WO2023275602A1

WO2023275602A1 - A digital assistant system for rendering a service and a method to operate the same

Info

Publication number: WO2023275602A1
Application number: PCT/IB2021/058183
Authority: WO
Inventors: Ananda Padmanaban SRINIVAS
Original assignee: Srinivas Ananda Padmanaban
Priority date: 2021-06-29
Filing date: 2021-09-09
Publication date: 2023-01-05

Abstract

A digital assistant system (100) is disclosed. A service request receiving module (110) receives a plurality of service requests from a client, elicits requirement information associated with the plurality of service requests from the client. A service request analysis module (120) determines a goal for accomplishment of each of the plurality of service requests by establishing a connection with a central research hub, formulates one or more optimal strategies for achieving the goal determined corresponding to each of the plurality of service requests by utilizing a research output obtained from the central research hub. A strategy recommendation module (130) recommends the one or more optimal strategies formulated to the client, receives an opinion corresponding to the one or more optimal strategies, provides one or more alternative strategies to the client for finalization of a strategy. A strategy execution module (140) executes the strategy finalized corresponding to each of the plurality of service requests for rendering the service.

Description

A DIGITAL ASSISTANT SYSTEM FOR RENDERING A SERVICE AND A METHOD TO OPERATE THE SAME

EARLIEST PRIORITY DATE:

This Application claims priority from a patent application filed in India having Patent Application No. 202141029205, filed on June 29, 2021 and titled “A DIGITAL ASSISTANT SYSTEM FOR RENDERING A SERVICE AND A METHOD TO OPERATE THE SAME.”

BACKGROUND

Embodiments of the present disclosure relate to automated systems for performing a task and more particularly, to a digital assistant system for rendering a service and a method to operate the same.

In the modem world many routine tasks have become too complex for individuals. They are complex in the sense they require acquisition of substantial knowledge, application of mind, the investment of significant time and effort to manage them properly. Few examples of such complex tasks include financial planning, household item purchases, tax planning and the like. In order to handle all such situations, the individuals need the assistance of domain experts who understand the subject matter well and can afford the time to learn about the individual’s personal goals, conduct research to recommend optimum decisions and take actions on these decisions. However, one single assistant cannot service more than a handful of clients in a satisfactory manner. People having the right level of skills are hard to find and hence it is difficult to scale the operation by hiring more assistants. Hence, partially skilled assistants who are often pressed into service make sub-optimal and bad decisions impacting both the service provider and the client. Skilled assistants are high-priced and only the very wealthy can afford them. Therefore, it is desirable to employ intelligent automated assistants to perform these services for clients who need them in a scalable and affordable manner.

Conventionally, the automated assistants which are available includes one or more platform- specific virtual assistants as they come with specific technology platforms. Such automated assistants enable the users to interact with devices or systems using natural language in audio and/or text forms. However, such conventional automated assistants perform a limited set of simple specialized tasks within a domain such as help in finding information or providing suggestions or connect with a pre-existing automated service. Also, such conventional assistants are mainly deployed at service provider’s end to serve the seller’s needs. Hence there are no automated assistants available, that are intelligent enough to perform complex tasks similar to that of human experts who perform these jobs now.

Hence, there is a need for an improved digital assistant system for rendering a service and a method to operate the same in order to address the aforementioned issues.

BRIEF DESCRIPTION

In accordance with an embodiment of the present disclosure, a digital assistant system for rendering a service is disclosed. The system includes a processing subsystem hosted on a server. The processing subsystem is configured to execute on a network to control bidirectional communications among a plurality of modules. The processing subsystem includes a service request receiving module configured to receive a plurality of service requests from a client via a user interface. The service request receiving module is also configured to elicit requirement information associated with the plurality of service requests from the client. The processing subsystem also includes a service request. The service request analysis module is configured to determine a goal for accomplishment of each of the plurality of service requests by establishing a connection with a central research hub based on the requirement information elicited. The service request analysis module is also configured to formulate one or more optimal strategies for achieving the goal determined corresponding to each of the plurality of service requests by utilizing a research output obtained from the central research hub, wherein the research output is generated based on a real-time market trend. The processing subsystem also includes a strategy recommendation module operatively coupled to the service request analysis module. The strategy recommendation module is configured to recommend the one or more optimal strategies formulated to the client for achieving the goal corresponding to each of the plurality of service requests. The strategy recommendation module is also configured to receive an opinion corresponding to the one or more optimal strategies recommended to the client via a client interaction facilitated by the user interface. The strategy recommendation module is also configured to provide one or more alternative strategies to the client for finalization of a strategy based on a plurality of strategy finalization parameters when the opinion corresponding to the one or more optimal strategies received is unsatisfactory. The processing subsystem also includes a strategy execution module operatively coupled to the strategy finalization module. The strategy execution module is configured to execute the strategy finalized corresponding to each of the plurality of service requests for rendering the service upon receiving a consent from the client. The strategy execution module is also configured to monitor one or more consequences of the strategy executed, reporting progress periodically to the client and making necessary corrections in response to deviation, or external events that may affect the one or more consequences.

