河南省速冻榴莲肉销售分析数据

速冻榴莲肉的销售受地区经济结构，产业组成等条件影响，因此数据收集整理以省份作为划分区间。通过消费者购买速冻榴莲肉的型号重量、消费者的地区、消费者重复购买次数、复购率等，计算出河南省各区域客户需求级别，从而了解各区域市场潜力和消费者购买力情况，为企业相关产品批发、零售行业制定采购、销售策略提供数据支持，实现精准生产与供应链优化和区域针对性供货销售。本数据可帮助本行业所有企业更准确地掌握市场动态及市场需求，同时也为本行业的所有企业制定生产策略提供依据，提升各企业在行业内的销售竞争力。1、数据采集：通过公司内部订单管理系统采集到速冻榴莲肉的销售数据。2、数据处理：对采集到的数据进行脱敏、去错，其中订单编号和消费者id已进行脱敏转换处理。3、数据加工：将处理好的数据按区域累计订单(N)、区域订单总件数(M）、区域当月销售额(E)、区域总重复购买次数(W)、区域复购率(Q)、权重系数ɑ1、权重系数ɑ2、权重系数ɑ3、权重系数ɑ4进行算法加工，区域复购率(Q)= W/M，ɑ1+ɑ2+ɑ3+ɑ4=1，区域供货优先级系数=(M/E)*ɑ1+(M/M)*ɑ2+(E/10000)*ɑ3+Q*ɑ4。4、数据应用：用区域供货优先级系数来设定低、中、高三个等级，＜0.6为低优先级，0.6-0.8为中优先级，＞0.8高优先级，低优先级减少供货频率，高优先级则增加供货频率。The sales of frozen durian meat are influenced by regional economic structure, industrial composition and other relevant factors. Therefore, data collection and organization are divided by provincial administrative regions. By collecting indicators including the model and weight of frozen durian meat purchased by consumers, consumers' regions, total number of repeat purchases by consumers, and repurchase rate, we calculate the customer demand level of each region in Henan Province, so as to gain insights into the market potential and consumer purchasing power of each region. This provides data support for enterprises engaged in the wholesale and retail of related products to formulate procurement and sales strategies, enabling precise production, supply chain optimization, and targeted regional supply and sales operations. This dataset can help all enterprises in this industry accurately grasp market trends and market demand, while providing a basis for them to develop production strategies and enhance their sales competitiveness within the industry. 1. Data Collection: Sales data of frozen durian meat are collected via the company's internal order management system. 2. Data Preprocessing: The collected data are processed through desensitization and error removal, where order numbers and consumer IDs have been desensitized and converted. 3. Data Calculation & Processing: The preprocessed data are processed using a specified algorithm based on the following metrics: cumulative regional orders (N), total number of regional order pieces (M), regional monthly sales revenue (E), total number of regional repeat purchases (W), regional repurchase rate (Q, defined as Q = W/M), and weight coefficients α1, α2, α3, α4, where α1 + α2 + α3 + α4 = 1. The regional supply priority coefficient is calculated as: (M/E)*α1 + (M/M)*α2 + (E/10000)*α3 + Q*α4. 4. Data Application: The regional supply priority coefficient is used to classify regions into three priority levels: low, medium and high. Regions with a coefficient less than 0.6 are classified as low priority, those with a coefficient between 0.6 and 0.8 as medium priority, and those with a coefficient greater than 0.8 as high priority. For low-priority regions, the supply frequency shall be reduced, while for high-priority regions, the supply frequency shall be increased.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于河南省速冻榴莲肉的销售分析，包含546条记录，每月更新，通过订单编号、消费者地区、销售重量、复购率等26个字段，详细记录了销售数据。其核心特点是利用算法计算区域供货优先级系数（基于区域订单、销售额、复购率等指标），以评估各区域市场潜力和消费者购买力，旨在为企业提供数据支持，优化生产、供应链和销售策略，增强行业竞争力。