Predictive Analytics and Automation in Supply Chain Management with Internet of Things (IoT)
Predictive analytics and automation with the Internet of Things (IoT) is a growing trend in supply chain management. The generation permits cost-efficient operations and organizations to reveal and control their supply chain systems. The combination of predictive analytics algorithms and automatic structures can offer insights into supply chain operations, expect adjustments in customer demands, and allow agencies to plan better and put things together for the future. IoT can also be used to screen supply chain techniques, become aware of regions for development, and proactively manipulate potential disruptions. U sing IoT -based analytics and automation, advantages that include increased visibility in supply chain operations, elevated customer satisfaction, and cost-effective supply chain processes may be achieved. Furthermore, predictive analytics and automation can help improve choice-making with actual-time records insights and ensure everyone's tactics are optimized for efficient performance.
Authors
- P. Selvi Rajendran (ORCID: https://orcid.org/0000-0002-8739-1379)
- Karthik Raj Kumar Yesodha
- Ketan Gupta (ORCID: https://orcid.org/0000-0002-2953-0385)
- N. Yuvaraj
- Manoj Bhalerao
Institutions
- Caterpillar (United States) (US)
- University of the Cumberlands (US)
Publication Details
- Published
- 2025-02-21
- DOI
- https://doi.org/10.1109/icicacs65178.2025.10968125
- Citations
- 7
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 8.70