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Support for decision -making in the commercial sector of the city of Cuenca: application of predictors based on artificial intelligence

Project: Research

Project Details

Description

The accurate decision making can be the differentiating factor of success in companies both for those who just initiate their activities and for those who have a market trajectory, so that generating tools that facilitate this decision making is one of the relevant responses from the academy to the company. In this sense, the project aims to use secondary sources in the commercial sector of Cuenca, which allow to create a generic software tool for decision making (DSS) defining effective and/or efficient business and/or business strategies that facilitate the management of decision makers. The prototype of the DSS to be developed will contain an optimization and prediction module based on genetic algorithms that will provide creative solutions to unstructured problems in business. In addition, this system will allow the evaluation and categorization of hypothetical scenarios and its possible solutions that will provide the opportunity to analyze the feasibility, operational -economic, in the implementation of these strategies. Among the main variables that will be considered in this system are financial and linked to the behavior of the sector. This tool is intended to provide a business technological alternative to decision makers, based on artificial intelligence, which will help for the success of organizations, considering that the last decision will always have managers, entrepreneurs. This tool will be socialized with the academy and the business sector, with the aim of seeking replicability in new sectors and geographical areas; In addition, the results will be academicly and scientifically disseminated.

Call for Applications

XIX UNIVERSITY COMPETITION FOR RESEARCH PROJECTS
Short titleSupport makes decisions commercial sector
StatusFinished
Effective start/end date1/03/2328/02/25

Keywords

  • Managerial decision -making
  • Commercial sector
  • Genetic algorithms
  • Artificial intelligence

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