learning techniques can lead to significant improvements in accuracy, speed, and efficiency in these areas, thereby leading to an increase in profitability. The research also points out the limitations of traditional approaches and the need for continuous improvement and adaptation of machine learning models. The paper concludes by emphasizing the potential of machine learning in driving transformative change in the supply chain and its critical role in enabling organizations to stay ahead in a rapidly changing business environment.

Instituciones: Universidad Tecnológica del Perú