湖北地区产品洗护服务需求量分析预测数据

通过收集和分析湖北地区用户对产品洗护服务的需求量数据以及近六个月洗护需求量较去年同期的变化，对湖北地区用户对产品洗护的需求量作出的预测，店铺预测月洗护服务需求数为平台的商户调整产品材料采购、人员安排提供数据支持，区域大类预测月洗护服务需求数为店铺制定产品洗护服务销售策略提供数据支持，从而能更好地为用户提供更优质的服务体验。1.数据采集：采集湖北地区，店铺、洗护物品、大类、下单时间、洗护服务数量（件）、店铺近6个月平均同比变化率、大类近6个月平均同比变化率等数据。2.数据处理：（1）单日店铺洗护服务总数（件），通过SUMIF函数对数据统计范围内同店铺当日所有洗护服务数量（件）求和，例如本条店铺为“店铺001”、下单时间为“2023-11-1”，单日店铺洗护服务总数为数据统计范围内为“店铺001”、下单时间为“2023-11-1”的洗护服务数量总和；（2）店铺月洗护服务总数（件）=数据统计范围内对应店铺“洗护服务数量（件）”和；（3）店铺日洗护服务平均数（件）=店铺月洗护服务总数（件）/当月天数；（4）店铺预测月洗护服务需求数（件）=店铺月洗护服务总数（件）*（1+店铺近6个月平均同比变化率）；（5）区域大类预测月洗护服务需求数（件）=（数据统计范围内对应大类“洗护服务数量（件）”和）*（1+大类近6个月平均同比变化率），就数据统计范围内对应大类“洗护服务数量（件）”和而言，例如本条数据大类为“服饰”，数据统计范围内对应大类“洗护服务数量（件）”和即为数据统计范围内所有大类为“服饰”的洗护服务数量总和；3.数据应用：通过这样的分析流程，商户能够更准确地把握市场动态，从而调整产品洗护服务销售策略、材料采购、人员安排。

By collecting and analyzing the demand data of users in Hubei Province for product laundry care services and the changes in laundry care demand over the past six months compared to the same period last year, this dataset predicts the product laundry care demand of users in Hubei. The predicted monthly laundry care service demand for individual stores provides data support for platform merchants to adjust product material procurement and staff scheduling, while the predicted monthly laundry care service demand for regional product categories provides data support for stores to formulate sales strategies for laundry care services, thereby delivering better user service experiences.
1. Data Collection: Collect data including the region (Hubei Province), store information, laundry items, product categories, order time, number of laundry care services (units), the average year-on-year change rate of the store over the past six months, and the average year-on-year change rate of the product category over the past six months.
2. Data Processing:
(1) Total daily laundry care services per store (units): Use the SUMIF function to sum the number of laundry care services for all orders of the same store on the same day within the data statistics scope. For example, if the store is "Store 001" and the order time is "2023-11-1", the total daily laundry care services for this store is the sum of the number of laundry care services where the store is "Store 001" and the order time is "2023-11-1" within the data statistics scope.
(2) Total monthly laundry care services per store (units) = Sum of the "number of laundry care services (units)" for the corresponding store within the data statistics scope.
(3) Average daily laundry care services per store (units) = Total monthly laundry care services per store (units) / Number of days in the current month.
(4) Predicted monthly laundry care service demand for individual stores (units) = Total monthly laundry care services per store (units) * (1 + average year-on-year change rate of the store over the past six months).
(5) Predicted monthly laundry care service demand for regional product categories (units) = Sum of the "number of laundry care services (units)" for the corresponding product category within the data statistics scope * (1 + average year-on-year change rate of the product category over the past six months). For the sum of the "number of laundry care services (units)" for the corresponding product category: For example, if the product category is "Apparel", the sum of the "number of laundry care services (units)" for the corresponding product category within the data statistics scope is the total number of laundry care services where the product category is "Apparel" within the data statistics scope.
3. Data Application: Through this analysis workflow, merchants can accurately grasp market trends, thereby adjusting sales strategies for laundry care services, product material procurement, and staff scheduling.

搜集汇总

数据集介绍

特点

该数据集提供了湖北地区产品洗护服务需求量的详细分析和预测数据，包括店铺和区域大类的预测需求数，旨在帮助商户优化材料采购、人员安排和销售策略。数据集每月更新，包含2550条记录，适用于居民服务、修理和其他服务业的企业数据应用场景。