System and method for providing contextual summaries in interaction transfer
A system and method are presented for providing a contextual summary of an interaction between a first party and a second party over a media channel in an interaction transfer to a third party. A request is received to transfer an interaction to the third party, the request being triggered from the interaction. A text transcript of the interaction is obtained. The text transcript is processed to obtain the contextual summary and metadata, which is provided to the third party for handling the interaction with the interaction transfer. The contextual summary is provided by a contextual summarizer, which comprises a custom plurality of application programming interfaces (APIs). The plurality of APIs comprises at least one of: a text summarizer API, a churn predictor API, a sentiment analysis API, a next best action API, and an interaction reference detector API.
1. A computer-implemented method for providing a contextual summary of an interaction between a first party and a second party over a media channel in an interaction transfer to a third party, the method comprising:
receiving a request to transfer an interaction to the third party, the request being triggered from the interaction;
obtaining a text transcript of the interaction;
processing the transcript to obtain the contextual summary and interaction metadata, wherein the interaction metadata comprise one or more of: party identifier, medium of interaction, length of interaction, interaction start time, interaction end time, department, tagged categories; and
providing the contextual summary and metadata to the third party for handling the interaction with the interaction transfer.
2. The method of claim 1 , wherein the media channel comprises a voice channel.
3. The method of claim 2 , wherein the first party is a contact center customer, the second party is a contact center agent, and the third party is a contact center agent.
4. The method of claim 3 , wherein the obtaining a text transcript of the interaction comprises performing automatic speech recognition on the voice interaction.
5. The method of claim 4 , wherein the first party is a contact center customer, the second party is a chatbot, and the third party is a contact center agent.
6. The method of claim 1 , wherein the media channel comprises a chat channel.
7. The method of claim 1 , wherein the contextual summary comprises at least one of: a summary of the conversation, sentiment indicators, churn prediction indicators, interaction reference indicators, suggested actions, and queue priority rank.
8. The method of claim 7 , wherein the contextual summary and metadata further comprises a list of suggested actions for the third party.
9. The method of claim 1 further comprising the steps of:
after the interaction ends, automatically updating interaction notes for the third party
wherein the notes comprise:
the contextual summary and metadata provided to the third party, and
a contextual summary of the handling of the interaction by the third party.
10. A system for providing a contextual summary of an interaction between a first party and a second party over a media channel in an interaction transfer to a third party, the system comprising:
a processor; and
a memory in communication with the processor, the memory storing instructions that, when executed by the processor, causes the processor to provide the contextual summary by:
receiving a request to transfer an interaction to the third party, the request being triggered from the interaction;
obtaining a text transcript of the interaction;
processing the transcript to obtain the contextual summary and interaction metadata, wherein the interaction metadata comprise one or more of: party identifier, medium of interaction, length of interaction, interaction start time, interaction end time, department, tagged categories; and
providing the contextual summary and metadata to the third party for handling the interaction with the interaction transfer.
11. The system of claim 10 , wherein the media channel comprises a voice channel.
12. The system of claim 11 , wherein the first party is a contact center customer, the second party is a contact center agent, and the third party is a contact center agent.
13. The system of claim 12 , wherein the obtaining a text transcript of the interaction comprises performing automatic speech recognition on the voice interaction.
14. The system of claim 10 , wherein the media channel comprises a chat channel.
15. The system of claim 14 , wherein the first party is a contact center customer, the second party is a chatbot, and the third party is a contact center agent.
16. The system of claim 10 , wherein the contextual summary comprises at least one of: a summary of the conversation, sentiment indicators, churn prediction indicators, interaction reference indicators, suggested actions, and queue priority rank.
17. The system of claim 16 , wherein the contextual summary and metadata further comprises a list of suggested actions for the third party.
18. The system of claim 10 , wherein the memory storing instructions that, when executed by the processor, causes the processor to further provide the contextual summary by:
after the interaction ends, automatically updating interaction notes for the third party
wherein the notes comprise:
the contextual summary and metadata provided to the third party, and
a contextual summary of the handling of the interaction by the third party.
19. The system of claim 10 , wherein the contextual summary is provided by a contextual summarizer, which comprises a custom plurality of application programming interfaces (APIs).
20. The system of claim 19 , wherein the plurality of APIs comprises at least one of: a text summarizer API, a churn predictor API, a sentiment analysis API, a next best action API, and an interaction reference detector API.