Method and system for providing risk information in connection with transaction processing

1. A hybrid transaction processing system for processing authorization requests for transactions, comprising:

a communications network configured to clear and settle transactions; and

an offline platform communicatively integrated with the communications network;

wherein the communications network is configured by at least one real-time server to:

receive transaction information from a merchant for authorization of a first transaction between the merchant and a consumer;

apply the transaction information to a predictive model to generate risk information;

send the risk information and transaction information to an issuer of the consumer;

receive a transaction authorization decision from the issuer based on the risk information;

send the transaction authorization decision of the issuer to the merchant; and

provide profile generating information to the offline platform;

wherein the offline platform is configured by at least one offline server to:

receive the profile generating information from the communications network, the profile generating information comprising at least the risk information, transaction information, and authorization decision;

access historical transactional information; and

generate a first updated predictive model based on the profile generating information and the historical transactional information related to past transactions occurring before the first transaction using the predictive model;

wherein the communications network is further configured to:

receive the first updated predictive model from the offline platform; and

apply the first updated predictive model to a second transaction of the consumer to generate risk information for the second transaction.

2. The hybrid transaction processing system of claim 1 , wherein the communications network is further configured to:

periodically receive from the offline platform updated predictive models,

maintain a working profile of short-term transaction history during periods between receiving updated predictive models,

add to a working profile of short-term transaction history for the consumer transaction information of at least one intermediary transaction, wherein the intermediary transaction occurred between the first transaction and the second transaction, and wherein the intermediary transaction occurred between receiving the first updated predictive model and receiving a second updated predictive model, and

apply the transaction information of the intermediary transaction stored in the working profile of short-term transaction history to generate risk information for the second transaction.

3. The hybrid transaction processing system of claim 1 , wherein the profile generating information is provided to the offline platform on an ad-hoc basis according to the consumer's transactional behavior.

4. The hybrid transaction processing system of claim 1 , wherein updated predictive models are received by the communications network from the offline platform according to a predetermined schedule.

5. The hybrid transaction processing system of claim 4 , wherein the communications network is further configured to maintain a working profile of short-term transaction history of the consumer between receiving updated predictive models.

6. The hybrid transaction processing system of claim 1 , wherein the predictive model comprises an event profile of the consumer, wherein the event profile comprises information of transactional events performed by the consumer.

7. The hybrid transaction processing system of claim 6 , wherein the transactional events comprise the consumer's behavior with only the merchant during a specified period of time.

8. The hybrid transaction processing system of claim 6 , wherein the transactional events comprise tabulated information comprising location, merchant, merchant category, and time period information of the consumer.

9. The hybrid transaction processing system of claim 1 , wherein the offline platform is communicatively integrated via at least one shared data exchange standard for predictive model sharing.

10. The hybrid transaction processing system of claim 9 , wherein the shared data exchange standard for predictive model sharing comprises predictive model markup language (PMML).

11. The hybrid transaction processing system of claim 7 , wherein the specified period of time is a 10-minute period.

12. The hybrid transaction processing system of claim 1 , wherein the predictive model comprises tumbler and lock based rules.

13. The hybrid transaction processing system of claim 5 , wherein the working profile contains 10 minutes of previous transactions directly prior to the first transaction.

14. A computer-implemented method for processing authorization requests for transactions, comprising:

at a communications network configured to clear and settle transactions,

receiving transaction information from a merchant for authorization of a first transaction between the merchant and a consumer;

applying the transaction information to a predictive model to generate risk information;

sending the risk information and transaction information to an issuer of the consumer;

receiving a transaction authorization decision from the issuer based on the risk information;

sending the transaction authorization decision of the issuer to the merchant; and

providing profile generating information to an offline platform that is communicatively integrated with the communications network;

at the offline platform,

receiving the profile generating information from the communications network, the profile generating information comprising at least the risk information, transaction information, and authorization decision;

accessing historical transactional information; and

generating a first updated predictive model based on the profile generating information and the historical transactional information related to past transactions occurring before the first transaction using the predictive model;

at the communications network,

receiving the first updated predictive model from the offline platform; and

applying the first updated predictive model to a second transaction of the consumer to generate risk information for the second transaction.

15. The method of claim 14 , wherein the profile generating information is provided to the offline platform on an ad-hoc basis according to the consumer's transactional behavior.

16. The method of claim 14 , further comprising:

at the communications network,

periodically receiving from the offline platform updated predictive models,

maintain a working profile of short-term transaction history during periods between receiving updated predictive models,

adding to a working profile of short-term transaction history for the consumer transaction information of at least one intermediary transaction, wherein the intermediary transaction occurred between the first transaction and the second transaction, and wherein the intermediary transaction occurred between receiving the first updated predictive model and receiving a second updated predictive model, and

applying the transaction information of the intermediary transaction stored in the working profile of short-term transaction history to generate risk information for the second transaction.

17. The method of claim 14 , further comprising:

at the communications network,

receiving updated predictive models from the offline platform according to a predetermined schedule.

18. The method of claim 17 , further comprising:

at the communications network,

maintaining a working profile of short-term transaction history of the consumer between receiving updated predictive models.

19. The method of claim 14 , wherein the predictive model comprises an event profile of the consumer, wherein the event profile comprises information of transactional events performed by the consumer.

20. The method of claim 19 , wherein the transactional events comprise tabulated information comprising location, merchant, merchant category, and time period information of the consumer.