绿色水果配送超市金额数据

通过配送管理系统软件采集本公司绿色水果配送超市订单信息，将不同的配送订单以各超市来划分，从而计算各个超市每个月的配送金额数据，再计算出12个月的配送金额的方差大小，方差大小用来评价各个超市的配送情况，从而用于评估所有超市的采购和配送策略，所有企业可以通过该数据了解绿色水果在不同超市的配送行情，以平衡采购和配送绿色水果数量。例如对于超平稳型超市，本行业内企业无需时时关注该超市的行情，可每月保持好绿色水果的采购和配送数量；对于一般平稳型超市，本行业内企业需每季度关注该超市的行情，适当调整绿色水果的采购和配送数量；而对于波动型超市，本行业内企业需每月时时关注该超市行情，了解该超市的配送行情变化，以适应大幅度调整绿色水果的采购和配送数量变化。其次，本数据还能为配送行业的相关企业（如物流公司、农贸市场等）提供整体性参考，从而有效洞察市场趋势，更好地做出科学的营销决策。步骤1：通过配送管理系统软件采集本公司绿色水果配送超市的订单信息，将不同的配送订单以各超市来划分归类，从而将各年度每个月配送至超市的金额，从一月至十二月依次用y1,y2...y12表示，并汇总计算得到各个超市当年的总配送金额y。步骤2：计算各超市的月平均配送金额y̅=各个超市当年的总配送金额y/12。步骤3：根据方差公式计算方差S^2={(y1-y̅)^2+(y2-y̅)^2+(y3-y̅)^2+…+(y12-y̅)^2}/12，从而得到各个超市的月配送金额的方差S^2大小。步骤4：当方差S^2小于0.005评价该超市为超平稳型超市。当方差S^2大于等于0.005并且小于等于0.01评价该超市为一般平稳型超市。当方差S^2大于0.01评价该超市为波动型超市。Order information of green fruit delivery supermarkets of our company is collected via delivery management system software. Different delivery orders are classified by each supermarket, so as to calculate the monthly delivery amount data of each supermarket, then calculate the variance of the 12-month delivery amount. The variance is used to evaluate the delivery status of each supermarket, thereby assessing the procurement and delivery strategies of all supermarkets. All enterprises can use this dataset to understand the delivery trends of green fruits in different supermarkets, so as to balance the quantity of green fruits procured and delivered. For example, for ultra-stable supermarkets, enterprises in this industry do not need to pay continuous attention to their trends, and can maintain the quantity of green fruits procured and delivered on a monthly basis; for generally stable supermarkets, enterprises need to pay attention to their trends every quarter and appropriately adjust the procurement and delivery volume of green fruits; for volatile supermarkets, enterprises need to pay continuous attention to their trends every month, understand the changes in their delivery trends, so as to adapt to large-scale adjustments of green fruit procurement and delivery quantities. In addition, this dataset can also provide overall reference for relevant enterprises in the delivery industry (such as logistics companies, farmers' markets, etc.), so as to effectively gain insights into market trends and make more scientific marketing decisions. Step 1: Collect order information of green fruit delivery supermarkets of our company via delivery management system software. Classify different delivery orders by each supermarket, represent the monthly delivery amounts to supermarkets in a given year as y₁, y₂, ..., y₁₂ from January to December in sequence, and aggregate to calculate the total annual delivery amount y of each supermarket. Step 2: Calculate the monthly average delivery amount $ar{y}$ for each supermarket, where $ar{y} = y / 12$, with $y$ being the total annual delivery amount of the supermarket. Step 3: Calculate the variance $S^2$ of the monthly delivery amounts for each supermarket using the variance formula: $S^2 = frac{(y_1 - ar{y})^2 + (y_2 - ar{y})^2 + (y_3 - ar{y})^2 + dots + (y_{12} - ar{y})^2}{12}$. Step 4: Classify a supermarket as an ultra-stable supermarket if its variance $S^2 < 0.005$; classify it as a generally stable supermarket if $0.005 leq S^2 leq 0.01$; classify it as a volatile supermarket if $S^2 > 0.01$.

搜集汇总

数据集介绍

特点

该数据集包含绿色水果配送超市的金额数据，用于评估超市的配送情况和采购策略，适用于配送行业企业参考市场趋势。