保健品商品不同省份消费偏好数据

通过收集和分析全国范围内有对保健品商品交易行为的省份，相关消费数据，了解各省份对保健品商品的需求偏好，针对高偏好省份采用多备货，低偏好省份减少库存等措施，从而为本行业的全链条企业制定生产销售策略提供数据支撑，更好地为客户提供个性化的商品和服务。（示例数据对一个省份进行展示，数据包内包含国内全部拥有交易行为的地区）1、数据采集：采集全国范围内，存在保健品商品消费行为的省份，相关销售交易数据。2、数据处理，对采集到的数据进行分析使用。3、算法加工：将处理后的数据进行分析：全国平均订单金额＝全国销售额/全国订单总数量，某省偏好指数L＝（某省销售总额/全国平均订单金额）*（全国订单总数量/全国销售额），“全国订单总数量/全国销售额”是常数，用于将算法确定为基于全国平均订单金额的需求量进行计算。数据为整理后状态，主要根据地区汇集，不完全按照时间先后顺序；订单可能存在捆绑/拼单/活动优惠，同品牌类型保健品商品的单价的差价忽略不计，因此全国总销售额/全国订单总数量≠某省销售总额/某省销售数量，依据行业经验采用全国平均订单金额进行标准化算法处理。4、数据分类分级复用：根据计算出的偏好指数，p>5.0记为高偏好省份，1.0＜P≤5.0记为中偏好省份，1.0≥P记为低偏好省份，根据地区等级安排更精准的生产营销策略，例如：加大高偏好省份的铺货量等。

This dataset is constructed by collecting and analyzing relevant consumption data of provinces across China that have engaged in health supplement transaction activities, aiming to understand the demand preferences for health supplements across different provinces. Measures including increasing inventory for high-preference provinces and reducing inventory for low-preference provinces will be implemented, so as to provide data support for enterprises across the entire industry chain to formulate production and sales strategies, and better deliver personalized products and services to customers. The sample data displays information for one province, and the full dataset covers all domestic regions with transaction activities.

1. Data Collection: Collect relevant sales transaction data of all provinces nationwide that have health supplement consumption behaviors.
2. Data Processing: Analyze and utilize the collected data.
3. Algorithm Processing: Analyze the processed data with the following formulas:
- National average order amount = National total sales revenue / Total number of national orders
- Preference index L of a given province = (Total sales revenue of the province / National average order amount) × (Total number of national orders / National total sales revenue)
The term "Total number of national orders / National total sales revenue" is a constant, which is used to standardize the algorithm for demand calculation based on the national average order amount. The dataset is in an aggregated state, mainly grouped by region, and not fully arranged in chronological order. Orders may involve bundling, group purchases, or promotional offers, and price differences of health supplement products under the same brand and category are ignored. As a result, National total sales revenue / Total number of national orders ≠ Total sales revenue of a given province / Total number of orders in that province. Based on industry experience, the national average order amount is adopted for standardized algorithm processing.
4. Data Classification, Grading and Reuse: Classify provinces based on the calculated preference index: mark provinces with p > 5.0 as high-preference provinces, 1.0 < p ≤ 5.0 as medium-preference provinces, and p ≤ 1.0 as low-preference provinces. Develop more precise production and marketing strategies according to the regional classification, such as increasing inventory allocation for high-preference provinces, etc.

搜集汇总

背景与挑战

背景概述

该数据集包含全国范围内保健品商品的消费数据，用于分析各省份的消费偏好，帮助企业优化库存和销售策略。数据规模为611条，每年更新一次，适用于批发和零售业的企业数据分析和决策支持。