Knowledge Management Strategies, forecasting methods and expert system within Small and Medium-sized enterprises: an applied study in Fakir Company

Abstract

The purpose of the current study is 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 understand the theoretical underpinnings of smart systems and the accumulation of knowledge, much of the previous research on the topic has been reviewed. The data were collected from different retail stores that had been selling Fakir Products. To analyze the data, researchers developed basic forecasting methods, which mainly included moving average, weighted moving average, exponential smoothing, and exponential smoothing with trend adjustment. The results showed that methods were successful only in a few cases while the majorities were not. The reasons for the emergence of the current study results are due to firstly; the number of data was very limited with the models failed to develop a path to follow. Secondly, the monthly sales in the investigated area were limited, thereby; the average absolute error rate was significantly affected by a single error.