Sarcouncil Journal of Engineering and Computer Sciences
Sarcouncil Journal of Engineering and Computer Sciences
An Open access peer reviewed international Journal
Publication Frequency- Monthly
Publisher Name-SARC Publisher
ISSN Online- 2945-3585
Country of origin-PHILIPPINES
Impact Factor- 3.7
Language- English
Keywords
- Engineering and Technologies like- Civil Engineering, Construction Engineering, Structural Engineering, Electrical Engineering, Mechanical Engineering, Computer Engineering, Software Engineering, Electromechanical Engineering, Telecommunication Engineering, Communication Engineering, Chemical Engineering
Editors

Dr Hazim Abdul-Rahman
Associate Editor
Sarcouncil Journal of Applied Sciences

Entessar Al Jbawi
Associate Editor
Sarcouncil Journal of Multidisciplinary

Rishabh Rajesh Shanbhag
Associate Editor
Sarcouncil Journal of Engineering and Computer Sciences

Dr Md. Rezowan ur Rahman
Associate Editor
Sarcouncil Journal of Biomedical Sciences

Dr Ifeoma Christy
Associate Editor
Sarcouncil Journal of Entrepreneurship And Business Management
Agentic AI Revolutionizes ERP Automation Capabilities in Supply Chain Management Space
Keywords: Autonomous Intelligence, Resource Planning Systems, Independent Decision Frameworks, Logistics Optimization, Forecasting Analytics, Automatic Recovery Mechanisms.
Abstract: Modern Enterprise Resource Planning (ERP) infrastructures undergo dramatic modernization through the deployment of Agentic AI, revolutionizing supply chain operational frameworks across international commercial sectors. Intelligent autonomous reasoning systems substitute conventional passive automation mechanisms with cognitive platforms possessing independent strategic development and instantaneous execution capabilities. Advanced machine learning technologies facilitate continuously enhancing sourcing, manufacturing, logistics, and client service functions through integrated workflow optimization models. Superior transparency features develop from the Internet of Things integration and forecasting analytics, providing remarkable clarity throughout elaborate distribution networks while upholding data protection protocols. Autonomous recovery systems epitomize the highest level of self-correcting functionalities, allowing automatic restoration from operational interruptions via sophisticated malfunction detection and resolution mechanisms. Deployment obstacles include information quality oversight, cultural transformation elements, and technological infrastructure demands requiring meticulous strategic preparation. Emerging innovations suggest that quantum computational integration, advanced linguistic processing abilities, and enhanced human-machine collaboration platforms will propel future-generation supply chain management technologies. Regulatory and moral aspects become increasingly significant as independent systems undertake broader decision-making duties within essential commercial functions.
Author
- Abhijit Joshi
- Digital Supply Chain Transformation Specialist
- Management Consulting
- Dallas
- Texas