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End-to-End Robotic Process Automation in Oracle On-Premise Environments: UiPath RPA for ERP, EBS, PeopleSoft, and HCM in Construction Materials Manufacturing

Author(s) Urvangkumar Kothari
Country United States
Abstract Oracle’s on-premise applications ERP, EBS, PeopleSoft and HCM are fundamental in the business operations of the construction materials manufacturing industry and they are relied upon heavily. Nevertheless, manual data entry, fractional work process, and operational ineffectiveness are impediments that produce errors, delays, and higher costs. RPA is an emerging transformative technology that has complemented bridging the automation gaps without requiring you to modify your legacy Oracle systems. The paper describes how UiPath RPA is integrated with Oracle on-premises applications that automate repetitive tasks, reduce human intervention while improving production efficiency. We illustrate such improvements in the processing time, accuracy, and compliance through real world use case including automated sales order processing, invoice management, payroll operations etc. Additionally, we outline some of the challenges of integration, security risks, or maintenance alongside some solutions that can help across the key challenges of the successful RPA implementation. The findings confirm RPA’s capability to shape the future of enterprise processes in the construction materials manufacturing sector and open the door to increased intelligent automation in the Oracle environment.
Keywords Robotic Process Automation (RPA), UiPath, Oracle On-Premise, ERP Automation, Oracle EBS, PeopleSoft HCM, Construction Materials Manufacturing, Business Process Optimization, Intelligent Automation, Digital Transformation.
Field Engineering
Published In Volume 5, Issue 11, November 2024
Published On 2024-11-11
Cite This End-to-End Robotic Process Automation in Oracle On-Premise Environments: UiPath RPA for ERP, EBS, PeopleSoft, and HCM in Construction Materials Manufacturing - Urvangkumar Kothari - IJLRP Volume 5, Issue 11, November 2024. DOI 10.70528/IJLRP.v5.i11.1488
DOI https://doi.org/10.70528/IJLRP.v5.i11.1488
Short DOI https://doi.org/g9dm6z
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