商品售后分析数据

通过记录仓库名称、商品名称及其分类、规格等信息，以及累计订单数和客诉订单数，计算总客诉率，帮助企业了解不同商品和仓库的售后表现。该分析可以识别出高客诉率的商品和分类，分析问题原因，优化商品质量和售后服务，提高客户满意度，降低客诉率，从而提升整体运营效率和品牌信誉。累计订单数：时间范围内该商品的累计销量 累计客诉订单数：时间范围内该商品的累计客诉订单数 总客诉率 = 累计客诉订单数 / 累计订单数This dataset collects information such as warehouse names, product names, their categories and specifications, as well as cumulative order counts and customer complaint order counts. It calculates the total customer complaint rate to help enterprises gain insights into the after-sales performance of different products and warehouses. This analysis can identify products and categories with high customer complaint rates, analyze the root causes of such issues, optimize product quality and after-sales services, enhance customer satisfaction, reduce complaint rates, and thereby improve overall operational efficiency and brand reputation. Cumulative order count: the cumulative sales volume of the corresponding product within the specified time range. Cumulative customer complaint order count: the cumulative number of customer complaint orders for the product within the specified time range. Total customer complaint rate = Cumulative customer complaint order count / Cumulative order count

搜集汇总

数据集介绍

特点

该数据集名为“商品售后分析数据”，由浙江小六供应链管理有限公司提供，包含10898条记录，每日更新。数据记录了仓库名称、商品名称及其分类、规格、累计订单数和客诉订单数等信息，用于计算总客诉率，帮助企业识别高客诉率的商品和分类，优化售后服务和商品质量。