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  • https://doi.org/10.31866/2617-796x.8.2.2025.347887Copy DOI Icon

Sales Forecasting Software in the Electronic Commerce System

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Abstract

Today, the scope of e-commerce is expanding. This raises the issue of equipping it with appropriate software that supports both the functioning of e-commerce enterprises and the application of modern methods and approaches to regulating the market for goods (commodity services). In particular, these methods include sales forecasting methods. An analysis of the current market for sales forecasting software in the e-commerce system reveals a shortage of suitable software solutions, which complicates the selection of the most effective software platform for generating relevant forecasts. The purpose of the article is to study and analyse modern software tools (systems, platforms) designed to perform e-commerce processes based on the results of sales forecasting for goods or commodity services using the appropriate Forecast software. The research methodology includes a systematic approach and comparative analysis of the main software solutions in this subject area (e-commerce system). The article explores approaches to developing and operating software solutions for forecasting the sales of goods and services, utilising statistical data and expert knowledge. The scientific novelty of the study lies in the analysis of modern methods and software solutions (systems, platforms) for forecasting sales of goods and services, as well as a comparative analysis of the latest sales forecasting platforms for both the Ukrainian and global markets. Additionally, recommendations are provided on selecting the right software solution for e-commerce enterprises. Conclusions. The study aims to enhance the efficiency of e-commerce enterprises by analysing software solutions that form the basis for developing effective software for forecasting sales of goods/services. The paper identifies the main problems of the existing e-commerce system software; analyses the main methods for determining the forecast values of sales of goods/services; analyses the existing software tools designed for forecasting (forecasting sales of goods or services); and provides recommendations on choosing the optimal software solutions that ensure the forecasting of sales of goods or services.

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