System and method for creating bots for automating first party touchpoints
View Patent ↗A system and method are presented for creating bots for automating first party touchpoints with contact centers. Software bots created using Robotic Process Automation (RPA) are integrated with a contact center's different customer touch points (e.g. chatbots, emails and SMS, websites, IVR application, mobile applications, agent workstation). Artificial intelligence behind the touch points finds the intent of an interaction and the respective RPAs to be triggered using a fulfillment engine that finds and executes the appropriate fulfillment for each interaction intent. A REST API Request is sent to an RPA execution server, which runs the selected RPA and sends the result to the respective touch point that triggered it.
1. A method for selecting a software bot from a repository comprising a plurality of software bots to
execute automatic processes in a contact center environment, the method comprising the steps of:
receiving an inbound interaction from a first party at a contact center touchpoint;
analyzing, by an intent recognition module, the first party interaction to determine intent;
communicating the determined intent to a fulfillment engine associated with the touchpoint;
selecting a software bot through comparing intent with metadata stored in a library;
gathering, by the fulfillment engine, required arguments from the first party;
preparing an API request as a result of the gathered arguments and sending to an execution server
through a Rest API with the arguments; and
selecting, by the execution server, the selected software bot from a repository and executing the
software bot, with the results being returned to the touchpoint.
2. The method of claim 1 , wherein the touchpoints comprise one of: conversational chatbot, email, SMS, website, IVR application, mobile application, or agent workstation.
3. The method of claim 1 , wherein the repository comprises a database for storing the plurality of software bots, execution files, and metadata.
4. The method of claim 1 , wherein the library comprises a listing of metadata and corresponding Rest API requests.
5. The method of claim 1 , further comprising the step of delivering the results to the first party through a channel instructed by the first party.
6. The method of claim 5 , wherein the channel is an other channel than the inbound interaction was initiated from.
7. A system for selecting a software bot from a repository comprising a plurality of software bots to
execute automatic processes in a contact center environment 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 execute the software bot by:
receiving an inbound interaction from a first party at a contact center touchpoint;
analyzing, by an intent recognition module, the first party interaction to determine intent;
communicating the determined intent to a fulfillment engine associated with the touchpoint;
selecting a software bot through comparing intent with metadata stored in a library;
gathering, by the fulfillment engine, required arguments from the first party;
preparing an API request as a result of the gathered arguments and sending to an execution server through a Rest API with the arguments; and
selecting, by the execution server, the selected software bot from a repository and executing the software bot, with the results being returned to the touchpoint.
8. The system of claim 7 , wherein the touchpoints comprise one of: conversational chatbot, email, SMS, website, IVR application, mobile application, or agent workstation.
9. The system of claim 7 , wherein the repository comprises a database for storing the plurality of software bots, execution files, and metadata.
10. The system of claim 7 , wherein the library comprises a listing of metadata and corresponding Rest API requests.
11. The system of claim 7 , wherein the instructions further comprise delivering the results to the first party through a channel instructed by the first party.
12. The system of claim 11 , wherein the channel is an other channel than the inbound interaction was initiated from.
13. A system for selecting a software bot from a repository comprising a plurality of software bots to
execute automatic processes in a contact center environment comprising:
a contact center touchpoint for receiving an inbound interaction from a first party;
an intent recognition module operably connected to the touchpoint for determining intent of the interaction;
a fulfillment engine operably coupled to the intent recognition module for receiving the determined intent, and for gather requirement arguments from the first party;
a library operably coupled to the fulfillment engine for providing metadata to the fulfillment engine;
an execution server operatively coupled to the fulfillment engine, wherein the execution server, in response to a request from the fulfillment engine, selects the software bot from the plurality of software bots stored; and
a repository operative coupled to the execution server, wherein the repository stores the plurality of software bots.
14. The system of claim 13 , wherein the fulfillment engine is capable of preparing an API request as a result of the gathered arguments and sending to the execution server through a Rest API with the arguments.
15. The system of claim 13 , wherein the touchpoints comprise one of: conversational chatbot, email, SMS, website, IVR application, mobile application, or agent workstation.
16. The system of claim 13 , wherein the repository comprises a database for storing the plurality of software bots, execution files, and metadata.
17. The system of claim 13 , wherein the library comprises a listing of metadata and corresponding Rest API requests.