AN ARTIFICIAL INTELLIGENCE AND KNOWLEDGE-BASED SYSTEM TO SUPPORT THE DECISION- MAKING PROCESS IN SALES

Ismael Cristofer Baierle, Miguel Afonso Sellitto, Rejane Frozza, Jones Luís Schaefer, Anderson Felipe Habekost

Abstract


The purpose of this article is to describe the development of a knowledge-based system that, aided by rules, can support the decision-making processes of the sales department of a company. The knowledge-based system can bring reliability and agility to the decision-making process, and can allow for simulating future scenarios for the company, according to the combined behaviour of key variables. All variables identified in the study have some degree of importance for the decision-making process; they must be analysed together to produce a reliable answer, otherwise, an incorrect decision can emerge, damaging the execution of the company’s strategy. The main contribution of this study is a case report in which a knowledge-based system helped to find an adequate alternative to a business problem in the sales sector of a company in the south of Brazil.


Keywords


Artificial Intelligence; Knowledge-based systems; Decision making; Expert system

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DOI: https://doi.org/10.7166/30-2-1964

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Copyright (c) 2019 Ismael Cristofer Baierle, Miguel Afonso Sellitto, Rejane Frozza, Jones Luís Schaefer, Anderson Felipe Habekost


ISSN 2224-7890 (on-line) ; ISSN 1012-277X (print)


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