全国区域经销商对汽车车门下护板需求量数据
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通过收集和分析全国区域各个经销商对车门下护板的消费相关数据,了解经销商对车门下护板的购买力水平和消费偏好，从而了解该产品是否畅销，从而为本行业的所有企业制定服务策略，更好地为用户提供个性化的商品和服务。对于不同等级的经销商，本行业的所有公司可以在产品价格、拿货渠道、收入来源以及销售范围等制定不同的营销策略。1.数据采集：采集各季度各个经销商对车门下护板的相关交易数据。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：需求指数P={a1（单笔最少订单数量）/b1（单笔最少消费额度）+a2（单笔最高订单数量）/b2（单笔最高消费额度）)}*k，k为消费系数，经销商归属于不同的经济区域k值不同，全国分为四大经济区域：东部地区、东北地区、中部地区和西部地区，按经验取值东部地区k值为1.1，东北和中部地区k值为1.15，西部地区k值为1.2。4、数据分类分级：根据计算出的需求指数，将经销商等级划分为“高、中、低”不同的类别和级别（30分以上标记为“高等级”，20-30分区间内标记为“中等级”，20分以下标记为“低等级”）。
This dataset is designed to collect and analyze consumption-related data of lower door trim panels from dealers across all regional divisions in China, aiming to grasp the purchasing power and consumption preferences of dealers for lower door trim panels, assess the market popularity of this product, and formulate service strategies for all enterprises in the relevant industry to deliver personalized products and services to end-users. For dealers at different tiers, companies in this industry can develop targeted marketing strategies across aspects including product pricing, sourcing channels, revenue sources, and sales scopes. The dataset construction workflow consists of four core stages: 1. Data Collection: Gather relevant transaction data of lower door trim panels from each dealer on a quarterly basis. 2. Data Processing: Classify, merge, and accumulate the collected data to enable efficient subsequent analysis. 3. Algorithm-driven Demand Analysis: Conduct demand analysis on the processed data by calculating the demand index P using the formula: P = [(a1 / b1) + (a2 / b2)] * k, where a1 represents the minimum single-order quantity, b1 represents the minimum single-order transaction amount, a2 represents the maximum single-order quantity, b2 represents the maximum single-order transaction amount, and k is the consumption coefficient. The value of k varies according to the economic region that the dealer belongs to. China is divided into four major economic regions: Eastern Region, Northeast Region, Central Region, and Western Region. Based on empirical experience, the k value is set to 1.1 for the Eastern Region, 1.15 for both the Northeast and Central Regions, and 1.2 for the Western Region. 4. Data Classification and Grading: Divide dealers into three tiers (high, medium, low) based on the calculated demand index: dealers with a score above 30 are marked as "high-tier", those with a score ranging from 20 to 30 are marked as "medium-tier", and those with a score below 20 are marked as "low-tier".
