Coupa Software Inc.

Dmitri Korobov

Scott Harris

Ahmad Sadeddin

A fraud detection system for detecting fraudulent acts related to payment discounts from digital transactional data is disclosed. In some embodiments, the fraud detection system is programmed or configured with data structures and/or database records that are arranged to detect an occurrence of a triggering event, such as receiving an early payment discount by a buyer account from a supplier account. The fraud detection system is programmed to analyze how a first amount charged for certain items by the supplier account to the buyer account before the triggering event has changed to a second amount after the triggering event from digital documents related to procurement transactions. The certain items may include items for sale or for other miscellaneous items. The digital documents may include catalogs, purchase requisitions, purchase orders, or invoices. The fraud detection system is programmed to further detect any potential fraud committed by the supplier account based on the analysis result. Finally, the fraud detection system is programmed to send a warning of the potential fraud to other buyer accounts that have been offered promotions, such as the early payment discounts, from the supplier account.

Detecting supplier fraud from digital transactional data

Techniques are provided for automated information retrieval based on supplier risk. In an embodiment, a selection of a supplier identifier value that identifies a supplier during a supplier onboarding process in an e-procurement system is received. A digital data repository of the e-procurement system is queried to seek a data record matching the selected supplier identifier value. In response to determining that the data repository has a record matching the selected supplier identifier value, a risk score value associated with the selected supplier identifier value is identified from a dataset of risk score values that is stored in the data repository. A unique mapping table is generated that maps each supplier risk score value of one or more supplier risk score values to one or more information request identifiers, the one or more supplier risk score values including the risk score value associated with the selected supplier identifier value. A custom digital data entry form is generated that comprises one or more information request fields that are mapped to the risk score value associated with the selected supplier identifier value. The custom data entry form is transmitted to a computer associated with the supplier corresponding to the selected supplier identifier value, the custom data form prompting the supplier to take action, respond, or contribute information back to the server computer.

Automated information retrieval based on supplier risk

A fraud detection system for detecting fraudulent acts related to payment discounts from digital transactional data is disclosed. In some embodiments, the fraud detection system is programmed or configured with data structures and/or database records that are arranged to detect an occurrence of a triggering event, such as receiving an early payment discount by a buyer account from a supplier account. The fraud detection system is programmed to analyze how a first amount charged for certain items by the supplier account to the buyer account before the triggering event has changed to a second amount after the triggering event from digital documents related to procurement transactions. The certain items may include items for sale or for other miscellaneous items. The digital documents may include catalogs, purchase requisitions, purchase orders, or invoices. The fraud detection system is programmed to further detect any potential fraud committed by the supplier account based on the analysis result and assist the buyer account with handling any potential fraud.

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San Francisco, CA, United States of America

Dmitri Korobov