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柳州市地区九曲红梅进货频率分析数据

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浙江省数据知识产权登记平台2025-10-02 更新2025-10-04 收录
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统计柳州市地区九曲红梅各门店一个季度的进货次数,精确计算进货频率。供应商能据此洞悉门店需求差异,灵活调整库存分配与补货节奏,提升供应链响应速度。物流供应商则依据频率数据,科学规划配送路径,精准安排配送间,实现高效、低成本的物流运作。门店排名机制促使企业迅速识别运营瓶颈,及时干预改善。同时,比较各门店进货频率,企业能精准把握市场动态评估竞争态势,为制定差异化市场策略提供坚实数据支撑,推动整个产业链协同发展,增强市场竞争力。1、数据统计:采集柳州市每个门店一个季度进货次数,对采集到的进货天数(天)、进货总次数(次)、门店进货次数(次)等数据进行分类、合并、累加,便于分析。2、数据分析:该时间段内的进货天数(天)为N,该时间段天数 T。计算平均进货间隔时间 I(天)=T/N,进货频率F(次/天)=1/I。3、将进货频率F(次/天)进行排名,占比排名进货频率F(次/天)从大到小进行排名。4、根据进货频率F(次/天)排名,对门店等级进行“高、中、低”的评价,定义进货频率F(次/天)排名前5名的门店等级为“高”第6-10名的门店等级为“中”,第11名及以后的门店等级为“低”。

This dataset counts the number of quarterly restock visits for each Jiuqu Hongmei store in Liuzhou City, and accurately calculates the restock frequency. Suppliers can thus gain insights into differences in store demand, flexibly adjust inventory allocation and restocking rhythm, and improve supply chain response speed. Logistics suppliers can leverage this frequency data to scientifically plan delivery routes and accurately arrange delivery intervals, achieving efficient and low-cost logistics operations. The store ranking mechanism enables the enterprise to quickly identify operational bottlenecks and take timely intervention measures for improvement. Meanwhile, by comparing the restock frequencies of all stores, the enterprise can accurately grasp market dynamics and assess the competitive landscape, providing solid data support for formulating differentiated market strategies, promoting the coordinated development of the entire industrial chain, and enhancing overall market competitiveness. 1. Data Statistics: Collect the quarterly restock times of each store in Liuzhou City. Classify, merge and accumulate the collected data including restock days (days), total restock times (times) and store-specific restock times (times) to facilitate subsequent analysis. 2. Data Analysis: Let the number of restock days within the statistical time period be N, and the total number of days in this time period be T. Calculate the average restock interval I (days) = T/N, and the restock frequency F (times/day) = 1/I. 3. Rank the restock frequency F (times/day) in descending order from highest to lowest. 4. Based on the ranking of restock frequency F (times/day), assign store levels of "High", "Medium" and "Low": define stores ranked top 5 as "High", those ranked 6th to 10th as "Medium", and those ranked 11th and below as "Low".
提供机构:
杭州聚满香茶叶有限公司
创建时间:
2025-09-08
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集记录了柳州市地区九曲红梅茶叶的进货频率分析,包含551条数据,每季度更新,涵盖门店编号、时间范围和进货频率等关键字段。它通过计算进货间隔和频率,对门店进行排名和等级评价,帮助供应商优化库存和物流,提升供应链响应速度和市场竞争力。
以上内容由遇见数据集搜集并总结生成
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