Prompt feature to leave voicemail for appropriate attribute-based call back to customers
Systems and methods are provided for attribute-based client callbacks. A client is prompted to leave a voice message. Attributes are extracted from the voice message and, based on the attributes, tokens created for the selection of an appropriate agent is connected to the client, such as having skills or attributes matching one or more tokens. A callback application server transmits prompts and receives requests for client callbacks. an interaction manager determines agent availability and arranges callback handling, and a session management server initiates callbacks to connect the selected agent with the client.
1. A system comprising:
a processor having access to a non-transitory memory comprising machine-executable instructions for executable by the processor;
a network interface;
a data storage;
wherein the processor performs:
receiving a call via the network interface;
recording, from the call, a voice message to the data storage;
analyzing the voice message to determine a spoken language;
analyzing the voice message to determine a work item attribute;
selecting a record, from a pool of records maintained in the data storage, that comprises an agent language attribute matching the spoken language and the work item attribute;
accessing, from the selected record, an agent communication device identifier; and
automatically placing a callback to connect an agent communication device, associated with the agent communication device identifier, with a caller communication device.
2. The system of claim 1 , wherein the processor performs the analyzing of the voice message for spoken language, further comprising creation of a token comprising a plurality of fields wherein a first field comprises a value determined in accordance with the spoken language and a second field comprises a value determined in accordance with the work item attribute.
3. The system of claim 2 , wherein the processor selecting the record, from the pool of records maintained in the data storage, further comprises selecting the record that comprises the agent language attribute matching the first field.
4. The system of claim 2 , wherein the processor further performs the analyzing of the voice message for spoken language to obtain an identifier of the caller communication device and wherein the creation of the token comprises a third field comprising the identifier of the caller communication device.
5. The system of claim 1 , wherein the processor further performs:
the analyzing of the voice message for spoken language to obtain a time to place the callback; and
the automatically placing the callback occurs substantially at the time.
6. The system of claim 5 , wherein the processor further performs:
the analyzing of the voice message for spoken language to obtain the time to place the callback, further comprises creation of a callback token; and
automatically placing the callback occurs substantially upon the time of the callback token.
7. The system of claim 5 , wherein the processor further performs:
analysis of the voice message to obtain the time to place the callback, further comprises creation of a callback token; and
upon occurrence of the time to place the callback, passing the callback token to a queue manager, wherein the queue manager initiates the callback at the time of the callback token.
8. The system of claim 1 , wherein the processor further performs:
selecting the record further comprises selecting the record from the pool of records maintained in the data storage, that comprises an agent skill attribute matching the work item attribute.
9. The system of claim 8 , wherein the work item attribute comprises one or more of an issue identifier, a product identifier, a service identifier, a skill to resolve a work item, or an authorization attribute required to perform a task to resolve the work item.
10. The system of claim 8 , wherein the work item attribute comprises a token associated with the work item attribute and wherein the processor performs the selecting of the record comprising selecting the record from the pool of records maintained in the data storage, that comprises an agent skill attribute matching the token associated with the work item attribute.
11. A method comprising:
receiving a call via a network interface;
recording, from the call, a voice message to a data storage;
analyzing the voice message to determine a spoken language;
analyzing the voice message to determine a work item attribute;
selecting a record, from a pool of records maintained in the data storage, that comprises an agent language attribute matching the spoken language and the work item attribute;
accessing, from the selected record, an agent communication device identifier; and
automatically placing a callback to connect an agent communication device, associated with the agent communication device identifier, with a caller communication device.
12. The method of claim 11 , wherein analyzing of the voice message for spoken language, further comprising creation of a token comprising a plurality of fields wherein a first field comprises a value determined in accordance with the spoken language and a second field comprises a value determined in accordance with the work item attribute.
13. The method of claim 12 , wherein the selecting the record, from the pool of records maintained in the data storage, further comprises selecting the record that comprises the agent language attribute matching the first field.
14. The method of claim 12 , wherein the analyzing of the voice message for spoken language further obtains an identifier of the caller communication device and wherein the creation of the token comprises a third field comprising the identifier of the caller communication device.
15. The method of claim 11 , further comprising:
analyzing the voice message for spoken language to obtain a time to place the callback; and
the automatically placing of the callback occurs substantially at the time.
16. The method of claim 15 , wherein:
the analyzing of the voice message for spoken language to obtain the time to place the callback, further comprises creating a callback token; and
wherein automatically placing the callback occurs substantially upon the time of the callback token.
17. The method of claim 11 ,
wherein the selecting the record further comprises selecting the record from the pool of records maintained in the data storage, that comprises an agent skill attribute matching the work item attribute.
18. The method of claim 17 , wherein the work item attribute comprises one or more of an issue identifier, a product identifier, a service identifier, a skill to resolve a work item, or an authorization attribute required to perform a task to resolve the work item.
19. The method of claim 18 , wherein:
the analyzing of the voice message to obtain the work item attribute further comprises creating a token associated with the work item attribute; and
the selecting of the record comprising selecting the record from the pool of records maintained in the data storage, further comprises selecting an agent skill attribute matching the token associated with the work item attribute.
20. A system, comprising:
means to receive a call via a network interface;
means to record, from the call, a voice message to a data storage;
means to analyze the voice message to determine a spoken language;
means to analyze the voice message to determine a work item attribute;
means to select a record, from a pool of records maintained in the data storage, that comprises an agent language attribute matching the spoken language and the work item attribute;
means to access, from the selected record, an agent communication device identifier; and
means to automatically place a callback to connect an agent communication device, associated with the agent communication device identifier, with a caller communication device.