US-20260127353-A1 - SYSTEM AND METHOD FOR RAPID END-TO-END DIGITAL COMMUNICATION BETWEEN USERS

US20260127353A1US 20260127353 A1US20260127353 A1US 20260127353A1US-20260127353-A1

Abstract

A system and method for rapid end-to-end digital communication between users is provided. An input is received by first user for invoking Graphical User Interface (GUI) on input device for rendering digital communication application subsequent to receiving data related to second user requirements associated with a service. Second user data provided over audio and video communication carried out between first user and second user using audio and video features associated with digital communication application is captured. Product and service specific data associated with second user is extracted based on captured second user data from external data source. Different types of recommendations are provided to first user with respect to product and service specific data associated with second user by implementing different types of conversational AI bots. Parameters associated with product and service specific data are selected. Actionable outcome of digital communication is generated for transmission to input device.

Inventors

S T SAILAJA
Santanu GOSWAMI
Shrinidhi ARUNAGIRIRAJ

Assignees

COGNIZANT TECHNOLOGY SOLUTIONS INDIA PVT. LTD.

Dates

Publication Date: 20260507
Application Date: 20250107
Priority Date: 20241107

Claims (19)

1 . A system for rapid end-to-end digital communication between users, the system comprises: a memory storing program instructions; a processor executing program instructions stored in the memory; and a digital communication engine executed by the processor and configured to: receive an input by a first user for invoking a Graphical User Interface (GUI) on an input device for rendering a digital communication application subsequent to receiving data related to one or more second user requirements associated with a service; capture a second user data provided over audio and video communication carried out between the first user and the second using audio and video features associated with the digital communication application, wherein the second user data is captured in one or more digital formats; extract product and service specific data associated with the second user based on the captured second user data from an external data source; provide one or more types of recommendations to the first user with respect to the product and service specific data associated with the second user by implementing one or more types of conversational AI bots; select one or more parameters associated with the product and service specific data; and generate an actionable outcome of the digital communication for transmission to the input device.
2 . The system as claimed in claim 1 , wherein the digital communication engine comprises an integration unit executed by the processor and configured to integrate with a relationship management tool for receiving the data related to second user requirements associated with the service corresponding to a particular domain.
3 . The system as claimed in claim 1 , wherein the digital communication application is developed in a no-code or low-code manner by using a no-code or low code development platform-as-a-service and provides audio and video features for communication.
4 . The system as claimed in claim 1 , wherein the system comprises a Large Language Model (LLM) unit configured to generate a personalised communication invite for the second user based on queries constructed from the data related to the second user requirements which are provided to LLM models in the LLM unit as input prior to the invocation of the GUI.
5 . The system as claimed in claim 1 , wherein a pre-determined Domain Name System (DNS) service is implemented by a GUI rendering unit to route the first user input to a content delivery service platform for rendering the digital communication application on an input device.
6 . The system as claimed in claim 1 , wherein the system comprises a Large Language Model (LLM) unit configured to generates a dialogue script by using previously generated risk profile of the second user, and wherein the dialogue script is used by the first user for providing product and services recommendations and chat inputs to the second user.
7 . The system as claimed in claim 6 , wherein the LLM unit transcribes the audio and video communication between the first user and the second user which is used to determine sentiments of the second user, and wherein the sentiments of the second user are determined by the LLM unit based on one or more phrases provided by the second user during the audio and video communication.
8 . The system as claimed in claim 1 , wherein the digital communication engine comprises a data capturing unit executed by the processor and configured to automatically capture the second user data from a GUI rendering unit in text format.
9 . The system as claimed in claim 8 , wherein the data capturing unit records the audio and video communication between the first user and the second user, and wherein the data capturing unit implements an Automated Speech Recognition (ASR) technique for converting the captured audio and video communication into a text format.
10 . The system as claimed in claim 9 , wherein the digital communication engine comprises an integration unit 116 executed by the processor and configured to integrate with the one or more external data sources for extracting product and service specific data.
11 . The system as claimed in claim 1 , wherein the digital communication engine comprises a recommendation unit executed by the processor and configured to provide real-time recommendations to the first user with respect to the product and service specific data associated with the second user, and wherein a first type of recommendation provided by a first conversational AI bot includes generating and recommending a risk profile of the second user; a second type of recommendation provided by a second conversational AI bot includes providing recommendation based on the queries provided by the first user; and a third type of recommendation provided by a third conversational AI bot includes providing answers to queries related to the organization's brochures and product recommendation with respect to the product and service associated with the second user.
12 . The system as claimed in claim 1 , wherein the digital communication engine comprises a finalization unit executed by the processor and configured to provide a finalization option to the second user for selecting the one or more parameters with respect to the product and service specific data, and wherein the finalization unit authenticates identity of the second user for preventing fraudulent activity.
13 . A method for rapid end-to-end digital communication between users, the method is implemented by a processor executing instructions stored in a memory, the method comprises: receiving an input by a first user for invoking a Graphical User Interface (GUI) on an input device for rendering a digital communication application subsequent to receiving data related to one or more second user requirements associated with a service; capturing a second user data provided over audio and video communication carried out between the first user and the second user using audio and video features associated with the digital communication application, wherein the second user data is captured in one or more digital formats; extracting product and service specific data associated with the second user based on the captured second user data from an external data source; providing one or more types of recommendations to the first user with respect to the product and service specific data associated with the second user by implementing one or more types of conversational AI bots; selecting one or more parameters associated with the product and service specific data; and generating an actionable outcome of the digital communication for transmission to the input device.
14 . The method as claimed in claim 13 , wherein a personalised communication invite is generated for the second user based on queries constructed from the data related to the second user requirements which are provided to LLM models in the LLM unit as input prior to the invocation of the GUI.
15 . The method as claimed in claim 13 , wherein a dialogue script is generated by using previously generated risk profile of the second user, and wherein the dialogue script is used by the first user for providing product and services recommendations and chat inputs to the second user.
16 . The method as claimed in claim 15 , wherein the audio and video communication are transcribed between the first user and the second user which is used to determine sentiments of the second user, and wherein the sentiments of the second user are determined based on one or more phrases provided by the second user during the audio and video communication.
17 . The method as claimed in claim 13 , wherein real-time recommendations are provided to the first user with respect to the product and service specific data associated with the second user, and wherein a first type of recommendation provided by a first conversational AI bot includes generating and recommending a risk profile of the second user; a second type of recommendation provided by a second conversational AI bot includes providing recommendation based on the queries provided by the first user; and a third type of recommendation provided by a third conversational AI bot includes providing answers to queries related to the organization's brochures and product recommendation with respect to the product and service associated with the second user.
18 . The method as claimed in claim 13 , wherein a finalization option is provided to the second user for selecting the one or more parameters with respect to the product and service specific data, and wherein identity of the second user is authenticated for preventing fraudulent activity.
19 . A computer program product comprising: a non-transitory computer-readable medium having computer program code stored thereon, the computer-readable program code comprising instructions that, when executed by a processor, causes the processor to: receive an input by a first user for invoking a Graphical User Interface (GUI) on an input device for rendering a digital communication application subsequent to receiving data related to one or more second user requirements associated with a service; capture a second user data provided over audio and video communication carried out between the first user and the second user using audio and video features associated with the digital communication application, wherein the second user data is captured in one or more digital formats; extract product and service specific data associated with the second user based on the captured second user data from an external data source; provide one or more types of recommendations to the first user with respect to the product and service specific data associated with the second user by implementing one or more types of conversational AI bots; select one or more parameters associated with the product and service specific data; and generate an actionable outcome of the digital communication for transmission to the input device.

