Building The Prediction of Sales Evaluation on Exponential Smoothing using The OutSystems Platform

Sasa Ani Arnomo, Yulia Yulia, Ukas Ukas
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Abstract

To get a large profit in a company or business is to determine sales predictions for the next period. Prediction or forecasting is one of the keys to the success of sales because the predicted value of sales can be used as a reference to determine the order of goods, so there is no loss. Exponential smoothing method is a fairly superior forecasting method in long-term, medium-term and short-term forecasting. The data to be processed is sales data for the 2020-2022 period. The single exponential smoothing method was chosen because it can determine sales predictions for the next period with the smallest error value. The evaluation method used is MAPE, ME, MAD and MSE where this forecasting method is used to find the smallest error value. Based on the calculation results, the smallest error value obtained is ME at 62.8, MAD at 179.9, MSE at 55564.5, and MAPE at 9.20%. The value is at alpha 0.3. The next stage is to design a prediction system using the out-systems platform version 11.14.1 as a place to design the system. The test results of the system that has been designed to assist business owners in making decisions on product inventory estimates.
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利用OutSystems平台建立指数平滑的销售评价预测
要在公司或企业中获得巨额利润,就要确定下一时期的销售预测。预测或预测是销售成功的关键之一,因为销售的预测值可以作为确定货物订单的参考,所以没有损失。指数平滑法在长期、中期和短期预测中都是一种比较优越的预测方法。要处理的数据为2020-2022年期间的销售数据。选择单指数平滑法是因为它可以以最小的误差值确定下一时期的销售预测。评价方法为MAPE、ME、MAD和MSE,其中该预测方法用于寻找最小误差值。根据计算结果,得到的最小误差值为ME为62.8,MAD为179.9,MSE为55564.5,MAPE为9.20%。该值为alpha 0.3。下一阶段是设计一个预测系统,使用out-systems平台版本11.14.1作为设计系统的地方。该系统的测试结果已被设计用来帮助企业主在产品库存估算方面做出决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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