TRANSACTIONAL RISK DAILY LIMIT UPDATE ALARM

摘要

Embodiments relate to a transactional risk daily limit (TRDL) update alarm. Customer data including historical transaction data and customer profile data is accessed, along with economic data from an external data source. A TRDL alarm analytics model is applied to the customer data and the economic data to predict a number of transactions in a specified time period that are expected to exceed a TRDL. The TRDL alarm analytics model takes into account a payment transaction pattern associated with the customer. A threshold value is compared to the number of transactions in the specified time period that are expected to exceed the TRDL. An increase in the TRDL is requested to be applied at least during the specified time period based on the number of transactions in the specified time period that are expected to exceed the TRDL being greater than the threshold value.

主权项

1. A system for providing a transactional risk daily limit (TRDL) update alarm, the system comprising:
a processor communicatively coupled to a network; and a TRDL processing tool executable by the processor, the TRDL processing tool configured to implement a method, the method comprising:
accessing customer data including historical transaction data and customer profile data associated with a customer;accessing economic data from an external data source, the accessing via the network;applying a TRDL alarm analytics model to the customer data and the economic data to predict a number of transactions in a specified time period that are expected to exceed a TRDL associated with the customer, the TRDL alarm analytics model taking into account a payment transaction pattern associated with the customer; comparing a threshold value to the number of transactions in the specified time period that are expected to exceed the TRDL associated with the customer; and requesting an increase in the TRDL to be applied at least during the specified time period based on the number of transactions in the specified time period that are expected to exceed the TRDL associated with the customer being greater than the threshold value.