Tebin Burhan Mohammed1 and Osman Durmaz2
Tishk International University, Sulaymaniyah Campus
Sulaymaniyah, Kurdistan Region of Iraq
Email: [email protected] – [email protected]
DOI: 10.23918/ICABEP2022p49
Abstract
The purpose of the current study was to develop an idea for the establishment of a database as an expert system which could support the order decisions of managers of retail shops in the Kurdistan Region of Iraq. To do this, a vast literature review was studied to understand the theoretical underpinnings of smart systems and the accumulation of knowledge. We collected data from various retail shops which were selling products of Fakir in the region. The managers provided data for approximately one year. We developed basic forecasting methods to apply to the data we were provided by the managers. The methods were mainly; moving average, weighted moving average, exponential smoothing, and exponential smoothing with trend adjustment. The results showed that methods were successful only in some cases but not very successful in many of the cases. The reasons for the result were several; firstly, the number of data was very limited, and the models failed to develop a path to follow. Secondly, the number of sales monthlies was limited and the mean absolute percentage error was affected by a single error significantly.
Keywords: Knowledge management, expert systems, forecasting
ICABEP2022
4th International Conference on Accounting, Business, Economics and Politics
Organized by
Tishk International University, College of Administration and Economics, Salahaddin University-Erbil, and
University of Szczecin, Poland.
