El Hassane Ettifouri

Papers

Total Citations

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About

El Hassane Ettifouri is a leading researcher at the forefront of intelligent automation, specializing in Robotic Process Automation (RPA) and its integration with Artificial Intelligence (AI) to transform business operations. His work critically examines how RPA can revolutionize supply chain management, demonstrating through his highly cited 2021 paper (7 citations) that automating repetitive tasks significantly enhances efficiency and reduces operational bottlenecks. Ettifouri’s major contribution lies in identifying the limitations of traditional RPA—its reliance on expert knowledge and inability to handle complex decision-making—and proposing novel AI-driven solutions. His 2024 paper (2 citations) pioneers a groundbreaking approach to convert unstructured textual instructions into automated workflows, bridging the gap between human language and machine execution. This work has profound implications for making automation accessible to non-technical users and enabling adaptive, intelligent processes. Ettifouri’s research is shaping the next generation of business process automation, offering a clear path from rigid, rule-based systems to dynamic, cognitive workflows. His insights are essential for students and practitioners seeking to understand the future of digital transformation in supply chains and beyond.