INTERACTIVE TRANSACTION RETURNS

1 . A method for providing interactive transaction returns within a retailer network, the method comprising:

receiving a notification of a customer interaction from a customer within the retailer network, the notification including a messaging channel and interaction type;

accessing a database of customer profiles;

matching the customer with at least one customer profile from the database of customer profiles;

determining a customer interaction profile based on the interaction type and previous customer interaction data from the customer profile; and

providing the customer interaction profile to one or more retailers in the retailer network.

2 . The method of claim 1 , wherein the customer interaction profile comprises a response priority level for the interaction type.

3 . The method of claim 2 , further comprising:

determining a response threshold based on the customer interaction profile, wherein a response is not generated for the customer if the response priority level for the interaction type does not exceed the response threshold.

4 . The method of claim 1 , further comprising:

generating a response to the customer interaction based on the customer interaction profile.

5 . The method of claim 4 , further comprising:

sending the response to the customer;

receiving an additional customer interaction related to the response; and

modifying the customer interaction profile based on the additional customer interaction.

6 . The method of claim 1 , wherein the customer interaction profile includes data relating to one or more of: interaction frequency; time between interactions; time of day when interacting; and location of customer when interacting.

7 . The method of claim 1 , further comprising:

determining one or more conversation rules based on the customer interaction profile.

8 . The method of claim 7 , wherein the determining one or more conversation rules comprises employing machine learning and/or predictive analysis processes.

9 . The method of claim 7 , further comprising:

modifying at least one of the conversation rules based on new information added to the customer interaction profile, the modifying comprising employing machine learning and/or predictive analysis processes.

10 . A system for providing interactive transaction returns within a retailer network, the system configurable to cause:

receiving a notification of a customer interaction from a customer within the retailer network, the notification including a messaging channel and interaction type;

accessing a database of customer profiles;

matching the customer with at least one customer profile from the database of customer profiles;

determining a customer interaction profile based on the interaction type and previous customer interaction data from the customer profile; and

providing the customer interaction profile to one or more retailers in the retailer network.

11 . The system of claim 10 , wherein the customer interaction profile comprises a response priority level for the interaction type.

12 . The system of claim 11 , further configurable to cause:

determining a response threshold based on the customer interaction profile, wherein a response is not generated for the customer if the response priority level for the interaction type does not exceed the response threshold.

13 . The system of claim 10 , further configurable to cause:

generating a response to the customer interaction based on the customer interaction profile.

14 . The system of claim 13 , further configurable to cause:

sending the response to the customer;

receiving an additional customer interaction related to the response; and

modifying the customer interaction profile based on the additional customer interaction.

15 . The system of claim 10 , further configurable to cause:

determining one or more conversation rules based on the customer interaction profile.

16 . The system of claim 15 , further configurable to cause:

modifying at least one of the conversation rules based on new information added to the customer interaction profile, the modifying comprising employing machine learning and/or predictive analysis processes.

17 . A computer program product comprising computer-readable program code capable of being executed by one or more processors when retrieved from a non-transitory computer-readable medium, the program code comprising instructions configurable to cause:

receiving a notification of a customer interaction from a customer within a retailer network, the notification including a messaging channel and interaction type;

accessing a database of customer profiles;

matching the customer with at least one customer profile from the database of customer profiles;

determining a customer interaction profile based on the interaction type and previous customer interaction data from the customer profile; and

providing the customer interaction profile to one or more retailers in the retailer network.

18 . The computer program product of claim 17 , herein the customer interaction profile comprises a response priority level for the interaction type.

19 . The computer program product of claim 17 , the program code comprising instructions further configurable to cause:

generating a response to the customer interaction based on the customer interaction profile.

20 . The computer program product of claim 17 , the program code comprising instructions further configurable to cause:

determining one or more conversation rules based on the customer interaction profile.