Eren Esgin

Papers

Total Citations

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About

Eren Esgin is a leading researcher at the intersection of Robotic Process Automation (RPA) and enterprise supply chain management, with a particular focus on transforming legacy business workflows through intelligent automation. His most influential work, "SOPRANO: Seamless Sales Order Management Robotic Process Automation Experience at SAP" (2023, 5 citations), introduces a novel framework that reimagines sales order processing by automating repetitive, error-prone tasks within SAP environments. This contribution demonstrates how RPA can dramatically improve data accuracy, reduce cycle times, and enhance operational efficiency in complex enterprise systems. Esgin’s research provides both a technical blueprint and a strategic roadmap for organizations seeking to integrate automation into their supply chain operations, bridging the gap between theoretical automation concepts and real-world industrial application. His work is particularly notable for its practical impact, offering actionable insights that help companies achieve measurable productivity gains while minimizing human intervention in routine processes. As a thought leader in the RPA space, Esgin continues to shape how enterprises leverage automation to drive digital transformation, making his research essential reading for students and practitioners alike who are interested in the future of intelligent process automation.