In accordance with another embodiment of the present disclosure, a method to operate the digital assistant system for rendering a service is disclosed. The method includes receiving, by a service request receiving module of a processing subsystem, a plurality of service requests from a client via a user interface. The method also includes eliciting, by the service request receiving module of the processing subsystem, requirement information associated with the plurality of service requests from the client. The method also includes determining, by a service request analysis module of the processing subsystem, a goal for accomplishment of each of the plurality of service requests by establishing a connection with a central research hub based on the requirement information elicited. The method also includes formulating, by the service request analysis module of the processing subsystem, one or more optimal strategies for achieving the goal determined corresponding to each of the plurality of service requests by utilizing a research output obtained from the central research hub, wherein the research output is generated based on a real-time market trend. The method also includes recommending, by a strategy recommendation module of the processing subsystem, the one or more optimal strategies formulated to the client for achieving the goal corresponding to each of the plurality of service requests. The method also includes receiving, by the strategy recommendation module of the processing subsystem, an opinion corresponding to the one or more optimal strategies recommended to the client via a client interaction facilitated by the user interface. The method also includes providing, by the strategy recommendation module of the processing subsystem, one or more alternative strategies to the client for finalization of a strategy based on a plurality of strategy finalization parameters when the opinion corresponding to the one or more optimal strategies received is unsatisfactory. The method also includes executing, by a strategy execution module of the processing subsystem, the strategy finalized corresponding to each of the plurality of service requests for rendering the service upon receiving a consent from the client. The method also includes monitoring, by the strategy execution module, one or more consequences of the strategy executed, reporting progress periodically to the client and making necessary corrections in response to deviation, or external events that may affect the one or more consequences.

To further clarify the advantages and features of the present disclosure, a more particular description of the disclosure will follow by reference to specific embodiments thereof, which are illustrated in the appended figures. It is to be appreciated that these figures depict only typical embodiments of the disclosure and are therefore not to be considered limiting in scope. The disclosure will be described and explained with additional specificity and detail with the appended figures.

BRIEF DESCRIPTION OF THE DRAWINGS

The disclosure will be described and explained with additional specificity and detail with the accompanying figures in which: FIG. 1 is a block diagram of a digital assistant system for rendering a service in accordance with an embodiment of the present disclosure;

FIG. 2 is a schematic representation of an exemplary embodiment of a digital assistant system for rendering a service of FIG.l in accordance with an embodiment of the present disclosure; FIG. 3 is a block diagram of a computer or a server in accordance with an embodiment of the present disclosure; and

FIG. 4 (a) and FIG. 4 (b) is a flow chart representing the steps involved in a method for operating a digital assistant system for rendering a service in accordance with an embodiment of the present disclosure. Further, those skilled in the art will appreciate that elements in the figures are illustrated for simplicity and may not have necessarily been drawn to scale. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the figures by conventional symbols, and the figures may show only those specific details that are pertinent to understanding the embodiments of the present disclosure so as not to obscure the figures with details that will be readily apparent to those skilled in the art having the benefit of the description herein.

DETAILED DESCRIPTION

For the purpose of promoting an understanding of the principles of the disclosure, reference will now be made to the embodiment illustrated in the figures and specific language will be used to describe them. It will nevertheless be understood that no limitation of the scope of the disclosure is thereby intended. Such alterations and further modifications in the illustrated system, and such further applications of the principles of the disclosure as would normally occur to those skilled in the art are to be construed as being within the scope of the present disclosure.

The terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such a process or method. Similarly, one or more devices or sub-systems or elements or structures or components preceded by "comprises... a" does not, without more constraints, preclude the existence of other devices, sub-systems, elements, structures, components, additional devices, additional sub-systems, additional elements, additional structures or additional components. Appearances of the phrase "in an embodiment", "in another embodiment" and similar language throughout this specification may, but not necessarily do, all refer to the same embodiment.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this disclosure belongs. The system, methods, and examples provided herein are only illustrative and not intended to be limiting. In the following specification and the claims, reference will be made to a number of terms, which shall be defined to have the following meanings. The singular forms “a”, “an”, and “the” include plural references unless the context clearly dictates otherwise.

