基于数据驱动的社区团购助农产品供应链优化研究

Research on the Optimization of the Supply Chain of Agricultural Products Assisted by Community Group Purchase Based on Data Drive

目前,社区团购助农产品供应链存在销售流通环节冗长、流通效率低、流通损耗率较高、多级供应链导致市场信息不畅的问题。基于数据驱动对社区团购助农产品进行供应链优化,可以为助农工作提供有效指导。利用大数据分析技术,基于目标消费者的销售数据进行需求预测,可以促进助农产品的销售;通过大数据技术的监测与信息反馈,控制物流运作中产生的风险;基于数据驱动对数据进行清洗、审核、筛选、排序等,能够帮助社区团购企业及农户发现数据中的隐含规律性信息,从而优化社区团购助农产品供应链。

At present,the supply chain of agricultural products assisted by community group purchase has the problems of long sales and circulation links,low circulation efficiency,high circulation loss rate and poor market information due to multi-level supply chain.The optimization of supply chain for agricultural products assisted by community group purchase based on data drive can provide effective guidance for agricultural assistance.Using big data analysis technology to make the demand forecasting based on the sales data of target consumers can promote the sales of agricultural products;through monitoring and information feedback of big data technology,the risk generated in logistics operation can be controlled;cleaning,reviewing,screening and sorting data based on data drive can help community group buying enterprises and farmers find the hidden regularity information in the data,so as to optimize the supply chain of agricultural products assisted by community group buying.