杭州区域客户对年糕条需求量数据

通过收集和分析杭州客户对年糕条消费相关数据,了解客户对年糕条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：采集平时客户对年糕条的相关交易数据。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）+a3(平均订单数量)/b3(平均消费额度)}*k，k为消费系数，不同地区系数大小值不同，按经验取值杭州地区k值为0.7。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（6000分以上标记为“高等级”，4000-6000分区间内标记为“中等级”，4000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 developed by collecting and analyzing consumption-related data of rice cake strips from Hangzhou customers, aiming to investigate customers' purchasing power and consumption preferences towards rice cake strips, verify the market popularity of this product, and formulate production strategies for all enterprises in the industry to better provide personalized products and services.
1. Data Collection: Collect routine transaction data related to customers' rice cake strip consumption.
2. Data Preprocessing: Classify, merge and accumulate the collected data to facilitate subsequent analysis.
3. Algorithm-based Demand Analysis: Conduct demand analysis on the preprocessed data using the formula: $P = left( frac{a_1}{b_1} + frac{a_2}{b_2} + frac{a_3}{b_3}
ight) imes k$, where $a_1$ = minimum order quantity per single transaction, $b_1$ = minimum consumption amount per single transaction, $a_2$ = maximum order quantity per single transaction, $b_2$ = maximum consumption amount per single transaction, $a_3$ = average order quantity per single transaction, $b_3$ = average consumption amount per single transaction; $k$ is the consumption coefficient that varies across regions, with an empirical value of 0.7 for Hangzhou.
4. Data Classification and Grading: Divide customers into three categories (high, medium, low) based on the calculated demand score: customers with a score above 6000 are marked as "high-level", those with a score in the range of 4000 to 6000 are marked as "medium-level", and those with a score below 4000 are marked as "low-level". 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 formulate more precise production and marketing strategies.