Embodiments of the present disclosure relate to a system and a method for digital assistant system for rendering a service. The system includes a processing subsystem hosted on a server. The processing subsystem is configured to execute on a network to control bidirectional communications among a plurality of modules. The processing subsystem includes a service request receiving module configured to receive a plurality of service requests from a client via a user interface. The service request receiving module is also configured to elicit requirement information associated with the plurality of service requests from the client. The processing subsystem also includes a service request analysis module operatively coupled to the service request receiving module. The service request analysis module is configured to determine a goal for accomplishment of each of the plurality of service requests by establishing a connection with a central research hub based on the requirement information elicited. The service request analysis module is also configured to formulate one or more optimal strategies for achieving the goal determined corresponding to each of the plurality of service requests by utilizing a research output obtained from the central research hub, wherein the research output is generated based on a real-time market trend. The processing subsystem also includes a strategy recommendation module operatively coupled to the service request analysis module. The strategy recommendation module is configured to recommend the one or more optimal strategies formulated to the client for achieving the goal corresponding to each of the plurality of service requests. The strategy recommendation module is also configured to receive an opinion corresponding to the one or more optimal strategies recommended to the client via a client interaction facilitated by the user interface. The strategy recommendation module is also configured to provide one or more alternative strategies to the client for finalization of a strategy based on a plurality of strategy finalization parameters when the opinion corresponding to the one or more optimal strategies received is unsatisfactory. The processing subsystem also includes a strategy execution module operatively coupled to the strategy finalization module. The strategy execution module is configured to execute the strategy finalized corresponding to each of the plurality of service requests for rendering the service upon receiving a consent from the client. The strategy execution module is also configured to monitor one or more consequences of the strategy executed, reporting progress periodically to the client and making necessary corrections in response to deviation, or external events that may affect the one or more consequences.

FIG. 1 is a block diagram of a digital assistant system (100) for rendering a service in accordance with an embodiment of the present disclosure. The system (100) includes a processing subsystem (105) hosted on a server (108). In one embodiment, the server (108) may include a cloud server. In another embodiment, the server (108) may include a local server. The processing subsystem (105) is configured to execute on a network (not shown in FIG. 1) to control bidirectional communications among a plurality of modules. In one embodiment, the network may include a wired network such as local area network (LAN). In another embodiment, the network may include a wireless network such as Wi-Fi, Bluetooth, Zigbee, near field communication (NFC), infra-red communication (RFID) or the like.

The processing subsystem (105) includes a service request receiving module (110) configured to receive a plurality of service requests from a client via a user interface. In one embodiment, the plurality of service requests may include at least one of a financial investment request, an insurance planning request, a tax planning request, a household purchase request, a food ordering request, a ticket reserving request, a teaching request, a medical assistance request or a combination thereof. In such embodiment, the plurality of service requests may be received from the user in at least one of a text format, an audio format, an image format and the like. In some embodiment, the user interface may include, but not limited to, a web interface, an interface of a mobile application, an interactive robotic assistant and the like.

The service request receiving module (110) is also configured to elicit requirement information associated with the plurality of service requests from the client. In one embodiment, the required information may include at least one of available funds for investment, short term liquidity requirements, long term financial requirements, expenditure amount, existing investments, preferred investment mode, tax liabilities, appetite for risk, statutory disclosure details, nominee details, price of a household item, a brand of a household item or a combination thereof. The processing subsystem (105) also includes a service request analysis module (120) operatively coupled to the service request receiving module (110). The service request analysis module (120) is configured to determine a goal for accomplishment of each of the plurality of service requests by establishing a connection with a central research hub based on the requirement information elicited.

The service request analysis module (120) is also configured to formulate one or more optimal strategies for achieving the goal determined corresponding to each of the plurality of service requests by utilizing a research output obtained from the central research hub (125), wherein the research output is generated based on a real-time market trend. In one embodiment, the one or more optimal strategies may include at least one of one or more client details, one or more instrument details, one or more risk-mitigation and risk-management measures associated with one or more instruments, prevailing and forecast market conditions associated with the one or more instruments, prevailing and forecast regulatory regimes associated with the one or more instruments, prevailing expert opinion associated with the one or more instruments, assessment of the central research hub (125) based on the prevailing expert opinion, historical performance track record of the one or more instruments or a combination thereof.

