Claims:1. A system (10) to manage one or more leads, wherein the system comprises:
one or more processors (20);
an input module (30) operable by the one or more processors (20), and configured to receive one or more entity details from corresponding one or more entities;
an event scheduling module (40) operable by the one or more processors (20), and configured to generate a road map for one or more events associated to the corresponding one or more leads, wherein the road map comprises contact details associated to each of the corresponding one or more leads;
a contact analysis module (50) operable by the one or more processors (20), and configured to analyse at least one of one or more details of the one or more leads, a generated road map, on one or more historic details associated to the one or more leads, or a combination thereof, to generate an analysis result;
a contact scheduling module (60) operable by the one or more processors (20), and configured to schedule an appointment for an authorized entity to contact the one or more leads based on the analysis result;
a contact recommendation module (70) operable by the one or more processors (20), and configured to generate one or more predictions to generate a new road map based on the analysis result; and
a contextual reminder module (80) operable by the one or more processors (20), and configured to generate at least one reminder for the authorized entity, wherein the reminder is representative of the one or more events associated to the corresponding one or more leads based on one or more parameters.
2. The system (10) as claimed in claim 1, wherein the one or more entity details comprises at least one of personal information, professional information, one or more call logs, duration of one or more calls, or a combination thereof.
3. The system (10) as claimed in claim 1, wherein the one or more events comprises at least one of making a phone call, scheduling a phone call at a pre-defined time interval, generating a follow up call, sending a text message at a pre-defined time, generating a follow up message, or a combination thereof.
4. The system (10) as claimed in claim 1, wherein the contact analysis module (50) is configured to check and analyse a status of the one or more events of the road map at every pre-defined time frame.
5. The system (10) as claimed in claim 1, wherein the one or more parameters comprises at least one of requirements of one or more resources for the corresponding one or more events, availability of the corresponding one or more leads, availability of the authorized entity, or a combination thereof, wherein the availability of the one or more leads is associated to schedule of the one or more leads, location of the one or more leads or a combination thereof, wherein the schedule of the authorized entity is associated to schedule of the authorized entity, location of the authorized entity or a combination thereof.
6. The system (10) as claimed in claim 1, comprising:
a notification module operable by the one or more processors (20), and configured to generate a notification associated to at least one of the one or more events of the road map;
a context suggestion module operable by the one or more processors (20), and configured to suggest one or more keywords to create the one or more events and the roadmap, based on the analysis result; and
a rating module operable by the one or more processors (20), and configured to generate a rating for at least one of the one or more leads based on the analysis result, the one or more historic data, the one or more parameters or a combination thereof.
7. A method (200) for managing one or more leads, wherein the method comprises:
receiving (210), by an input module, one or more entity details from corresponding one or more entities;
generating (220), by an event scheduling module, a road map for one or more events associated to the corresponding one or more leads;
analysing (230), by a contact analysis module, at least one of one or more details of the one or more leads, a generated road map, on one or more historic details associated to the one or more leads, or a combination thereof, for generating an analysis result;
scheduling (240), by a contact scheduling module, an appointment for an authorized entity for contacting the one or more leads based on the analysis result;
generating (250), by a contact recommendation module, one or more predictions for generating a new road map based on the analysis result; and
generating (260), by a contextual reminder module, at least one reminder for the authorized entity, wherein the reminder is representative of the one or more events associated to the corresponding one or more leads based on one or more parameters.
8. The method (200) as claimed in claim 7, wherein receiving the one or more entity details comprises receiving at least one of personal information, professional information, one or more call logs, duration of one or more calls, or a combination thereof.
9. The method (200) as claimed in claim 7, wherein generating the at least one reminder based on the one or more parameters comprises generating the at least one reminder based on at least one of requirements of one or more resources for the corresponding one or more events, availability of the corresponding one or more leads, availability of the authorized entity, or a combination thereof, wherein the availability of the one or more leads is associated to schedule of the one or more leads, location of the one or more leads or a combination thereof, wherein the schedule of the authorized entity is associated to schedule of the authorized entity, location of the authorized entity or a combination thereof.
10. The method (200) as claimed in claim 7, comprising:
generating, by a notification module, a notification associated to at least one of the one or more events of the road map;
suggesting, by a context suggestion module, one or more keywords to create the one or more events and the roadmap, based on the analysis result; and
generating, by a rating module, a rating for at least one of the one or more leads based on the analysis result, the one or more historic data, the one or more parameters or a combination thereof.

Dated this 17th day of June 2021

Signature

Harish Naidu
Patent Agent (IN/PA-2896)
Agent for the Applicant
, Description:FIELD OF INVENTION
[0001] Embodiments of a present disclosure relate to creating one or more leads, more particularly, to system and method to manage one or more leads.
