Data Analytics Approach for Short-term Sales Forecasts Using Limited Information in E-commerce Marketplace

Data Analytics Approach for Short-term Sales Forecasts Using Limited Information in E-commerce Marketplace

E-commerce has become very important in our daily lives. Many business transactions are made easier on this platform. Sellers and consumers are the two main parties that gain a lot of benefits from it. Although many sellers are attracted to set up their businesses on this online platform, it also ca...

Полное описание

Библиографические подробности
Главные авторы: Christopher Chin Fung Chee, Kang Leng Chiew, Izzatul Nabila bt Sarbini, Eileen Kho Huei Jing
Формат: Статья
Язык:English
Опубликовано: Prague University of Economics and Business 2022-12-01
Серии:Acta Informatica Pragensia
Предметы:
electronic commerce
data analytics
sales forecast
simple moving average
regression
Online-ссылка:https://aip.vse.cz/artkey/aip-202203-0003_data-analytics-approach-for-short-term-sales-forecasts-using-limited-information-in-e-commerce-marketplace.php

Internet

https://aip.vse.cz/artkey/aip-202203-0003_data-analytics-approach-for-short-term-sales-forecasts-using-limited-information-in-e-commerce-marketplace.php

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