河北净菜南大堡农批数智供应链全景可视化数据产品

面对农产品新零售商业模式变革，通过创新商业零售模式沉淀供应链管理数据，以精益供应链数据管理为抓手付赋能新零售商业模式。南大堡智慧农批（贸）综合运营管理平台有效促进各种类型的多源数据融合，通过制定得当的融合标准有效应对农产品大数据所表现出的不规范性、不正确性以及重复性等种种问题。统一数据加工的规范流程，将农产品在批发环节的存储、加工、交易等流程标准化，在对各种类型的数据统一采集，统一存储的基础上，对这些数据展开较细致的比对，当进行一系列处理后，可以得到结构化数据，再对所得数据展开更深层次的剖析，而后集中管理。通过进行科学有效的统筹管理，切实提高数据质量，并充分彰显数据价值。建立“数据管理、决策与创新”的新管理机制，改进各利益主体过去所一直沿用的合作方式，让多主体在产业链各个环节保持良好的协作，促进产业链转型。可实现的功能如下：1. 集中农产品批发产业链数据，逐步完善农产品主产区对应的产量分布数据，收集买方和卖方需要的信息数据，扩展科研、保险以及金融等各个领域的信息数据等。2. 建立大数据支撑平台，实现农产品批发全产业链发展相关各类数据的整合集成、提供社会公众、企业用户的统一门户入口。3. 建立农产品批发大数据建设集成平台，建立农产品产量以及价格兼顾的监测系统，将多元化子系统相关联的应用数据全部集中到大数据中心，再展开相对深入的细致剖析与展示，提供建模所需要的一套测试工具集，便于公司研发工作者建立相应的模型，并对有关变量因子展开深入探究。4. 建立流通管理系统：农产品流通信息库，方便实时了解产品销售途径等；建立消费监测预测系统，基于市场变化和资本市场变化进行买方分析；建立价格监测预测系统，负责深入探究可能对农产品价格产生一定影响的相关因素，并在价格方面设立监测预警机制，对未来一段时期可能出现的价格趋势展开预测。

Facing the business model revolution of new retail of agricultural products, this work precipitates supply chain management data through innovative commercial retail models, and empowers the new retail business model with lean supply chain data management as the core starting point. The Nandabao Smart Agricultural Wholesale (Trade) Comprehensive Operation Management Platform effectively promotes the fusion of various types of multi-source data, and effectively addresses issues such as non-standardization, inaccuracy and redundancy of agricultural product big data by formulating appropriate fusion standards. It unifies the standardized processes for data processing, standardizes the storage, processing and transaction processes of agricultural products in the wholesale link. On the basis of unified collection and storage of various types of data, it conducts detailed comparison of these data. After a series of processing, structured data can be obtained, followed by deeper analysis and centralized management of the obtained data. Through scientific and effective overall management, the data quality is effectively improved, and the value of data is fully demonstrated. A new management mechanism of "data management, decision-making and innovation" is established, improving the cooperation methods previously adopted by various stakeholders, enabling multiple subjects to maintain good collaboration in all links of the industrial chain, and promoting the transformation of the industrial chain.

The achievable functions are as follows:
1. Centralize data across the agricultural product wholesale industrial chain, progressively improve yield distribution data for major agricultural product producing areas, collect information required by buyers and sellers, and expand information data in fields such as scientific research, insurance and finance.
2. Establish a big data support platform to integrate various types of data related to the development of the entire agricultural product wholesale industrial chain, and provide a unified portal entry for the public and enterprise users.
3. Establish an integrated platform for agricultural product wholesale big data construction, and develop a monitoring system that covers both agricultural product output and prices. Centralize the application data of all related diversified subsystems into the big data center, then conduct in-depth analysis and visualization, and provide a complete test toolkit for modeling, enabling company researchers to build corresponding models and conduct in-depth exploration of relevant variable factors.
4. Establish a circulation management system: build an agricultural product circulation information database to facilitate real-time access to product sales channels and other information; establish a consumption monitoring and forecasting system to conduct buyer analysis based on market and capital market changes; establish a price monitoring and forecasting system, which is responsible for in-depth exploring factors that may affect agricultural product prices, establish a price monitoring and early warning mechanism, and forecast possible price trends in the coming period.

搜集汇总

背景与挑战

背景概述

该数据集为农产品批发供应链可视化平台，通过标准化存储、加工、交易等环节数据，构建多源数据融合的大数据分析体系，支持产量监测、价格预测等产业链决策功能。