BACKGROUND
[0002] Leads are defined as installation of consumer interest or enquiry into products or services of a business or an institution. In conventional, approaches, leads are brought into services by an exclusive individual who have the professional background and experiences in communicating with the leads in order to provide them the products or services offered by an entity. In such conventional approaches, the user (salesperson) makes a call with one or more leads to discuss and convince the leads to incur the product or service the entity is offering. At times the leads may be pre-occupied or busy with their schedules and such calls from the user may be disturbing and also can annoy the entities at times. Both the user and the leads are in a situation where anyone needs to compromise on their work or time, which makes such a conventional approach less reliable and less user friendly. It can also happen that, even if the leads want to take the assistance form the user for their corresponding product or service, the same may be compromised due to the lack of synchronization of time and therefore communication gap between the leads and the user, thereby making the conventional approach for managing the leads less efficient.
[0003] Hence, there is a need for an improved system and method to manage one or more leads to address the aforementioned issues.
BRIEF DESCRIPTION
[0004] In accordance with one embodiment of the disclosure, a system to manage one or more leads is provided. the system includes one or more processors. The system also includes an input module configured to receive one or more entity details from corresponding one or more entities. The system also includes an event scheduling module configured to generate a road map for one or more events associated to the corresponding one or more leads, wherein the road map comprises contact details associated to each of the corresponding one or more leads. The system also includes a contact analysis module configured to analyse at least one of one or more details of the one or more leads, a generated road map, on one or more historic details associated to the one or more leads, or a combination thereof, to generate an analysis result. The system also includes a contact scheduling module configured to schedule an appointment for an authorized entity to contact the one or more leads based on the analysis result. The system also includes a contact recommendation module configured to generate one or more predictions to generate a new road map based on the analysis result. The system further includes a contextual reminder module configured to generate at least one reminder for the authorized entity, wherein the reminder is representative of the one or more events associated to the corresponding one or more leads based on one or more parameters.
[0005] In accordance with another embodiment of the disclosure, a method for managing one or more leads is provided. The method includes receiving one or more entity details from corresponding one or more entities. The method also includes generating, a road map for one or more events associated to the corresponding one or more leads. The method also includes analysing at least one of one or more details of the one or more leads, a generated road map, on one or more historic details associated to the one or more leads, or a combination thereof, for generating an analysis result. The method also includes scheduling an appointment for an authorized entity for contacting the one or more leads based on the analysis result. The method also includes generating one or more predictions for generating a new road map based on the analysis result. The method further includes generating at least one reminder for the authorized entity, wherein the reminder is representative of the one or more events associated to the corresponding one or more leads based on one or more parameters.
[0006] 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:
[0007] FIG. 1 is a block diagram representation of a system to manage one or more leads in accordance with an embodiment of the present disclosure;
[0008] FIG. 2 is a block diagram representation of an exemplary embodiment of a system to manage one or more leads of a financial institution of FIG. 1 in accordance with an embodiment of the present disclosure;
[0009] FIG. 3 is a block diagram of a computer or a server in accordance with an embodiment of the present disclosure; and
[0010] FIG. 4 is a flow chart representing steps involved in a method for managing one or more leads in accordance with an embodiment of the present disclosure.
[0011] 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
[0012] 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.
[0013] 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.
[0014] 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.
[0015] 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.
[0016] Embodiments of the present disclosure relate system and method to manage one or more leads. As used herein, the term ‘leads’ may be defined as installation of consumer interest or enquiry into products or services of an institution.
[0017] FIG. 1 is a block diagram representation of a system (10) to manage one or more leads in accordance with an embodiment of the present disclosure. The system (10) includes one or more processors (20). The system (10) also includes an input module (30) configured to receive one or more entity details from corresponding one or more entities. In one specific embodiment, the entity may be one of a user, an organization, a robot such as a robotic vehicle, a drone vehicle, or the like. In one embodiment, the one or more entity details may include at least one of personal information, professional information, one or more call logs, duration of one or more calls, or a combination thereof in case the entity is the user. In another embodiment, the one or more entity details may include at least one of an organizational information, kind of service or product being produced by the corresponding organization, one or more call logs, duration of one or more calls, or a combination thereof in case the entity is the organization. In yet another embodiment, the one or more entity details may include at least one of a bot/ vehicle details, unique identification number, one or more call logs, duration of one or more calls, or a combination thereof in case the entity is one of the robotic vehicle, the drone vehicle or the like.
