Risk management of the trade processess involving big data analytics and artificial intelligence

   

Project no.: J05-LVPA-K-04-0083

Project description:

The essence of the project is to develop a model for risk assessment and management of sales processes that will help companies identify and manage risks related to customer reputation, solvency, tax avoidance through artificial intelligence and big data management systems. Research and development of the necessary data collection and evaluation algorithms would also result in creating an IT tool prototype, which will gather data from different sources, different data formats, high speed data into one large database.

Project funding:

This research project is funded by European Regional Development Fund according to the 2014–2020 Operational Programme for the European Union Funds’ Investments under measure No. J05-LVPA-K “Intellect. Joint Science-Business Projects”.


Project results:

The desirable result of the project is to create a model for risk assessment and management of sales processes, which helps the company to identify and manage risks related to customer reputation, solvency, tax avoidance with the help of artificial intelligence and big business data management systems.

Period of project implementation: 2019-02-25 - 2021-02-25

Project coordinator: Joint stock company "Idėjų valda"

Project partners: Kaunas University of Technology

Head:
Gerda Žigienė, Robertas Alzbutas

Duration:
2019 - 2021

Department:
Academic Centre of Economics, Business and Management, Department of Applied Mathematics, Faculty of Mathematics and Natural Sciences, School of Economics and Business

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