Although procurement fraud is always a critical problem in almost every free market, audit departments still have a strong reliance on reporting from informed sources when detecting them. With our generous cooperator, SF Express, sharing the access to the database related with procurements took place from 2015 to 2017 in their company, our team studies how machine learning techniques could help with the audition of one of the most profound crime among current chinese market, namely procurement frauds. By representing each procurement event as 9 specific features, we construct neural network models to identify suspicious procurements and classify their fraud types. Through testing our models over 50000 samples collected from the procurement database, we have proven that such models -- despite having space for improvements -- are useful in detecting procurement frauds.

翻译：尽管采购欺诈几乎是每个自由市场中长期存在的关键问题，审计部门在检测此类欺诈行为时仍高度依赖知情人士的举报。在与我们的慷慨合作方顺丰速运共享其公司2015年至2017年间采购相关数据库访问权限的基础上，团队研究了机器学习技术如何助力审计当前中国市场最严重的犯罪类型之一——采购欺诈。通过将每起采购事件表示为9个特定特征，我们构建了神经网络模型以识别可疑采购并对其欺诈类型进行分类。通过对从采购数据库中收集的5万余个样本进行模型测试，我们证明了此类模型——尽管仍有改进空间——在检测采购欺诈方面具有实用价值。