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作 者:董丽娟[1] 王永庆 孙德艳 DONG Lijuan;WANG Yongqing;SUN Deyan(Beijing Zhongdian Puhua Information Technology Co.,Ltd.,Beijing 100192,China)
机构地区:[1]北京中电普华信息技术有限公司,北京100192
出 处:《计算机应用文摘》2024年第24期145-147,共3页
摘 要:为提高新一代电力营销管理信息平台产品市场预估的准确性,适应复杂多变的电力营销市场环境,帮助电力企业提前规划产能、调整库存、优化供应链,文章研究了产品市场预估方法。首先,采集并预处理产品历史销售数据,为销量预估提供数据支持。其次,计算各时间周期内的市场增长率,分析电力营销管理信息平台市场趋势。在此基础上,预估产品市场,避免因供需不平衡导致的资源浪费或客户流失问题。实验结果表明,应用该方法后,平台产品市场预估值与实际值之间的偏差较小,具有较好的准确性和稳定性,预估效果优势显著。In order to improve the accuracy of product market prediction of the new generation of power marketing management information platform,adapt to the complex and changing power marketing market environment,and help power enterprises plan capacity in advance,adjust inventory and optimize supply chain,this paper studies the product market prediction method.First,collect and pre-process product historical sales data to provide data support for sales forecast.Secondly,the market growth rate in each time period is calculated,and the market trend of power marketing management information platform is analyzed.On this basis,the product market is estimated to avoid resource waste or customer loss caused by the imbalance between supply and demand.The experimental results show that after applying this method,the deviation between the platform product market estimate and the actual value is small,with good accuracy and stability,and the advantage of the prediction effect is significant.
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