指定时间段不同品类出场环比变化率分析数据集

1.数据采集：通过园区农批综合管理系统采集近三年（2023年7月至2025年7月）进出场货物变化量数据，包括：日期、品类、上期出场量（吨）、本期出场量（吨）、环比出场（吨）、环比变化量（吨）、环比变化率（%）。 2.数据处理：根据采集的原始数据，按不同的实践维度（月）对整合后的数据进行分类和整理，计算环比变化量（吨）、环比变化率（%）。 3.数据应用：根据指定时间段不同品类进出场环比变化率分析数据集，分布不同品类和时间段的环比变化趋势，为企业决策、调整采购节奏和品类结构，优化库存管理，减少损耗。1. Data Collection: Obtain inbound and outbound cargo volume variation data over the three-year period from July 2023 to July 2025 via the Comprehensive Management System for Agricultural Products Wholesale Market Park, including: date, product category, prior-period outbound volume (ton), current-period outbound volume (ton), month-over-month outbound volume (ton), month-over-month volume change (ton), and month-over-month change rate (%). 2. Data Processing: Classify and organize the integrated data by monthly granularity using the collected raw data, and calculate the month-over-month volume change (ton) and month-over-month change rate (%). 3. Data Application: Based on the dataset analyzing the month-over-month change rates of inbound and outbound cargo for different product categories within a specified time frame, this dataset illustrates the month-over-month change trends across various product categories and time periods, so as to support enterprise decision-making, optimize procurement rhythm and product category structure, improve inventory management, and reduce losses.

搜集汇总

背景与挑战

背景概述

该数据集由贵阳农产品物流发展有限公司自行产生，聚焦于农产品物流领域，数据规模为24.7KB且每日更新。它通过分析近三年不同品类出场环比变化率，用于预判需求趋势和优化库存管理，支持企业决策和物流安排。