As used herein, the term ‘central research hub’ is defined as a semi-automated operation with humans in a loop at strategic positions to meet strategic and statutory requirements of human oversight and still scale the operations to serve multitudes of clients. In a specific embodiment, the central research hub (125) is configured to create and maintain a research repository corresponding to a domain of operation, handle the plurality of service requests received from the client by registration process, fetch relevant information corresponding to each of the plurality of service requests from one or more external sources, keep a track of each of the plurality of service requests received from the client, analyze a plurality of expert opinions corresponding to each of the plurality of service requests, create one or more workflow mechanisms to facilitate client support operation, generate a logic to monitor lifecycle and performance of one or more digital assistant systems for rendering one or more services or a combination thereof. The central research hub (125) utilizes a messaging system to communicate with digital assistants and one or more external applications. The central research hub (125) also scans public and paid external sources to obtain information relevant to the digital assistant operations and further performs analysis to create reports, recommendations and comparative studies. The central research hub (125) also receives live news from the external sources corresponding to the digital assistant operations for each of the plurality of service requests. The central research hub (125) also publishes news and analytics through a publish / subscribe mechanism under various topics which further enables the digital assistant system to subscribe to topics of their interest to get real-time updates.

The processing subsystem (105) also includes a strategy recommendation module (130) operatively coupled to the service request analysis module (120). The strategy recommendation module (130) is configured to recommend the one or more optimal strategies formulated to the client for achieving the goal corresponding to each of the plurality of service requests. In one embodiment, the one or more optimal strategies may include at least one of one or more client details, one or more instrument details, one or more risk-mitigation and risk- management measures associated with one or more instruments, prevailing and forecast market conditions associated with the one or more instruments, prevailing and forecast regulatory regimes associated with the one or more instruments, prevailing expert opinion associated with the one or more instruments, assessment of the central research hub based on the prevailing expert opinion, historical performance track record of the one or more instruments or a combination thereof. In such embodiment, the one or more instrument details may include at least one of primary purpose, other possible purposes, return on investment (ROI), maturity time, asset class, instrument- specific investment rules, market performance in qualitative and quantitative measures or a combination thereof.

The strategy recommendation module (130) is also configured to receive an opinion corresponding to the one or more optimal strategies recommended to the client via a client interaction facilitated by the user interface. In one embodiment, the opinion may include a satisfactory opinion. In another embodiment, the opinion may include an unsatisfactory opinion. The strategy recommendation module (130) is also configured to provide one or more alternative strategies to the client for finalization of a strategy based on a plurality of strategy finalization parameters when the opinion corresponding to the one or more optimal strategies received is unsatisfactory. In some embodiment, the plurality of strategy finalization parameters may include at least one of list of one or more alternative choices ranked for each goal, list of one or more alternative choices disapproved by the client, comparison of the one or more instruments based on one or more default parameters, a periodical projection of expected return on investment for the one or more instruments, one or more presumed risks for the one or more instruments, rationale for recommendation and rating of an investment choice or a combination thereof.

The processing subsystem (105) also includes a strategy execution module (140) operatively coupled to the strategy recommendation module (130). The strategy execution module (140) is configured to execute the strategy finalized corresponding to each of the plurality of service requests for rendering the service upon receiving a consent from the client. The strategy execution module (140) is also configured to monitor one or more consequences of the strategy executed, reporting progress periodically to the client and making necessary corrections in response to deviation, or external events that may affect the one or more consequences.

In a particular embodiment, the processing subsystem (105) also includes a service monitoring module (150) configured to monitor one or more outcomes associated with performance of the digital assistant system for each of the plurality of service requests for rendering the service based on one or more factors, wherein the one or more factors may include at least one of comparison of planned versus actual outcomes of one or more alternative strategies, comparison of performance metrics of one or more digital assistant systems, action on client’s opinion, employing simulation clients or a combination thereof. The service monitoring module (150) is also configured to receive a feedback associated with the performance of the digital assistant system for rendering the service from the client through one or more generated tickets. The service monitoring module (150) is also configured to enable the central research hub to enhance the performance of the digital assistant system from a predefined performance threshold level through one or more actions for resolving the one or more generated tickets.

FIG. 2 is a schematic representation of an exemplary embodiment of a digital assistant system (100) for rendering a service of FIG.l in accordance with an embodiment of the present disclosure. Considering an example, where the system (100) is utilized by a client (102) as a personal executive agent for obtaining assistance related to investment planning. Generally, such kind of tasks are pretty complicated, as a result, the system (100) is utilized to obtain assistance of domain experts who understands the subject matter well and can afford time to learn about the client’s personal goals, conduct research to recommend optimum decisions, take actions on these decisions with the client’s consent for planning the investment. The system (100) includes a processing subsystem (105) which is hosted on a cloud server (108) and executes on a wireless communication network (115) to control bidirectional communications among a plurality of modules. The system (100) for understanding the client’s service request, activates a service requesting module (110) to receive exact requirement interest such as the investment planning request via a user interface. In the example used herein, the user interface may include a web interface through which the service request is received in a text format.

