贵州省农产品销售地分析数据集

1、数据采集：从销售平台，订单系统采集销售订单数据，包括：订单签收地址、订单产品名称、数据、单价，销售金额、结算方式；
2、数据处理：1）根据订单产品名称、规格、数量，统计不同规格产品销售数量；2）结合订单签收地址，统计各产品的主要销售地以及各销售地对不同规格产品的购买数量；3）根据历史成交单价，销售金额、结算方式，设置评价系数，计算农产品在各销售地的购买偏好，及各地区对不同产品的需求量；4）生成数据集合，包括：地区名称、产品名称、订单数量、用户数量、平均单价、最高单价、销售额总量
3、数据应用：根据农产品在各销售地的购买偏好，及各地区对不同产品的需求量，可针对性的在各销售地区制定产品投放计划，以及优化产品结构，精准推送营销信息。

1. Data Collection: Sales order data is collected from sales platforms and order systems, including order signing address, order product name, order quantity, unit price, sales amount, and settlement method.
2. Data Processing: 1) Calculate the sales volume of products with different specifications based on the product name, specification and quantity of each order; 2) Count the main sales areas of each product and the purchase quantities of different product specifications in each sales area by combining the order signing addresses; 3) Set evaluation coefficients based on historical transaction unit prices, sales amounts and settlement methods, and derive the purchase preferences of agricultural products in each sales area and the regional demand for different products; 4) Generate a dataset including: region name, product name, order quantity, number of users, average unit price, maximum unit price, and total sales amount.
3. Data Application: Based on the purchase preferences of agricultural products in each sales area and the regional demand for different products, targeted product launch plans can be formulated for each sales area, product structure optimized, and marketing information accurately delivered.

搜集汇总

背景与挑战

背景概述

该数据集由国沄农业（贵州）有限公司自行产生，包含125790条记录，聚焦于贵州省农产品在各销售地的购买偏好和需求量分析。通过采集销售订单数据并处理，它帮助优化产品投放计划和资源配置，适用于精准营销和农业服务行业，但数据结构细节暂未提供。