Gabriele Cosoli
Papers
2
Total Citations
6
H-Index
2
About
Gabriele Cosoli is a researcher whose work sits at the intersection of process engineering, digital transformation, and artificial intelligence, with a particular focus on small and medium-sized enterprises (SMEs). His most cited research, "Process Engineering and AI Sales Prediction: The Case Study of an Italian Small Textile Company," demonstrates his commitment to bridging theoretical innovation with practical, real-world application. In this work, Cosoli applies Business Process Modelling Notation (BPMN) to redesign production processes, integrating AI-driven sales prediction to enhance operational efficiency in the textile sector. This case study has garnered attention for its actionable insights into how traditional industries can leverage digital technologies for competitive advantage. While his citation count is currently modest, Cosoli’s contributions are significant for their targeted impact on SME digitalization—a critical area for economic growth in regions like Italy. His research offers a valuable blueprint for engineers and managers seeking to modernize legacy systems, and it underscores his role as a practitioner-oriented scholar focused on making AI and process engineering accessible to smaller firms.
Research Focus
Key Achievements
Top Papers
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- 2