美白类产品北京市消费偏好数据

通过收集和分析全国范围内有对美白产品交易行为的省份的相关消费数据，了解各省份对美白产品的需求偏好，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。1、数据采集：采集全国范围内，存在美白产品消费行为的省份，相关销售交易数据。2、数据处理，对采集到的数据进行分类、梳理，便于分析使用。3、算法加工：将处理后的数据进行分析：全国平均销售金额＝全国销售总额/全国销售总数量，某省偏好指数L＝（某省销售总额/全国平均销售金额）*（全国销售总数量/全国销售总额），“全国销售总数量/全国销售总额”是常数，用于将算法确定为基于全国平均销售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，同品牌美白产品单价在各区域、不同时间的差价忽略不计，因此全国销售总额/全国销售总数量≠某省销售总额/某省销售数量，依据行业经验采用全国平均销售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，L>5.0记为高偏好省份，1.0＜L≤5.0记为中偏好省份，1.0≥L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 developed to understand the demand preferences for skin whitening products across various provinces, provide data support for full-chain enterprises in the industry to formulate production and sales strategies, and better deliver personalized products and services to customers, by collecting and analyzing relevant consumption data of provinces with skin whitening product transaction activities nationwide, and adopting measures such as increasing inventory for high-preference provinces and reducing inventory for low-preference provinces.

1. Data Collection: Gather relevant sales transaction data from provinces across the country that have skin whitening product consumption behaviors.
2. Data Processing: Classify and organize the collected data to facilitate subsequent analysis and utilization.
3. Algorithm Processing: Analyze the processed data using the following formulas:
- National average sales amount = Total national sales revenue / Total national sales volume
- Preference Index L of a province = (Total sales revenue of the province / National average sales amount) * (Total national sales volume / Total national sales revenue)
The term (Total national sales volume / Total national sales revenue) is a constant, which is used to standardize the algorithm to calculate demand based on the national average sales amount. The dataset is in a consolidated state, primarily aggregated by region rather than strictly following chronological order. Orders may involve bundling, group purchases, or promotional offers, and price differences of the same brand of skin whitening products across regions and different time periods are ignored. As a result, Total national sales revenue / Total national sales volume ≠ Total sales revenue of the province / Sales volume of the province, so the national average sales amount is adopted for standardized algorithm processing based on industry experience.
4. Data Classification, Grading and Reuse: Classify provinces based on the calculated preference index: provinces with L>5.0 are categorized as high-preference provinces, those with 1.0<L≤5.0 as medium-preference provinces, and those with L≤1.0 as low-preference provinces. Develop more precise production and marketing strategies according to the regional classification, such as increasing product distribution in high-preference provinces.

搜集汇总

背景与挑战

背景概述

该数据集记录了美白类产品在北京市的消费偏好数据，包含销售渠道、货品名称、销售金额等详细信息，并通过偏好指数L对各省份的消费偏好进行分类，为企业制定生产销售策略提供数据支持。