香氛商品月度市场潜力分析数据

本数据能够帮助本公司（经销商）精准识别不同地区香氛商品的月度市场潜力度情况，淘汰低市场潜力的香氛商品，优化库存结构，提升销售效率，增强客户满意度，提高复购率。通过将采购和营销资源集中在市场潜力指数高的香氛商品上，提高供应链效率，增强市场竞争力，提升投资回报率（ROI）。同时，本数据也有利于上游品牌商和下游零售商分析比较不同香氛型号的市场潜力指数及趋势，从而优化采购决策。1.数据收集和预处理：收集公司香氛商品不同品类月度销售汇总统计数据，包括统计月份、销售地区、商品品类、当月该品类商品销量 / 个、当月所有商品总销量 / 个、当月该品类商品销售额 / 万元、当月所有商品总销售额 / 万元、该品类商品消费者评分。通过数据清洗（如去除重复值、处理缺失值、纠正错误数据等）确保数据质量。
2.当月该品类商品销量占比计算：当月该品类商品销量占比 = 当月该品类商品销量 / 当月所有商品总销量。
3.当月该品类商品销售额占比计算：当月该品类商品销售额占比 = 当月该品类商品销售额 / 当月所有商品总销售额。
4.该品类商品月度市场潜力指数构建：该品类商品月度市场潜力指数 = W1× 当月该品类商品销量占比 + W2× 当月该品类商品销售额占比 + W3×（该品类商品消费者评分 / 5），其中 W1、W2、W3 是权重系数，根据各因素的影响程度经内部专家研判后进行调整设定，W1 + W2 + W3 = 1。
5.趋势识别：使用 ARIMA（自回归积分滑动平均）模型进行时间序列分析，基于该品类商品的历史市场潜力指数数据，识别该品类商品的市场潜力指数趋势。

This dataset enables our company (distributor) to accurately identify the monthly market potential of fragrance products across different regions, eliminate low-potential fragrance products, optimize inventory structure, improve sales efficiency, enhance customer satisfaction, and boost repurchase rates. By concentrating procurement and marketing resources on fragrance products with high market potential indices, we can improve supply chain efficiency, strengthen market competitiveness, and enhance Return on Investment (ROI). Meanwhile, this dataset also helps upstream brand manufacturers and downstream retailers analyze and compare the market potential indices and trends of different fragrance product models, so as to optimize their procurement decisions.
1. Data Collection and Preprocessing: Collect monthly aggregated sales statistics for different categories of the company's fragrance products, including statistical month, sales region, product category, monthly sales volume of this category (unit), total monthly sales volume of all products (unit), monthly sales revenue of this category (ten thousand yuan), total monthly sales revenue of all products (ten thousand yuan), and consumer ratings of this category. Ensure data quality through data cleaning (such as removing duplicate values, handling missing values, correcting erroneous data, etc.).
2. Calculation of Monthly Sales Volume Proportion of the Product Category: Monthly sales volume proportion of the product category = Monthly sales volume of this category / Total monthly sales volume of all products.
3. Calculation of Monthly Sales Revenue Proportion of the Product Category: Monthly sales revenue proportion of the product category = Monthly sales revenue of this category / Total monthly sales revenue of all products.
4. Construction of Monthly Market Potential Index for the Product Category: Monthly market potential index of the product category = W1 × Monthly sales volume proportion of this category + W2 × Monthly sales revenue proportion of this category + W3 × (Consumer ratings of this category / 5), where W1, W2, W3 are weight coefficients, adjusted and set based on the influence degree of each factor through internal expert assessment, satisfying W1 + W2 + W3 = 1.
5. Trend Identification: Conduct time series analysis using the ARIMA (AutoRegressive Integrated Moving Average) model, and identify the trend of the market potential index of the product category based on its historical market potential index data.

搜集汇总

背景与挑战

背景概述

该数据集为香氛商品月度市场潜力分析数据，包含详细的销售统计和市场潜力指数计算，适用于优化库存和提升销售效率。数据每月更新，适用于制造业企业进行市场分析和决策优化。