良中良湖州粽子销量预测数据

通过销量的预测，可以帮助企业提前合理预测销量，库存应该备货多少，若库存不足，则发出预警信号，方便制定采购计划。进一步拓展农产品销售渠道，助力浙江现代化先行和共同富裕示范区建设，努力探索出一条符合上级要求、具有时代特征、彰显当地特色的乡村振兴之路。1.数据采集：采集湖州两山农品小程序的销售和订单信息以及后台库存信息。2.数据处理：对采集到的原始数据进行处理，去除缺失和异常数据。 3.数据分析：采用加权移动平均法预测销量，预测销量S=（S1*k1+S2*k2+S3*k3）/（k1+k2+k3），S1：上一个月的销量，S2：上上一个月的销量，S3：上上上一个月的销量，k1、k2、k3为权重系数，根据该类商品历史数据计算得出分别为3.3、2.2、1.3。库存健康监测P=实际库存/预计月销量，库存健康阈值Q1=1.5，Q2=3，库存预警=IFS（P＜Q1，“库存不足”，Q1≤P≤Q2，“库存健康”，“库存积压”）。4.数据应用：通过销量的预测，可以帮助企业提前合理预测销量，库存应该备货多少，若库存不足，则发出预警信号，需要及时考虑补货，若库存积压，则需要推出活动及时清理库存。Sales volume forecasting can help enterprises reasonably predict sales in advance, determine appropriate inventory stocking quantities, and send out early warning signals when inventory is insufficient, so as to facilitate the formulation of procurement plans. Furthermore, it can further expand sales channels for agricultural products, support Zhejiang in building itself into a modernization pioneer and common prosperity demonstration zone, and strive to explore a path of rural revitalization that meets the requirements of higher authorities, features the characteristics of the times, and highlights local characteristics. 1. Data Collection: Collect sales, order and background inventory information from the Huzhou Liangshan Agricultural Products mini-program. 2. Data Processing: Process the collected raw data by removing missing and abnormal data entries. 3. Data Analysis: Adopt the weighted moving average method for sales volume forecasting, with the forecasting formula: $S=(S_1 imes k_1 + S_2 imes k_2 + S_3 imes k_3)/(k_1 + k_2 + k_3)$, where $S_1$ represents the sales volume of the previous month, $S_2$ represents that of the month before last, $S_3$ represents that of two months prior, and $k_1$, $k_2$, $k_3$ are weight coefficients calculated based on the historical data of the corresponding product, with values of 3.3, 2.2 and 1.3 respectively. For inventory health monitoring, the indicator $P$ is defined as $P = ext{actual inventory} / ext{projected monthly sales volume}$, with inventory health thresholds $Q_1=1.5$ and $Q_2=3$. The inventory early warning rule is: $ ext{IFS}(P < Q_1, ext{"Insufficient Inventory"}, Q_1 leq P leq Q_2, ext{"Healthy Inventory"}, ext{"Overstocked Inventory"})$. 4. Data Application: Through sales volume forecasting, enterprises can reasonably predict sales in advance and determine appropriate inventory stocking quantities. Early warning signals will be sent when inventory is insufficient to prompt timely replenishment, while promotional activities will be launched to clear overstocked inventory when there is excess stock.

搜集汇总

数据集介绍

特点

该数据集包含湖州两山农品小程序的粽子销售数据，共685条记录，每月更新。通过加权移动平均法预测销量，并监测库存健康状态，帮助企业优化库存管理和采购计划。