水温传感器销售各个区域的金额分析数据

通过销帮帮CRM交易平台采集本公司的销售订单，将不同的销售订单以各自的省市来划分，从而计算各个市每个月的销售金额，再计算出12个月的销售金额的方差大小，方差大小用来评价各个市的销售情况，从而用于评估所有企业的生产和销售策略，所有企业可以通过该数据了解水温传感器在不同省市的销售行情，以平衡生产和销售水温传感器数量。步骤1：通过销帮帮CRM交易平台采集本公司的销售订单，将不同的销售订单以省市来划分归类，从而将各年度每个月销售至不同省市的金额，从一月至十二月依次用x1,x2...x12表示，并汇总计算得到各个市当年的总销售金额x。步骤2：计算各市的月平均销售金额x̅=各个市当年的总销售金额x/12。步骤3：根据方差公式计算方差s2={(x1-x̅)2+(x2-x̅)2+(x3-x̅)2+…+(x12-x̅)2}/12，从而得到各个市的月销售金额的方差s2大小。步骤4：当方差s2小于0.2评价该市为销售超平稳型市。当方差s2大于等于0.2并且小于等于0.4评价该省市份为销售一般平稳型市。当方差s2大于0.4评价该省市份为销售波动型市。对于销售超平稳型市，所有企业无需时时关注该市的行情，可每月保持好水温传感器的生产和销售数量；对于销售一般平稳型市，所有企业需每季度关注该市的行情，适当调整水温传感器的生产和销售数量；而对于销售波动型市，所有企业需每月时时关注该市行情，了解该市的销售行情变化，以适应大幅度调整水温传感器的生产和销售数量变化。This dataset is developed by collecting the sales orders of the company from the Xiaobangbang CRM Trading Platform. First, sales orders are categorized by their respective provinces and cities to derive the monthly sales revenue for each city. Next, the variance of the 12-month sales amounts is calculated to evaluate the sales performance of each city, which facilitates the evaluation of production and sales strategies for all enterprises. Enterprises can leverage this dataset to obtain insights into the sales trends of water temperature sensors across different provinces and cities, thereby balancing the production and sales volumes of water temperature sensors. Step 1: Collect sales orders of the company via the Xiaobangbang CRM Trading Platform, and classify these orders by provinces and cities. The monthly sales amounts destined for different provinces and cities in each year are denoted as x₁, x₂, …, x₁₂ in sequence from January to December, and the total annual sales revenue x for each city is aggregated and calculated. Step 2: Compute the monthly average sales revenue x̄ for each city using the formula: x̄ = x / 12, where x is the total annual sales revenue of the city. Step 3: Calculate the variance s² of the monthly sales amounts for each city via the standard variance formula: s² = [(x₁ - x̄)² + (x₂ - x̄)² + (x₃ - x̄)² + … + (x₁₂ - x̄)²] / 12 Step 4: Classify each city into one of three sales performance tiers based on the computed variance s²: 1. Ultra-stable sales cities: when s² < 0.2; 2. Generally stable sales cities: when 0.2 ≤ s² ≤ 0.4; 3. Volatile sales cities: when s² > 0.4. Corresponding operational guidelines are provided for each tier: - For ultra-stable sales cities: Enterprises do not need to closely monitor the local market trends, and may maintain consistent production and sales volumes of water temperature sensors on a monthly basis. - For generally stable sales cities: Enterprises should monitor the local market trends quarterly and make appropriate adjustments to the production and sales volumes of water temperature sensors. - For volatile sales cities: Enterprises need to closely monitor the local market trends monthly, track changes in local sales conditions, and make substantial adjustments to the production and sales volumes of water temperature sensors accordingly.

搜集汇总

数据集介绍

特点

该数据集记录了水温传感器在不同省市的销售金额，通过计算月平均销售金额和方差，评估各市的销售稳定性，为企业提供生产和销售策略的参考。数据规模为911条，每年更新一次，适用于制造业企业分析市场行情。