外卖盒产品下月库存量预测数据

库存量指企业在特定时间点持有的外卖盒产品实物数量，包含原材料、半成品及成品，其核心价值在于平衡供需关系：库存不足会导致断货损失客户，过量库存则占用资金与仓储空间。本数据集合直接关联外卖盒排产，当预测库存低于安全阈值时，自动生成采购订单；另外本行业所有企业还可通过本数据集合反推市场占有率。1.数据采集：采集本公司外卖盒产品前三个月的销售以及后台库存信息。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，预测下月销量=上一个月的销量*k1+上上一个月的销量*k2+上上上一个月的销量*k3，取整数值，k1、k2、k3为权重系数。预测下月库存量=（本月库存-预测下月销量）+0.6*安全库存，其中安全库存=（上一个月的销量+上上一个月的销量+上上上一个月的销量）*0.3，取整数值。4.数据应用：通过下月库存量的预测，可以帮助企业提前合理预测库存应该备货多少，若预测下月库存量小于安全库存则库存不足，则发出预警信号，需要及时考虑补货，若预测下月库存量大于等于安全库存则库存正常，可需要推出活动及时清理库存。Inventory refers to the physical stock of takeout box products held by an enterprise at a specific time point, including raw materials, semi-finished products and finished products. Its core value lies in balancing supply and demand: insufficient inventory will lead to stockouts and customer losses, while excessive inventory will occupy capital and storage space. This dataset is directly associated with the production scheduling of takeout boxes. When the predicted inventory is lower than the safety threshold, purchase orders will be automatically generated. Additionally, all enterprises in this industry can use this dataset to reversely deduce their market share. 1. Data Collection: Collect the sales and background inventory information of the company's takeout box products over the past three months. 2. Data Processing: Process the collected raw data to eliminate missing and abnormal data. 3. Data Analysis: Adopt the weighted moving average method to forecast sales volume. The formula for forecasting next month's sales is: Next month's forecasted sales = Previous month's sales * k1 + Sales of the prior two months * k2 + Sales of three months prior * k3, rounded to an integer, where k1, k2, k3 are weight coefficients. The formula for forecasting next month's inventory is: Next month's forecasted inventory = (Current month's inventory - Next month's forecasted sales) + 0.6 * Safety Stock, where Safety Stock = (Previous month's sales + Sales of the prior two months + Sales of three months prior) * 0.3, rounded to an integer. 4. Data Application: Through the forecast of next month's inventory, enterprises can reasonably predict the required inventory stock in advance. If the forecasted next month's inventory is less than the safety stock, it indicates insufficient inventory, and an early warning signal will be issued, requiring timely consideration of replenishment. If the forecasted next month's inventory is greater than or equal to the safety stock, the inventory is normal, and promotional activities need to be launched to clear inventory in a timely manner.

搜集汇总

背景与挑战

背景概述

该数据集是温州宝丰包装科技有限公司的外卖盒产品库存预测数据，包含821条记录，每月更新，用于制造业库存管理。它采用加权移动平均算法预测下月库存量，帮助企业优化备货策略，避免库存不足或过剩问题，提升运营效率。