余杭区肉禽类农副产品市场需求量预测数据

本数据提供了余杭区肉禽类农副产品的市场需求预测值，旨在为肉禽供应链中的各方提供精准的决策支持。1.肉禽养殖厂商可以根据市场需求预测来调整养殖规模和屠宰计划，确保在需求高峰期能够满足市场需求，同时避免在需求低迷时产生过剩的库存。2.政府部门可以利用本数据来评估和监控肉禽产品的供需状况，及时制定或调整相关政策，如提供养殖补贴、技术援助等，以保障区域肉禽食品安全和市场稳定。3.市场研究者可以利用本数据进行深入分析，预测肉禽产品的消费趋势，为企业提供市场策略建议，帮助他们更好地把握市场动态。4.餐饮和零售商可以根据市场需求预测来优化库存管理，确保在需求高峰期有充足的供应，同时减少在需求低迷时的库存积压。1.数据抽取：从公司农副产品物流运输管理系统里抽取余杭区肉禽类农副产品的物流运输登记数据，包括运输业务编号、出发地、到达地（仅限余杭区）、出发时间、预计到达时间、运输吨位、肉禽品种。
2.数据预处理：对抽取的数据进行清洗，去除重复记录，处理缺失值，修正异常数据点。
3.数据加工与分析：（1）计算历史运输量：对于每种肉禽类农副产品，使用SUMIFS函数对运输吨位进行累加，分别计算出其过去365天、90天和30天的总运输量。（2）建立市场需求量预测模型：①每种肉禽类农副产品的未来30天市场需求量预测值=（过去365天总运输量÷365×a+过去90天的总运输量÷90×b+过去30天的总运输量÷30×c）÷3×30×k；②系数a、b、c反映数值对未来30天市场需求量预测的影响程度，k用于考虑未在平台进行登记的运输量部分，这些系数均通过市场调研并结合行业专家论证确定，不定期纠正。

This dataset provides market demand forecast values for meat and poultry agricultural products in Yuhang District, aiming to deliver precise decision-making support for all stakeholders in the meat and poultry supply chain.
1. Meat and poultry farmers can adjust their breeding scale and slaughter plans based on the market demand forecasts, ensuring they meet market demand during peak periods while avoiding excess inventory during low-demand cycles.
2. Government departments can use this dataset to evaluate and monitor the supply and demand status of meat and poultry products, and timely formulate or adjust relevant policies such as breeding subsidies and technical assistance, so as to guarantee regional food safety of meat and poultry products and maintain market stability.
3. Market researchers can conduct in-depth analyses using this dataset, predict consumption trends of meat and poultry products, provide market strategy recommendations for enterprises, and help them better grasp market dynamics.
4. Catering businesses and retailers can optimize inventory management based on the market demand forecasts, ensuring sufficient supply during peak demand periods while reducing inventory backlog during low-demand periods.

1. Data Extraction: Extract logistics and transportation registration data of meat and poultry agricultural products in Yuhang District from the company's agricultural product logistics and transportation management system, including transportation business number, origin, destination (limited to Yuhang District), departure time, estimated arrival time, transportation tonnage, and meat and poultry variety.
2. Data Preprocessing: Clean the extracted data, remove duplicate records, handle missing values, and correct abnormal data points.
3. Data Processing and Analysis:
(1) Historical Transportation Volume Calculation: For each type of meat and poultry agricultural product, use the SUMIFS function to accumulate the transportation tonnage, and calculate the total transportation volumes over the past 365 days, 90 days, and 30 days respectively.
(2) Establish Market Demand Forecast Model:
① The 30-day future market demand forecast value for each type of meat and poultry agricultural product = [(Total transportation volume over the past 365 days ÷ 365 × a + Total transportation volume over the past 90 days ÷ 90 × b + Total transportation volume over the past 30 days ÷ 30 × c) ÷ 3 × 30 × k]
② The coefficients a, b, and c reflect the impact degree of the corresponding historical data on the 30-day future market demand forecast. Coefficient k is used to account for the portion of transportation volume not registered on the platform. These coefficients are determined via market research and validated by industry experts, and are corrected irregularly.

搜集汇总

数据集介绍

特点

该数据集包含1516条余杭区肉禽类农副产品的市场需求预测数据，每日更新，以CSV格式存储。数据来源于企业自行产生的运输业务记录，包括运输业务编号、出发地、到达地、出发时间、预计到达时间、运输吨位、肉禽品种等信息。应用场景涵盖肉禽养殖厂商、政府部门、市场研究者、餐饮和零售商的决策支持。