Sreya Salil

M S Ramaiah University of Applied Sciences

Papers

Total Citations

H-Index

About

Sreya Salil is a researcher specializing in Robotic Process Automation (RPA), artificial intelligence, and intelligent business process optimization. Her work sits at the intersection of automation technologies and practical enterprise applications, exploring how organizations can leverage emerging tools to streamline operations and improve efficiency. Her most notable contribution, "Robotic Process Automation with AI and OCR to Improve Business Process: Review" (2021), has garnered 23 citations and provides a comprehensive examination of how RPA combined with optical character recognition can liberate employees from repetitive, time-consuming tasks — such as manual data entry and identity verification — enabling them to focus on higher-value work. This review has become a meaningful reference point for researchers and practitioners exploring intelligent automation strategies. Building on this foundation, her 2023 study on automating customer service queries on Twitter demonstrates her ability to apply RPA principles to real-world social media challenges, addressing how businesses can efficiently manage high volumes of customer complaints at scale. With a growing citation record and research that bridges theoretical frameworks with tangible business impact, Sreya Salil represents an emerging voice in the automation and AI-driven process improvement space, making her work particularly valuable for practitioners and academics alike.