义乌区域客户对老豆腐需求量数据
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通过收集和分析义乌客户对老豆腐需求相关数据,了解客户对老豆腐的购买力水平和需求偏好，从而了解该产品是否畅销，从而为本行业的所有企业制定生产策略，更好地为用户提供个性化的商品和服务。1.数据采集：采集平时客户对老豆腐的相关交易数据。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（单笔最少购买金额）/b1（单笔最少订单数量）+a2（单笔最高购买金额）/b2（单笔最高订单数量）+a3(平均购买金额)/b3(平均订单数量)}*k，k为消费系数，不同地区系数大小值不同，按经验取值义乌市k值为1.2。4、数据分类分级：根据计算出的需求量水平，将客户等级划分为“高、中、低”不同的类别和级别（5分以上标记为“高等级”，2-5分区间内标记为“中等级”，2分以下标记为“低等级”），帮助公司更好地理解客户，高等级企业可每月1至2次与企业沟通，中等级可每季度1至2次与企业沟通，低等级企业可每半年1至2次与企业沟通，从而制定更精准的生产营销策略。
This dataset is constructed by collecting and analyzing demand-related data of Yiwu customers for aged tofu, with the objectives of understanding customers' purchasing power and demand preferences, evaluating the market popularity of this product, and formulating production strategies for all enterprises in the industry to better deliver personalized products and services. 1. Data Collection: Collect daily transaction data related to customers' purchases of aged tofu. 2. Data Preprocessing: Classify, merge and accumulate the collected data to facilitate subsequent analysis. 3. Algorithm-based Processing: Conduct demand analysis on the preprocessed data using the formula: P = {a1 (minimum single transaction amount) / b1 (minimum single order quantity) + a2 (maximum single transaction amount) / b2 (maximum single order quantity) + a3 (average transaction amount) / b3 (average order quantity)} * k where k is the consumption coefficient that varies across regions. According to empirical values, the coefficient k for Yiwu City is set to 1.2. 4. Data Classification and Grading: Divide customers into "high", "medium" and "low" levels based on the calculated demand level: marked as "high level" for scores above 5, "medium level" for scores within the range of 2 to 5, and "low level" for scores below 2. This helps enterprises better understand their customers: communicate with high-level customers 1 to 2 times per month, with medium-level customers 1 to 2 times per quarter, and with low-level customers 1 to 2 times every six months, so as to develop more precise production and marketing strategies.
