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Building Resilient Supply Chains: The Role of AI and RPA in Predictive Management and Automation
Subject area: Science,Engineering and Technology · Area of research: AI and RPA
Abstract
This article investigates the critical role of Artificial Intelligence (AI) and Robotic Process Automation (RPA) in improving predictive management and automation for resilient supply chains. Supply chain resilience is becoming increasingly important in today's volatile and unpredictable business climate, where interruptions are widespread. Traditional supply chains frequently struggle to respond quickly to unforeseen difficulties, emphasizing the need for novel techniques to improve resilience. AI technologies provide enhanced predictive analytics capabilities, allowing for proactive risk identification and reduction. Meanwhile, RPA automates repetitive jobs and procedures, increasing efficiency and agility in supply chain operations. By combining AI-driven analytics with RPA automation, businesses may improve supply chain visibility, forecasting accuracy, and responsiveness. This article investigates the synergies between AI and RPA, highlighting real-world examples of effective integration in overcoming difficulties and achieving resilience. Furthermore, it examines recent trends and future directions in AI and RPA for supply chain management, underlining the need for organizations to adopt these technologies to flourish in an ever-changing economy.
Keywords
Supply Chain Resilience, Artificial Intelligence, Robotic Process Automation, Predictive Management, and Automation.
References
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How to cite this paper
@article{1704073,
author = {Kamala Venigandla, Venkata Manoj Tatikonda},
title = {Building Resilient Supply Chains: The Role of AI and RPA in Predictive Management and Automation},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {6},
number = {7},
pages = {421-429},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1704073.pdf},
abstract = {This article investigates the critical role of Artificial Intelligence (AI) and Robotic Process Automation (RPA) in improving predictive management and automation for resilient supply chains. Supply chain resilience is becoming increasingly important in today's volatile and unpredictable business climate, where interruptions are widespread. Traditional supply chains frequently struggle to respond quickly to unforeseen difficulties, emphasizing the need for novel techniques to improve resilience. AI technologies provide enhanced predictive analytics capabilities, allowing for proactive risk identification and reduction. Meanwhile, RPA automates repetitive jobs and procedures, increasing efficiency and agility in supply chain operations. By combining AI-driven analytics with RPA automation, businesses may improve supply chain visibility, forecasting accuracy, and responsiveness. This article investigates the synergies between AI and RPA, highlighting real-world examples of effective integration in overcoming difficulties and achieving resilience. Furthermore, it examines recent trends and future directions in AI and RPA for supply chain management, underlining the need for organizations to adopt these technologies to flourish in an ever-changing economy.},
keywords = {Supply Chain Resilience, Artificial Intelligence, Robotic Process Automation, Predictive Management, and Automation.},
month = {January},
}