Improving Efficiency Through the Digitalization and Forecasting of Medicinal Plant Product Sales
Year: 2026
Type: article
Abstract: This article investigates the issues of improving the sales mechanism of medicinal plant products through digitalization and forecasting. During the research process, the current state of the sales system was analyzed, and its main challenges were identified, particularly the insufficient digitalization of sales processes, weaknesses in customer relationship management, and the underdevelopment of demand forecasting mechanisms. Within the research methodology, a systematic approach, economic-statistical analysis, and econometric modeling methods were employed. In particular, sales volume forecasting was carried out using the ARIMA model. The practical results demonstrated that the implementation of digitalization and forecasting approaches in the sales of medicinal plant products significantly enhances business performance. Specifically, sales volume increased from 40 million UZS to 65 million UZS, representing a growth of 62.5%. Based on the research findings, practical recommendations were developed to improve the sales of medicinal plant products. These recommendations include the automation of sales processes, the systematization of customer relationship management, and the adoption of forecasting-based managerial decision-making.
Author: Maftuna Ermatova Arslonbek qizi
Language: English
Subfield: Management of Technology and Innovation
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7220265653