Based on the service request received, the service request receiving module (110) also elicits requirement information associated with the investment planning request from the client. For example, the requirement information elicited in case of the investment request includes at least one of available funds for investment, short term liquidity requirements, committed, anticipated or desired expenditures by amount and approximate lead time for each, long term financial requirements by amount and time, wherein the long term financial requirement includes post requirement regular income amount, health or life cover through term insurances and the like, existing investments, if any to be managed, preferred investment mode, instruments, tax liabilities or saving opportunities, appetite for risk, statutory disclosure details, nominee details or a combination thereof.

Once, the requirement information is elicited, a service request analysis module (120) determines a goal for accomplishment of each of the plurality of service requests by establishing a connection with a central research hub (CRH) (125). Here, the central research hub (125) creates and maintains a research repository (128) corresponding to a domain of operation by collecting several information from one or more external sources, handle the plurality of service requests received from the client by registration process, fetch relevant information corresponding to each of the plurality of service requests from one or more external sources, keep a track of each of the plurality of service requests received from the client, analyze a plurality of expert opinions corresponding to each of the plurality of service requests, create one or more workflow mechanisms to facilitate client support operation, generate a logic to monitor lifecycle and performance of one or more digital assistant systems for rendering one or more services or a combination thereof. The central research hub also utilizes a messaging system to communicate with digital assistants and one or more external applications. The central research hub (125) also scans public and paid external sources to obtain information relevant to the digital assistant operations and further performs analysis to create reports, recommendations and comparative studies. The central research hub (125) also receives live news from the external sources corresponding to the digital assistant operations for each of the plurality of service requests. The central research hub (125) also publishes news and analytics through a publish / subscribe mechanism under various topics which further enables the digital assistant system to subscribe to topics of their interest to get real-time updates.

Again, the service request analysis module (120) formulates one or more optimal strategies for achieving the goal determined corresponding to each of the plurality of service requests by utilizing a research output obtained from the central research hub (125), wherein the research output is generated based on a real-time market trend. In the example used herein, the one or more optimal strategies may include at least one of one or more client details, one or more instrument details, one or more risks, mitigation and management measures associated with one or more instruments, prevailing and forecast market conditions associated with the one or more instruments, prevailing and forecast regulatory regimes associated with the one or more instruments, prevailing expert opinion associated with the one or more instruments, assessment of the central research hub (CRH) (125) based on the prevailing expert opinion, historical performance track record of the one or more instruments or a combination thereof.

Further, upon formulation of the one or more optimal strategies, a strategy recommendation module (130) of the processing subsystem (105) recommends such one or more optimal strategies to the client for achieving the goal corresponding to the service request. Also, the strategy recommendation module (130) receives an opinion corresponding to the one or more optimal strategies recommended to the client via a client interaction facilitated by the user interface. The strategy recommendation module (130) is also configured to provide one or more alternative strategies to the client for finalization of a strategy based on a plurality of strategy finalization parameters when the opinion corresponding to the one or more optimal strategies received is unsatisfactory. For example, the plurality of strategy finalization parameters may include at least one of list of one or more alternative choices ranked for each goal, list of one or more alternative choices disapproved by the client, comparison of the one or more instruments based on one or more default parameters, a periodical projection of expected return on investment for the one or more instruments, one or more presumed risks for the one or more instruments, rationale for recommendation and rating of an investment choice or a combination thereof.

Further, once the strategy is mutually agreed upon, a strategy execution module (140) is configured to execute the strategy finalized corresponding to the service request for rendering the service upon receiving a consent from the client. The strategy execution module (140) is also configured to monitor one or more consequences of the strategy executed, reporting progress periodically to the client and making necessary corrections in response to deviation, or external events that may affect the one or more consequences.

In addition, the system (100) also includes a service monitoring module (150) configured to monitor one or more outcomes associated with performance of the digital assistant system for the service request for rendering the service based on one or more factors, wherein the one or more factors may include at least one of comparison of planned versus actual outcomes of one or more alternative strategies, comparison of performance metrics of one or more digital assistant systems, action on client’s opinion, employing simulation clients or a combination thereof. Not only this, the service monitoring module (150) also receives a feedback associated with the performance of the digital assistant system for rendering the service from the client through one or more generated tickets. The service monitoring module (150) is also configured to enable the central research hub to enhance the performance of the digital assistant system from a predefined performance threshold level through one or more actions for resolving the one or more generated tickets. Hence, the system (100) uses its inbuilt intelligence in understanding client goals, formulating and executing strategy and applying the information from the CRH (125) appropriately to obtain positive outcomes for the client. The CRH, similarly, aggregates information, analyses it and offers appropriate recommendations to the client based on its analysis, thereby helps to learn and improve the quality of their actions continuously to achieve better outcomes.

