Article: BP-DSS3: a business processes decision-support chatbot through the language model GPT-3.5-turbo Journal: International Journal of Intelligent Engineering Informatics (IJIEI) 2025 Vol.13 No.5 pp.1 - 31 Abstract: Nowadays, deploying automated decision-making tools is a crucial requirement for conducting successful business activities and efficient transactions. Hence, leveraging emerging artificial intelligence (AI) techniques, conjugated with natural language processing (NLP) will strengthen the decision support systems (DSS) that are imperative for elaborating strategic planning. In this perspective, the deployment of the emerging chatbots' technology in the area of business processes (BP) offers large capabilities for decision-making activities and yields several benefits. In fact, the ability of these conversational tools to handle and interpret textual data reflecting BP executions significantly enriches the DSS ecosystem by extending its performances with a valuable layer that improves decision-making tasks. In this work, the potential of NLP techniques to build a generative pre-trained transformer (GPT)-based chatbot is exploited. The developed conversational agent, named BP-DSS3, fine-tunes the GPT-3.5 Turbo language model and constitutes an efficient tool that supports and facilitates firm decision-making activities. Inderscience Publishers - linking academia, business and industry through research

Title: BP-DSS3: a business processes decision-support chatbot through the language model GPT-3.5-turbo

Authors: Chaima Afifi; Ali Khebizi; Khaled Halimi

Addresses: Laboratory of LABSTIC, University of 8 May 1945, Guelma, Algeria ' Department of Computer Science, University of 8 May 1945, Guelma, Algeria ' Department of Computer Science, University of 8 May 1945, Guelma, Algeria

Abstract: Nowadays, deploying automated decision-making tools is a crucial requirement for conducting successful business activities and efficient transactions. Hence, leveraging emerging artificial intelligence (AI) techniques, conjugated with natural language processing (NLP) will strengthen the decision support systems (DSS) that are imperative for elaborating strategic planning. In this perspective, the deployment of the emerging chatbots' technology in the area of business processes (BP) offers large capabilities for decision-making activities and yields several benefits. In fact, the ability of these conversational tools to handle and interpret textual data reflecting BP executions significantly enriches the DSS ecosystem by extending its performances with a valuable layer that improves decision-making tasks. In this work, the potential of NLP techniques to build a generative pre-trained transformer (GPT)-based chatbot is exploited. The developed conversational agent, named BP-DSS3, fine-tunes the GPT-3.5 Turbo language model and constitutes an efficient tool that supports and facilitates firm decision-making activities.

Keywords: business processes; generative pre-trained transformer; GPT; fine-tuning; decision-making; language model; natural language processing; NLP.

DOI: 10.1504/IJIEI.2025.146326

International Journal of Intelligent Engineering Informatics, 2025 Vol.13 No.5, pp.1 - 31

Received: 09 May 2024
Accepted: 16 Oct 2024
Published online: 21 May 2025 *

Title: BP-DSS3: a business processes decision-support chatbot through the language model GPT-3.5-turbo

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