This invention relates to AI-assisted system to track and analyze investors’ behavior at the Financial advisors or brokerage office.
Background of the Invention
US20120016678A1 Intelligent Automated Assistant discloses An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.
Research Gap: The inventor created a system that uses natural language dialogue to communicate with the user in an integrated, conversational manner.
DOI: 10.1109/ICCE-Berlin.2018.8576169 A deep learning-based system to track and analyze customer behavior in retail store discloses introduces an emotional tracking system to monitor Shopping Experience at different touchpoints in a retail store, based on the elaboration of the information extracted from biometric data and facial expressions. A preliminary test has been carried out to determine the system effectiveness in a real context regarding to emotion detection and customers' sex, age and ethnicity discrimination. To this end, information provided by the system have been compare with the results of a traditional video analysis. Results suggest that the proposed system can be effectively used to support the analysis of customer experience in a retail context.
Research Gap: The inventor focused on the different touchpoints in the retail store based on data extracted from biometric data.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. Present invention is AI-assisted system to track and analyze investors’ behavior at the Financial advisors or brokerage office
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
The emotional condition of the consumer must be tracked and an emotional curve drawn during the customer journey. The behavior of the investor behavior depends on the past portfolio history. What kind of returns an investor has earned in turn to the kind of expected returns will impact the investor’s behavior of future investments and other services.
Active portfolio monitoring is critical for managing the changing tides of financial markets and has an impact on the investor's behavior.
There are so many brokers available in the financial markets to open the DMAT account of the investors. What kind of services are these brokers or financial advisors are providing to the customers will affect the broker demand by the investors. There are various types of services provided by financial brokers and financial advisors.
Disclosed herein an AI-assisted system to track and analyze investors’ behavior at the Financial advisors or brokerage office comprises Edge Device (100), Computing Modules (101), Local Server (102), Cloud (103), and Client Dashboard (104); wherein said edge device is a network component that connects your local area network to a wider, external network, allowing you to collect data from anywhere.
The Edge device further consists of the Computing devices are electronic devices that take in data, process it, and then produce outcomes based on the data; it takes the data fed by the camera as the storage device; Neural Computing Stick; which Recognizes the facial and emotional characteristics of the investors and provides feedback through the features to the computing unit; Camera; which is an input device that fetches the investor’s expressions and provides the data to the computing device;
Storage; which collects the input data from the computing unit, collected on the basis of input devices; Power Supply for Power conversion changes the incoming electricity to a format that the electrical device can use.
The Computing module is a separate unit of software or hardware, which is a type of recognizing module that recognizes the facial expressions of the investors which are fetched by the Edge device and then transfer to the local server; wherein Computing Module Architecture consist Input factor recognizers; which provides the input about the kind of behavior the investor contains: Facial and Emotional Recognition; which recognizes the facial and emotional expressions of the investor; Age recognition; the age of the investor can be detected with the help of this device; Gaze recognition; Gaze gestures can be defined with different patterns used for interaction with the agents; and a gaze detector locates the position on a monitor screen where a user is looking; Speech recognition- on the basis of the kind of speech, low pitch, high pitch, aggressive, excited, the behavior can be recognized; Gender recognition- The gender of the investor, whether male or female; and Biofeedback recognition- Biofeedback is a technique for making unconscious or involuntary biological processes (such as heartbeats or brain waves) visible to the senses (e.g., using an oscilloscope) so that they can be controlled by conscious mental control.
The Local server is a computer that serves a client within the local network or LAN; it stores, retrieves data from the Computing Modules, and send or serve files and data to the other computer which is connected to the cloud network.
The Cloud is employed for Managing servers, configuring software, updating frameworks, and patching operating systems are among tasks that cloud services eliminate.
The client dashboard is a modern management solution that allows you to interactively display data and automate procedures from numerous data sources to develop reporting processes. In this system the client dash board provides the output report for the processed data of computing modules and user reaches to the final decision of recognizing the investor’s behavior.

BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
Fig. 1: Architecture of AI based Customer Behavior
Fig. 2: Edge Device Diagram
Fig. 3: Computing Module Architecture
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
These and other advantages of the present subject matter would be described in greater detail with reference to the following figures. It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
To detect the customer’s behavior is not an easy task. On the basis of the observation of the customer’s, mindset the server should offer the kind of services that the customer’s mind is asking for.
Understanding the exact sentiments elicited by market manipulations can lead to a better understanding of the role emotions play in affecting overall quality and consumer happiness, as well as encouraging repurchases.
The customer's emotions and behaviors must be monitored and analyzed in this setting in order to appropriately identify the steps to take (e.g., altering or adding new clues) in order to improve consumer happiness and maximize their purchasing experience).
However, tracking the client's emotional state and drawing the emotional curve along the customer journey is required to achieve this goal.
This invention provides a tool able to monitor the investor’s purchase and sale of investment avenues, through the study of behavioral information gathered from face expressions, you can gain experience.
Best Method of working:
Following are the details regarding the invention:
Edge Device 100- An edge device is a network component that connects your local area network to a wider, external network, allowing you to collect data from anywhere.
An Edge device consists of the following:
Computing Device- Computing devices are electronic devices that take in data, process it, and then produce outcomes based on the data. It takes the data fed by the camera as the storage device.
Neural Computing Stick- It Recognizes the facial and emotional characteristics of the investors and provides feedback through the features to the computing unit.
Camera- The camera is an input device that fetches the investor’s expressions and provides the data to the computing device.
Storage- It collects the input data from the computing unit, collected on the basis of input devices.
Power Supply- Power conversion changes the incoming electricity to a format that the electrical device can use.
Computing Modules 101- Computing module is a separate unit of software or hardware, which is a type of recognizing module that recognizes the facial expressions of the investors which are fetched by the Edge device and then transfer to the local server. In this invention the Computing Module Architecture consist of the below:
Input factor recognizers-The following are the various input factor recognizers, which provides the input about the kind of behavior the investor contains:
Facial and Emotional Recognition- It recognizes the facial and emotional expressions of the investor.
Age recognition- the age of the investor can be detected with the help of this device.
Gaze recognition- Gaze gestures can be defined with different patterns used for interaction with the agents. A gaze detector locates the position on a monitor screen where a user is looking.
Speech recognition- on the basis of the kind of speech, low pitch, high pitch, aggressive, excited, etc, the behavior can be recognized.
Gender recognition- The gender of the investor, whether male or female.
Biofeedback recognition- Biofeedback is a technique for making unconscious or involuntary biological processes (such as heartbeats or brain waves) visible to the senses (e.g., using an oscilloscope) so that they can be controlled by conscious mental control.
Kind of Behavior an investor has, as an output- The following are the various types of behavior which the investors carry while interacting with the agents:
Happiness, Surprise, Sadness, Anger, Disgust, Fear, Neutral.
On the basis of above behavior recognition, the broker can easily find out the kind of investors choice regarding their investment choices and on the basis of that they can design their portfolios easily.
Local Server 102- Local server is a computer that serves a client within the local network or LAN. It stores, retrieves data from the Computing Modules, and send or serve files and data to the other computer which is connected to the cloud network.
Cloud 103- Managing servers, configuring software, updating frameworks, and patching operating systems are among tasks that cloud services eliminate. Google manages the software completely, allowing the code to be added.
Client Dash Board 104- A client dashboard is a modern management solution that allows you to interactively display data and automate procedures from numerous data sources to develop reporting processes. In this system the client dash board will provide the output report for the processed data of computing modules and we will reach to the final decision of recognizing the investor’s behavior.
ADVANTAGES OF THE INVENTION:
In the future, artificial intelligence (AI) is likely to substantially change both marketing strategies and customer behaviors in the field of finance also as described below:
1. Artificial intelligence (AI) and machine learning (ML) are significant enablers for improving trade and investment decisions.
2. Competent financial advisors make clever use of actionable AI and ML input to deliver a comprehensive study of stocks/sectors and investor behaviour in order to build long-term wealth for various customers.
3. By using AI, computers can sift through data to recognize patterns and make predictions, without being explicitly programmed to do so.
4. With AI machines possessing capabilities to evolve, adapt and search for patterns, financial advisors, brokers etc can use them to enhance investments.
Novel Features of the Invention
1. Artificial intelligence (AI) and machine learning (ML) are significant enablers for improving trade and investment decisions.
2. Competent financial advisors make clever use of actionable AI and ML input to deliver a comprehensive study of stocks/sectors and investor behaviour in order to build long-term wealth for various customers.
3. By using AI, computers can sift through data to recognize patterns and make predictions, without being explicitly programmed to do so.
4. With AI machines possessing capabilities to evolve, adapt and search for patterns, financial advisors, brokers etc can use them to enhance investments.

WE CLAIM:

1. An AI-assisted system to track and analyze investors’ behavior at the Financial advisors or brokerage office comprises Edge Device (100), Computing Modules (101), Local Server (102), Cloud (103), and Client Dashboard (104); wherein said edge device is a network component that connects your local area network to a wider, external network, allowing you to collect data from anywhere.
2. The system as claimed in claim 1, wherein said Edge device further consists of the
Computing devices are electronic devices that take in data, process it, and then produce outcomes based on the data; it takes the data fed by the camera as the storage device;
Neural Computing Stick; which Recognizes the facial and emotional characteristics of the investors and provides feedback through the features to the computing unit;
Camera; which is an input device that fetches the investor’s expressions and provides the data to the computing device;
Storage; which collects the input data from the computing unit, collected on the basis of input devices;
Power Supply for Power conversion changes the incoming electricity to a format that the electrical device can use.
3. The system as claimed in claim 1, wherein Computing module is a separate unit of software or hardware, which is a type of recognizing module that recognizes the facial expressions of the investors which are fetched by the Edge device and then transfer to the local server; wherein Computing Module Architecture consist Input factor recognizers; which provides the input about the kind of behavior the investor contains:
Facial and Emotional Recognition; which recognizes the facial and emotional expressions of the investor;
Age recognition; the age of the investor can be detected with the help of this device;
Gaze recognition; Gaze gestures can be defined with different patterns used for interaction with the agents; and a gaze detector locates the position on a monitor screen where a user is looking;
Speech recognition- on the basis of the kind of speech, low pitch, high pitch, aggressive, excited, the behavior can be recognized;
Gender recognition- The gender of the investor, whether male or female; and
Biofeedback recognition- Biofeedback is a technique for making unconscious or involuntary biological processes (such as heartbeats or brain waves) visible to the senses (e.g., using an oscilloscope) so that they can be controlled by conscious mental control.
4. The system as claimed in claim 1, wherein Local server is a computer that serves a client within the local network or LAN; it stores, retrieves data from the Computing Modules, and send or serve files and data to the other computer which is connected to the cloud network.
5. The system as claimed in claim 1, wherein said Cloud is employed for Managing servers, configuring software, updating frameworks, and patching operating systems are among tasks that cloud services eliminate.
6. The system as claimed in claim 1, wherein said client dashboard is a modern management solution that allows you to interactively display data and automate procedures from numerous data sources to develop reporting processes.
7. The system as claimed in claim 1, wherein in this system the client dash board provides the output report for the processed data of computing modules and user reaches to the final decision of recognizing the investor’s behavior.