利用线性回归预测畅销产品的销售

Matthew Pratama
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引用次数: 0

摘要

PT Ajidarma Delta Medika是一家在Bekasi市从事医疗器械销售的公司。该公司销售各种医疗器械产品。根据近3年的销售数据,从大量消费者对医疗器械产品的需求来看,需要对最畅销产品的销售进行预测,以便于公司规划库存供应。为了找出最畅销的医疗器械产品的销售情况,使用了数据预测技术和线性回归算法。运用线性回归算法,对PT Ajidarma Delta Medika销售的几种产品的最畅销销量进行预测。本研究使用MAPE公式预测最畅销产品销售的准确度值为14.2%。这说明线性回归方法可以很好地预测下一年医疗器械的销售情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Utilizing Linear Regression for Predicting Sales of Top-Performing Products
PT Ajidarma Delta Medika is a company engaged in the sale of medical devices in the city of Bekasi. This company markets a variety of medical device products. Judging from the large number of consumer requests for medical device products based on sales data for the last 3 years, predictions are needed for the best-selling product sales, in order to facilitate the company in planning the supply of stock. To find out the best-selling medical device product sales, data prediction techniques are used with the Linear Regression algorithm. By using the Linear Regression algorithm, the results are obtained to predict the best-selling sales of several products sold at PT Ajidarma Delta Medika. This research produces an accuracy value with the MAPE formula for predicting the best-selling product sales of 14.2%. This shows that the linear regression method is good at predicting sales of medical devices in the following year.
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