FIG. 3 is a block diagram of a computer or a server in accordance with an embodiment of the present disclosure. The server (200) includes processor(s) (230), and memory (210) operatively coupled to the bus (220). The processor(s) (230), as used herein, means any type of computational circuit, such as, but not limited to, a microprocessor, a microcontroller, a complex instruction set computing microprocessor, a reduced instruction set computing microprocessor, a very long instruction word microprocessor, an explicitly parallel instruction computing microprocessor, a digital signal processor, or any other type of processing circuit, or a combination thereof.

The memory (210) includes several subsystems stored in the form of executable program which instructs the processor (230) to perform the method steps illustrated in FIG. 1. The memory (210) includes a processing subsystem (105) of FIG.l. The processing subsystem (105) further has following modules: a service request receiving module (110), a service request analysis module (120), a strategy recommendation module (130), a strategy execution module (140) and a service monitoring module (150).

The service request receiving module (110) is configured to receive a plurality of service requests from a client via a user interface. The service request receiving module (110) is also configured to elicit requirement information associated with the plurality of service requests from the client. The service request analysis module (120) is configured to determine a goal for accomplishment of each of the plurality of service requests by establishing a connection with a central research hub based on the requirement information elicited. The service request analysis module (120) is also configured to formulate one or more optimal strategies for achieving the goal determined corresponding to each of the plurality of service requests by utilizing a research output obtained from the central research hub, wherein the research output is generated based on a real-time market trend. The strategy recommendation module (130) is configured to recommend the one or more optimal strategies formulated to the client for achieving the goal corresponding to each of the plurality of service requests. The strategy recommendation module (130) is also configured to receive an opinion corresponding to the one or more optimal strategies recommended to the client via a client interaction facilitated by the user interface. The strategy recommendation module (130) is also configured to provide one or more alternative strategies to the client for finalization of a strategy based on a plurality of strategy finalization parameters when the opinion corresponding to the one or more optimal strategies received is unsatisfactory. The strategy execution module (140) is configured to execute the strategy finalized corresponding to each of the plurality of service requests for rendering the service upon receiving a consent from the client. The strategy execution module (140) is also configured to monitor one or more consequences of the strategy executed, reporting progress periodically to the client and making necessary corrections in response to deviation, or external events that may affect the one or more consequences.

The service monitoring module (150) is configured to monitor one or more outcomes associated with performance of the digital assistant system for each of the plurality of service requests for rendering the service based on one or more factors, wherein the one or more factors comprises at least one of comparison of planned versus actual outcomes of one or more alternative strategies, comparison of performance metrics of one or more digital assistant systems, action on client’s opinion, employing simulation clients or a combination thereof.

The bus (220) as used herein refers to be internal memory channels or computer network that is used to connect computer components and transfer data between them. The bus (220) includes a serial bus or a parallel bus, wherein the serial bus transmits data in bit-serial format and the parallel bus transmits data across multiple wires. The bus (220) as used herein, may include but not limited to, a system bus, an internal bus, an external bus, an expansion bus, a frontside bus, a backside bus and the like.

FIG. 4 (a) and FIG. 4 (b) is a flow chart representing the steps involved in a method (300) for operating a digital assistant system for rendering a service in accordance with an embodiment of the present disclosure. The method (300) includes receiving, by a service request receiving module of a processing subsystem, a plurality of service requests from a client via a user interface in step 310. In one embodiment, receiving the plurality of service requests from the client may include receiving at least one of a financial investment request, an insurance planning request, a tax planning request, a household purchase request, a food ordering request, a ticket reserving request, a teaching request, a medical assistance request or a combination thereof. In such embodiment, the plurality of service requests may be received from the user in at least one of a text format, an audio format, an image format and the like. In some embodiment, the user interface may include, but not limited to, a web interface, an interface of a mobile application, an interactive robotic assistant and the like.

The method (300) also includes eliciting, by the service request receiving module of the processing subsystem, requirement information associated with the plurality of service requests from the client in step 320. In one embodiment, eliciting the requirement information associated with the plurality of service requests from the client may include eliciting the required information which may include at least one of available funds for investment, short term liquidity requirements, long term financial requirements, expenditure amount, existing investments, preferred investment mode, tax liabilities, appetite for risk, statutory disclosure details, nominee details, price of a household item, a brand of a household item or a combination thereof.

The method (300) also includes determining, by a service request analysis module of the processing subsystem, a goal for accomplishment of each of the plurality of service requests by establishing a connection with a central research hub based on the requirement information elicited in step 330. The method (300) also includes formulating, by the service request analysis module of the processing subsystem, one or more optimal strategies for achieving the goal determined corresponding to each of the plurality of service requests by utilizing a research output obtained from the central research hub, wherein the research output is generated based on a real-time market trend in step 340. In one embodiment, formulating the one or more optimal strategies for achieving the goal determined corresponding to each of the plurality of service requests may include at least one of one or more client details, one or more instrument details, one or more risk-mitigation and risk-management measures associated with one or more instruments, prevailing and forecast market conditions associated with the one or more instruments, prevailing and forecast regulatory regimes associated with the one or more instruments, prevailing expert opinion associated with the one or more instruments, assessment of the central research hub based on the prevailing expert opinion, historical performance track record of the one or more instruments or a combination thereof.

