  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.
