Request processing via rich messaging systems
Disclosed embodiments provide a framework to enable rich messaging via offline channels to obtain payments for completion of business transactions. In response to a request to obtain information associated with a customer to support a transaction performed via a communications session, a messaging platform transmits a request to a computing device associated with the customer to obtain authorization for the information. In response to obtaining the authorization for the information from the computing device associated with the customer, the messaging platform uses the authorization at a processing service to obtain the information subject to the authorization. The information is provided to fulfill the initial request.
1. A computer-implemented method comprising:
receiving a capability request to determine a set of capabilities for submitting payments associated with a customer computing device, wherein the capability request is received during ongoing communications between a customer and an end agent using a first communications protocol, and wherein the payments are submitted using a second communications protocol;
receiving a payment request during the ongoing communications, wherein the payment request is for obtaining the payments using the second communications protocol, wherein the payment request is associated with the end agent, and wherein the payment request is received based on the set of capabilities;
training a machine learning model to determine a set of recommendations associated with the customer, wherein the machine learning model is trained using a dataset including recommendations to a set of customers and responses to input requests;
using the trained machine learning model to generate a response according to the set of recommendations, wherein the response includes an authorization request to obtain authorization for the payment request;
transmitting the authorization request during the ongoing communications, wherein the authorization request is transmitted using the second communications protocol;
receiving authorization data and payment information during the ongoing communications, wherein the authorization data and the payment information are received using the second communications protocol; and
updating the machine learning model based on the authorization request and the set of recommendations.
2. The computer-implemented method of claim 1 , wherein the payment information specifies a payment method.
3. The computer-implemented method of claim 1 , wherein the authorization data includes biometric information associated with the customer.
4. The computer-implemented method of claim 1 , further comprising:
providing a digital receipt corresponding to the payment request, wherein when the digital receipt is received at the customer computing device, the digital receipt is presented to the customer.
5. The computer-implemented method of claim 1 , wherein the authorization request is encrypted using a cryptographic key, and wherein the authorization request is decryptable by the customer computing device.
6. The computer-implemented method of claim 1 , wherein:
the authorization data and the payment information are encrypted using a cryptographic key associated with the customer computing device; and
the computer-implemented method further comprises decrypting the authorization data and the payment information.
7. The computer-implemented method of claim 1 , wherein the second communications protocol is a Rich Communication Services (RCS) protocol.
8. A system, comprising:
one or more processors; and
memory storing thereon instructions that, as a result of being executed by the one or more processors, cause the one or more processors to:
receive a capability request to determine a set of capabilities for submitting payments associated with a customer computing device, wherein the capability request is received during ongoing communications between a customer and an end agent using a first communications protocol, and wherein the payments are submitted using a second communications protocol;
receive a payment request during the ongoing communications, wherein the payment request is for obtaining the payments using the second communications protocol, wherein the payment request is associated with the end agent, and wherein the payment request is received based on the set of capabilities;
train a machine learning model to determine a set of recommendations associated with the customer, wherein the machine learning model is trained using a dataset including recommendations to a set of customers, and responses to input requests;
use the trained machine learning model to generate a response according to the set of recommendations, wherein the response includes an authorization request to obtain authorization for the payment request;
transmit the authorization request during the ongoing communications, wherein the authorization request is transmitted using the second communications protocol;
receive authorization data and payment information during the ongoing communications, wherein the authorization data and the payment information are received using the second communications protocol; and
update the machine learning model based on the authorization request and the set of recommendations.
9. The system of claim 8 , wherein the payment information specifies a payment method.
10. The system of claim 8 , wherein the authorization request is encrypted using a cryptographic key, and wherein the authorization request is decryptable by the customer computing device.
11. The system of claim 8 , wherein the instructions further cause the one or more processors to:
provide a digital receipt corresponding to the payment request, wherein when the digital receipt is received at the customer computing device, the digital receipt is presented to the customer.
12. The system of claim 8 , wherein the authorization data includes biometric information associated with the customer.
13. The system of claim 8 , wherein:
the authorization data and the payment information are encrypted using a cryptographic key associated with the customer computing device; and
the instructions further cause the one or more processors to decrypt the authorization data and the payment information.
14. The system of claim 8 , wherein the second communications protocol is a Rich Communications Services (RCS) protocol.
15. A non-transitory, computer-readable storage medium storing thereon executable instructions that, as a result of being executed by one or more processors of a computer system, cause the one or more processors to:
receive a capability request to determine a set of capabilities for submitting payments associated with a customer computing device, wherein the capability request is received during ongoing communications between a customer and an end agent using a first communications protocol, and wherein the payments are submitted using a second communications protocol;
receive a payment request during the ongoing communications, wherein the payment request is for obtaining the payments using the second communications protocol, associated wherein the payment request is associated with the end agent, and wherein the payment request is received based on the set of capabilities;
train a machine learning model to determine a set of recommendations associated with the customer, wherein the machine learning model is trained using a dataset including recommendations to a set of customers and responses to input requests;
use the trained machine learning model to generate a response according to the set of recommendations, wherein the response includes an authorization request to obtain authorization for the payment request;
transmit the authorization request during the ongoing communications, wherein the authorization request is transmitted using the second communications protocol;
receive authorization data and payment information during the ongoing communications, wherein the authorization data and the payment information are received using the second communications protocol; and
update the machine learning model based on the authorization request and the set of recommendations.
16. The non-transitory, computer-readable storage medium of claim 15 , wherein the authorization request is encrypted using a cryptographic key, and wherein the authorization request is decryptable by the customer computing device.
17. The non-transitory, computer-readable storage medium of claim 15 , wherein the executable instructions further cause the one or more processors to:
provide a digital receipt corresponding to the payment request, wherein when the digital receipt is received at the customer computing device, the digital receipt is presented to the customer.
18. The non-transitory, computer-readable storage medium of claim 15 , wherein the authorization data includes biometric information associated with the customer.
19. The non-transitory, computer-readable storage medium of claim 15 , wherein the payment information specifies a payment method.
20. The non-transitory, computer-readable storage medium of claim 15 , wherein:
the authorization data and the payment information are encrypted using a cryptographic key associated with the customer computing device; and
the executable instructions further cause the one or more processors to decrypt the authorization data and the payment information.
21. The non-transitory, computer-readable storage medium of claim 15 , wherein the second communications protocol is a Rich Communications Services (RCS) protocol.