Provided a method, system, electronic device, and storage medium for detecting abnormal delivery behavior, at least partially solving the problems of low efficiency and practicality that exist in existing technologies In the first aspect, the disclosed embodiment provides a method for detecting abnormal delivery behavior, which includes: establishing a delivery key region database, wherein the delivery key region database stores address data of at least one case type and at least one address type; Obtain target address data from the key delivery area database based on the type of case to be tested; Based on the target address data, filter out the corresponding mailing list data; Determine at least one geographical feature data of the delivery address in the delivery sheet data; Identify abnormal feature values of the geographic feature data through clustering algorithms; Determine whether there is abnormal delivery behavior based on the recognition results of the abnormal feature values Optionally, the case types include hazardous goods, tobacco, telecommunications fraud, stolen goods, and others, and the address types include production, transit, and consumption locations Optionally, the address data includes a regional address and a detailed address, and the abnormal delivery behavior detection method also includes: after obtaining the target address data, determining whether the detailed address of the target address data is blank; According to the target address data, the corresponding mailing list data is filtered out, including: when the detailed address is blank, the corresponding mailing list data is filtered out based on the regional address in the target address data Optionally, the abnormal delivery behavior detection method also includes: when the detailed address is not blank, selecting the corresponding delivery note data based on the detailed address in the target address data, and directly reviewing the delivery note data