Description

This application claims the benefit of Indian Patent Application No. 202441085591, filed Nov. 7, 2024, which is incorporated by reference in its entirety. FIELD The present invention relates generally to the field of digital communications. More particularly, the present invention relates to rapid end-to-end digital communication between users. BACKGROUND Nowadays, digital communication between people (users) has become quite prevalent. Various organizations around the world have leveraged the benefits of digital communications platforms by implementing multiple tools and techniques for adopting virtual communication options to achieve efficiency and save time. For example, in insurance sector, insurance agents may offer an insurance policy to a consumer using a digital communication interface over a video call or conference/phone call. However, existing digital interface options do not provide a personalized experience during interactions between the users and have complicated interface which provides bulky video calls or conference/phone calls. Further, existing digital communication platforms utilize legacy technologies and cumbersome techniques to provide digital interactions between users, which are inefficient to operate. Existing digital communication platforms may use complex server configurations and codes which are difficult to develop and maintain. Further, the existing digital communication platforms are inefficient and less engaging, which decreases productivity and increases operational costs. Also, existing digital communication platforms do not provide an interactive display for data rendering and visualization (e.g., graphs, charts, etc.). Further, the existing digital communication platforms do not effectively integrate with next generation tools, thereby providing decreased automation capabilities. Furthermore, existing digital communication platforms do not process data efficiently in real-time, are not able to determine relevance of data appropriately, and do not populate the electronic data transparently. Yet further, typically existing digital communication platforms provide data capture by way of electronic form filing, which is a tedious and a time-consuming process. In light of the aforementioned drawbacks, there is a need for a system and a method which provides for improving end-to-end digital communication between users. There is a need for a system and a method which provides for rapid end-to-end digital communication between users. There is a need for a system and a method which provides a digital communication platform that processes data efficiently in real-time, is able to determine relevance of data appropriately, and populate the electronic data transparently. Further, there is a need for a system and a method which provides a digital communication platform that increases work productivity and reduces operational costs. SUMMARY In view of various embodiments of the present invention, a system for rapid end-to-end digital communication between users is provided. The system comprises a memory storing program instructions, a processor executing program instructions stored in the memory and a digital communication engine executed by the processor. The digital communication engine is configured to receive an input by a first user for invoking a Graphical User Interface (GUI) on an input device for rendering a digital communication application subsequent to receiving data related to one or more second user requirements associated with a service. The digital communication engine is configured to capture a second user data provided over audio and video communication carried out between the first user and the second using audio and video features associated with the digital communication application. The second user data is captured in one or more digital formats. The digital communication engine is configured to extract product and service specific data associated with the second user based on the captured second user data from an external data source. Further, the digital communication engine is configured to provide one or more types of recommendations to the first user with respect to the product and service specific data associated with the second user by implementing one or more types of conversational AI bots. Further, the digital communication engine is configured to select one or more parameters associated with the product and service specific. Lastly, the digital communication engine is configured to generate an actionable outcome of the digital communication for transmission to the input device. In various embodiments of the present invention, a method for rapid end-to-end digital communication between users is provided. The method is implemented by a processor executing instructions stored in a memory. The method comprises receiving an input by a first user for invoking a Graphical User Interface (GUI) on an input device (110) for rendering a digital communication appl