This paper presents an end-to-end execution of a real-world business process (BP) in the logistics domain to illustrate how an AI-Augmented Business Process Management System (ABPMS) can increase BP automation compared to a traditional BPMS. In addition, we discuss concrete AI-based solutions for the implementation of the ABPMS lifecycle stages.
An End-To-End Execution of a Logistic Process in an AI-Augmented Business Process Management System / Acitelli, G.; Agostinelli, S.; Casciani, A.; Marrella, A.. - 3779:(2024), pp. 5-10. (Intervento presentato al convegno 3rd International Workshop on Process Management in the AI Era, PMAI 2024 tenutosi a Santiago de Compostela; Spain).
An End-To-End Execution of a Logistic Process in an AI-Augmented Business Process Management System
Acitelli G.
;Agostinelli S.
;Casciani A.
;Marrella A.
2024
Abstract
This paper presents an end-to-end execution of a real-world business process (BP) in the logistics domain to illustrate how an AI-Augmented Business Process Management System (ABPMS) can increase BP automation compared to a traditional BPMS. In addition, we discuss concrete AI-based solutions for the implementation of the ABPMS lifecycle stages.| File | Dimensione | Formato | |
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Acitelli_An-end-to_2024.pdf
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Note: https://ceur-ws.org/Vol-3779/short1.pdf
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