The method (300) also includes recommending, by a strategy recommendation module of the processing subsystem, the one or more optimal strategies formulated to the client for achieving the goal corresponding to each of the plurality of service requests in step 350. The method (300) also includes receiving, by the strategy recommendation module of the processing subsystem, an opinion corresponding to the one or more optimal strategies recommended to the client via a client interaction facilitated by the user interface in step 360.

The method (300) also includes providing, by the strategy recommendation module of the processing subsystem, one or more alternative strategies to the client for finalization of a strategy based on a plurality of strategy finalization parameters when the opinion corresponding to the one or more optimal strategies received is unsatisfactory in step 370. In one embodiment, providing the one or more alternative strategies to the client for finalization of the strategy based on the plurality of strategy finalization parameters may include providing the one or more alternative strategies to the client for finalization of the strategy based on the plurality of strategy finalization parameters including at least one of list of one or more alternative choices ranked for each goal, list of one or more alternative choices disapproved by the client, comparison of the one or more instruments based on one or more default parameters, a periodical projection of expected return on investment for the one or more instruments, one or more presumed risks for the one or more instruments, rationale for recommendation and rating of an investment choice or a combination thereof.

The method (300) also includes executing, by a strategy execution module of the processing subsystem, the strategy finalized corresponding to each of the plurality of service requests for rendering the service upon receiving a consent from the client in step 380. The method also includes monitoring, by the strategy execution module, one or more consequences of the strategy executed, reporting progress periodically to the client and making necessary corrections in response to deviation, or external events that may affect the one or more consequences in step 390. Various embodiments of the present disclosure provide a digital assistant which is equipped with intelligence pertinent to the tasks it performs, such as eliciting a client’s needs, devising an optimal strategy with client’s consent, execute the various action items in the strategy, monitor the periodic outcomes, monitor events to sense changes in the environment that impact the strategy and plan, suggest, implement changes as needed.

Moreover, the present disclosed digital assistant system is equipped with domain specific skills and often pushed into service for making optimal and good decisions for both the service provider and the client accurately as well as saves time in solving the client’s queries.

Furthermore, the present disclosed system provides optimal and standard solutions for different types of service requests to the client without spending huge amount of money and thereby helps in managing them by providing assistance. It will be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the disclosure and are not intended to be restrictive thereof.

While specific language has been used to describe the disclosure, any limitations arising on account of the same are not intended. As would be apparent to a person skilled in the art, various working modifications may be made to the method in order to implement the inventive concept as taught herein.

The figures and the foregoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, the order of processes described herein may be changed and are not limited to the manner described herein. Moreover, the actions of any flow diagram need not be implemented in the order shown; nor do all of the acts need to be necessarily performed. Also, those acts that are not dependent on other acts may be performed in parallel with the other acts. The scope of embodiments is by no means limited by these specific examples.

Claims

WE CLAIM:

1. A digital assistant system (100) for rendering a service comprising: a processing subsystem (105) hosted on a server (108), wherein the processing subsystem (105) is configured to execute on a network to control bidirectional communications among a plurality of modules comprising: a service request receiving module (110) configured to: receive a plurality of service requests from a client via a user interface; and elicit requirement information associated with the plurality of service requests from the client; a service request analysis module (120) operatively coupled to the service request receiving module (110), wherein the service request analysis module (120) is configured to: determine a goal for accomplishment of each of the plurality of service requests by establishing a connection with a central research hub based on the requirement information elicited; and formulate one or more optimal strategies for achieving the goal determined corresponding to each of the plurality of service requests by utilizing a research output obtained from the central research hub, wherein the research output is generated based on a real-time market trend; a strategy recommendation module (130) operatively coupled to the service request analysis module (120), wherein the strategy recommendation module (130) is configured to: recommend the one or more optimal strategies formulated to the client for achieving the goal corresponding to each of the plurality of service requests; receive an opinion corresponding to the one or more optimal strategies recommended to the client via a client interaction facilitated by the user interface; and provide one or more alternative strategies to the client for finalization of a strategy based on a plurality of strategy finalization parameters when the opinion corresponding to the one or more optimal strategies received is unsatisfactory; and a strategy execution module (140) operatively coupled to the strategy recommendation module (130), wherein the strategy execution module (140) is configured to: execute the strategy finalized corresponding to each of the plurality of service requests for rendering the service upon receiving a consent from the client; and monitor one or more consequences of the strategy executed, reporting progress periodically to the client and making one or more necessary corrections in response to deviation, or external events affecting the one or more consequences.

