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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | ces |
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Prague University of Economics and Business
2022-12-01
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| Series: | Acta Informatica Pragensia |
| Subjects: | |
| Online Access: | https://aip.vse.cz/artkey/aip-202203-0003_data-analytics-approach-for-short-term-sales-forecasts-using-limited-information-in-e-commerce-marketplace.php |
| _version_ | 1797861444962746368 |
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| author | Christopher Chin Fung Chee Kang Leng Chiew Izzatul Nabila bt Sarbini Eileen Kho Huei Jing |
| author_facet | Christopher Chin Fung Chee Kang Leng Chiew Izzatul Nabila bt Sarbini Eileen Kho Huei Jing |
| author_sort | Christopher Chin Fung Chee |
| collection | DOAJ |
| description | 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 causes challenges such as a highly competitive business environment and unpredictable sales. Thus, we propose a data analytics approach for short-term sales forecasts using limited information in the e-commerce marketplace. Product details are scraped from the e-commerce marketplace using a content scraping tool. Since the information in the e-commerce marketplace is limited and essential, scraped product details are pre-processed and constructed into meaningful data. These data are used in the computation of the forecasting methods. Three types of quantitative forecasting methods are computed and compared. These are simple moving average, dynamic linear regression and exponential smoothing. Three different evaluation metrics, namely mean absolute deviation, mean absolute percentage error and mean squared error, are used for the performance evaluation in order to determine the most suitable forecasting method. In our experiment, we found that the simple moving average has the best forecasting accuracy among other forecasting methods. Therefore, the application of the simple moving average forecasting method is suitable and can be used in the e-commerce marketplace for sales forecasting. |
| first_indexed | 2024-04-09T22:02:34Z |
| format | Article |
| id | doaj.art-d0e14f60152d48b4baa4a8f8502d0e40 |
| institution | Directory Open Access Journal |
| issn | 1805-4951 |
| language | ces |
| last_indexed | 2024-04-09T22:02:34Z |
| publishDate | 2022-12-01 |
| publisher | Prague University of Economics and Business |
| record_format | Article |
| series | Acta Informatica Pragensia |
| spelling | doaj.art-d0e14f60152d48b4baa4a8f8502d0e402023-03-23T14:16:15ZcesPrague University of Economics and BusinessActa Informatica Pragensia1805-49512022-12-0111330932310.18267/j.aip.196aip-202203-0003Data Analytics Approach for Short-term Sales Forecasts Using Limited Information in E-commerce MarketplaceChristopher Chin Fung Chee0Kang Leng Chiew1Izzatul Nabila bt Sarbini2Eileen Kho Huei Jing3Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kota Samarahan, MalaysiaFaculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kota Samarahan, MalaysiaFaculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kota Samarahan, MalaysiaKaruna (Sarawak) Enterprise Sdn. Bhd., MalaysiaE-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 causes challenges such as a highly competitive business environment and unpredictable sales. Thus, we propose a data analytics approach for short-term sales forecasts using limited information in the e-commerce marketplace. Product details are scraped from the e-commerce marketplace using a content scraping tool. Since the information in the e-commerce marketplace is limited and essential, scraped product details are pre-processed and constructed into meaningful data. These data are used in the computation of the forecasting methods. Three types of quantitative forecasting methods are computed and compared. These are simple moving average, dynamic linear regression and exponential smoothing. Three different evaluation metrics, namely mean absolute deviation, mean absolute percentage error and mean squared error, are used for the performance evaluation in order to determine the most suitable forecasting method. In our experiment, we found that the simple moving average has the best forecasting accuracy among other forecasting methods. Therefore, the application of the simple moving average forecasting method is suitable and can be used in the e-commerce marketplace for sales forecasting.https://aip.vse.cz/artkey/aip-202203-0003_data-analytics-approach-for-short-term-sales-forecasts-using-limited-information-in-e-commerce-marketplace.phpelectronic commercedata analyticssales forecastsimple moving averageregression |
| spellingShingle | Christopher Chin Fung Chee Kang Leng Chiew Izzatul Nabila bt Sarbini Eileen Kho Huei Jing Data Analytics Approach for Short-term Sales Forecasts Using Limited Information in E-commerce Marketplace Acta Informatica Pragensia electronic commerce data analytics sales forecast simple moving average regression |
| title | Data Analytics Approach for Short-term Sales Forecasts Using Limited Information in E-commerce Marketplace |
| title_full | Data Analytics Approach for Short-term Sales Forecasts Using Limited Information in E-commerce Marketplace |
| title_fullStr | Data Analytics Approach for Short-term Sales Forecasts Using Limited Information in E-commerce Marketplace |
| title_full_unstemmed | Data Analytics Approach for Short-term Sales Forecasts Using Limited Information in E-commerce Marketplace |
| title_short | Data Analytics Approach for Short-term Sales Forecasts Using Limited Information in E-commerce Marketplace |
| title_sort | data analytics approach for short term sales forecasts using limited information in e commerce marketplace |
| topic | electronic commerce data analytics sales forecast simple moving average regression |
| url | 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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