This invention belongs to the fields of e-commerce,
data analysis, and platform monitoring technology. It proposes a method and
system for analyzing fraudulent order behavior. Specifically, it involves: deploying a customer service interaction collection and unified coding
scenario to identify merchant codes; collecting adjacent
response time interval sequences and customer service response field sequences for each merchant based on their codes; obtaining rhythmic indicators based on the adjacent
response time interval sequences and process transition indicators based on the customer service response field sequences; and finally obtaining the homogeneous product of fraudulent order behavior through the rhythmic and process transition indicators. The homogeneous product of fraudulent order behavior is then used to determine whether a merchant is engaging in fraudulent order behavior. This invention combines the characteristics of human service—affected by
information retrieval and input delays, resulting in discrete, multi-peaked rhythms and multi-path processes—with the stable, homogeneous form of scripted
rhythm convergence and path reuse. At the merchant level, it achieves the quantification of differences between normal customer service and scripted
group control behavior for fraudulent orders, improving merchant
management efficiency.