2. The system (100) as claimed in claim 1, wherein the plurality of service requests comprises at least one of a financial investment request, an insurance planning request, a tax planning request, a household purchase request, a food ordering request, a ticket reserving request, a teaching request, a medical assistance request or a combination thereof.

3. The system (100) as claimed in claim 1, wherein the requirement information comprises at least one of available funds for investment, short term liquidity requirements, long term financial requirements, expenditure amount, existing investments, preferred investment mode, tax liabilities, appetite for risk, statutory disclosure details, nominee details, price of a household item, a brand of a household item or a combination thereof.

4. The system (100) as claimed in claim 1, wherein the one or more optimal strategies comprises at least one of one or more client details, one or more instrument details, one or more risk- mitigation and risk-management measures associated with one or more instruments, prevailing and forecast market conditions associated with the one or more instruments, prevailing and forecast regulatory regimes associated with the one or more instruments, prevailing expert opinion associated with the one or more instruments, assessment of the central research hub based on the prevailing expert opinion, historical performance track record of the one or more instruments or a combination thereof.

5. The system (100) as claimed in claim 1, wherein the central research hub (125) is configured to create and maintain a research repository corresponding to a domain of operation, handle the plurality of service requests received from the client by registration process, fetch relevant information corresponding to each of the plurality of service requests from one or more external sources, keep a track of each of the plurality of service requests received from the client, analyze a plurality of expert opinions corresponding to each of the plurality of service requests, create one or more workflow mechanisms to facilitate client support operation, generate a logic to monitor lifecycle and performance of one or more digital assistant systems for rendering one or more services or a combination thereof.

6. The system (100) as claimed in claim 1, wherein the opinion comprises a satisfactory opinion when the opinion corresponding to the one or more optimal strategies recommended to the client is accepted.

7. The system (100) as claimed in claim 1, wherein the plurality of strategy finalization parameters comprises at least one of list of one or more alternative choices ranked for each goal, list of one or more alternative choices disapproved by the client, comparison of the one or more instruments based on one or more default parameters, a periodical projection of expected return on investment for the one or more instruments, one or more presumed risks for the one or more instruments, rationale for recommendation and rating of an investment choice or a combination thereof.

8. The system (100) as claimed in claim 1, wherein the processing subsystem (105) comprises a service monitoring module (150) configured to monitor one or more outcomes associated with performance of the digital assistant system for each of the plurality of service requests for rendering the service based on one or more factors, wherein the one or more factors comprises at least one of comparison of planned versus actual outcomes of one or more alternative strategies, comparison of performance metrics of one or more digital assistant systems, action on client’s opinion, employing simulation clients or a combination thereof.

9. The system (100) as claimed in claim 8, wherein the service monitoring module (150) is configured to: receive a feedback associated with the performance of the digital assistant system for rendering the service from the client through one or more generated tickets; and enable the central research hub to enhance the performance of the digital assistant system from a predefined performance threshold level through one or more actions for resolving the one or more generated tickets.

10. A method (300) comprising: receiving, by a service request receiving module of a processing subsystem, a plurality of service requests from a client via a user interface (310); eliciting, by the service request receiving module of the processing subsystem, requirement information associated with the plurality of service requests from the client (320); determining, by a service request analysis module of the processing subsystem, a goal for accomplishment of each of the plurality of service requests by establishing a connection with a central research hub based on the requirement information elicited (330); formulating, by the service request analysis module of the processing subsystem, one or more optimal strategies for achieving the goal determined corresponding to each of the plurality of service requests by utilizing a research output obtained from the central research hub, wherein the research output is generated based on a real-time market trend (340); recommending, by a strategy recommendation module of the processing subsystem, the one or more optimal strategies formulated to the client for achieving the goal corresponding to each of the plurality of service requests (350); receiving, by the strategy recommendation module of the processing subsystem, an opinion corresponding to the one or more optimal strategies recommended to the client via a client interaction facilitated by the user interface (360); providing, by the strategy recommendation module of the processing subsystem, one or more alternative strategies to the client for finalization of a strategy based on a plurality of strategy finalization parameters when the opinion corresponding to the one or more optimal strategies received is unsatisfactory (370); executing, by a strategy execution module of the processing subsystem, the strategy finalized corresponding to each of the plurality of service requests for rendering the service upon receiving a consent from the client (380); and monitoring, by the strategy execution module of the processing subsystem, one or more consequences of the strategy executed, reporting progress periodically to the client and making one or more necessary corrections in response to deviation, or external events affecting the one or more consequences (390).