贵州省手制动阀产品需求评估数据

通过收集和分析贵州省对手制动阀销售相关数据，了解省内各地区对手制动阀的需求水平和消费偏好，针对高需求地区采用多备货，优先供货等方式，从而为本行业的所有企业制定生产策略，更好地为客户提供个性化的商品和服务。1、数据采集：采集平时地区对手制动阀的相关交易数据。2、数据处理，对采集到数据进行分类、合并，累加，便于分析使用。3、算法加工：将处理后的数据进行需求量分析：P=(A1(地区近6个月销售合计)-B1(地区近6个月特殊单合计))/（A2（省内各地区平均近6个月销售合计）-B2(省内各地区平均近6个月特殊单合计)）。说明：”近6个月“以销售当天日期往前推算6个月。4、数据分类分级：根据计算出的需求量水平，将p>1.1当成高需求地区，0.9-1.1当成中需求地区，p<0.9算低需求地区，根据地区等级安排更精准的生产营销策略。

This dataset is constructed by collecting and analyzing sales-related data of hand brake valves in Guizhou Province, aiming to understand the demand level and consumption preferences of hand brake valves across various regions within the province. For high-demand regions, measures including increased inventory stocking and priority supply will be implemented, to formulate production strategies for all enterprises in the industry and deliver more personalized products and services to customers. 1. Data Collection: Collect relevant transaction data of hand brake valves in each region. 2. Data Processing: Classify, merge and accumulate the collected data to facilitate subsequent analysis and application. 3. Algorithm Processing: Conduct demand analysis on the processed data using the formula: $P = frac{A1( ext{total sales of the region in the past 6 months}) - B1( ext{total special orders of the region in the past 6 months})}{A2( ext{average total sales of all regions in Guizhou Province in the past 6 months}) - B2( ext{average total special orders of all regions in Guizhou Province in the past 6 months})}$. Note: "Past 6 months" refers to the 6-month period counting backwards from the date of the transaction. 4. Data Classification and Grading: Classify regions based on the calculated demand value P: regions with P > 1.1 are categorized as high-demand regions, those with 0.9 ≤ P ≤ 1.1 as medium-demand regions, and those with P < 0.9 as low-demand regions. Develop more precise production and marketing strategies according to the regional classification tier.