[0018] The system (10) also includes an event scheduling module (40) configured to generate a road map for one or more events associated to the corresponding one or more leads. The road map includes contact details associated to each of the corresponding one or more leads. In one embodiment, the one or more events may include at least one of making a phone call, scheduling a phone call at a pre-defined time interval, generating a follow up call, sending a text message at a pre-defined time, generating a follow up message, or a combination thereof. In one specific embodiment, the term ‘road map’ may be defined as a plan or a structure used by the system (10) in order to manage the one or more leads. For example, the road map may include finding a potential lead from one or more sources, having a first level interaction with the potential lead in order to extract the requirements and to analyse if the requirements of the potential lead matches with the product or service offered by the entity, getting into an agreement if the interest of the potential lead and the entity matches, shortlisting the data requirements for the entity from the client to offer the required service, generating a follow up meeting or a call when not heard from the potential client, offering the requirement by the entity for the potential client on fulfilling the requisites, or the like as per the requirements and status. In order to manage the road map, there may be a requirement for the entity to follow up with the corresponding one or more leads. In such embodiment, the entity may be a person, an organization, an institute, or the like who may be offering services in the form of product or service itself.
[0019] Furthermore, the system (10) includes a contact analysis module (50) configured to analyse at least one of one or more details of the one or more leads, a generated road map, on one or more historic details associated to the one or more leads, or a combination thereof, to generate an analysis result. More specifically, calendars of the one or more leads may be synced with the system (10), further an analysis technique may be used to analyze the availability of the corresponding one or more leads. In one exemplary embodiment, the analysis technique may include at least one of an artificial intelligence technique, a machine learning technique, or a combination thereof. As used herein, the term ‘artificial intelligence technique’ may be defined as a type of intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. Also, the term ‘machine learning technique’ may be defined as a study of computer algorithms that improve automatically through experience and using data, which is seen as a part of artificial intelligence. In such embodiment, an ML model may be generated by the contact analysis module (50) with a pre-defined set of instructions and rules, based on which the ML model may analyse one or more of the above-mentioned parameters.
[0020] In one embodiment, the one or more historic details of the one or more leads may include data related to previous service or product incurred by the one or more leads by the same entity or a similar entity, a rating for the service offered by the corresponding entity given by the one or more leads, feedback for the service incurred by the entity, or the like. Considering all the factors, the analysis result or the analysis report may be generated by the contact analysis module (50).
[0021] In one exemplary embodiment, upon analysing the above-mentioned parameters, the contact analysis module (50) may generate an analysis report which may include the availability of the corresponding one or more leads, status of requirement of the one or more leads towards the product or service offered by the entity, or the like.
[0022] In another exemplary embodiment, contact analysis module (50) may be configured to check and analyse a status of the one or more events of the road map at every pre-defined time frame. In one exemplary embodiment, the contact analysis module (50) may be configured to analyse content of at least one call which may have been held between the entities and the corresponding one or more leads. For example, if on a call between the entity and a lead, the lead may have mentioned to the entity asking to call back on ‘X’ day at ‘Y’ time, further to which the contact analysis module (50) may analyse the content, the date and the time and may have stored the same in a storage device or in a database, which may be retrieved for further analysis.
[0023] The system (10) further includes a contact scheduling module (60) configured to schedule an appointment for an authorized entity to contact the one or more leads based on the analysis result. The system (10) also includes a contact recommendation module (70) is configured to generate one or more predictions to generate a new road map based on the analysis result. In one embodiment, based on the analysis result, the contact recommendation module (70) may generate the new road map to enable the entity to contact the corresponding one or more leads. The new road map may include one of an available time an available location, or the like of the corresponding one or more leads for the corresponding entity to contact the leads. In one specific embodiment, the authorized entity may be one of a user, an organization, a robot such as a robotic vehicle, a drone vehicle, or the like.
[0024] Furthermore, the system (10) also includes a contextual reminder module (80) configured to generate at least one reminder for the authorized entity. The reminder is representative of the one or more events associated to the corresponding one or more leads based on one or more parameters. In one embodiment, one or more parameters may include at least one of requirements of one or more resources for the corresponding one or more events, availability of the corresponding one or more leads, availability of the authorized entity, or a combination thereof, wherein the availability of the one or more leads is associated to schedule of the one or more leads, location of the one or more leads or a combination thereof, wherein the schedule of the authorized entity is associated to schedule of the authorized entity, location of the authorized entity or a combination thereof.
[0025] In one exemplary embodiment, the system (10) may further include a notification module which may be configured to generate a notification associated to at least one of the one or more events of the road map. In one exemplary embodiment, the notification may be one of a message, and alert, or the like. In such embodiment, the message may be in a form of a text message, a voice message, a multimedia message, or the like. The notification may be generated to alert the entity to contact or to follow up with the available one or more leads.
[0026] Further, the system (10) may also include a context suggestion module which may be configured to suggest one or more keywords to create the one or more events and the roadmap, based on the analysis result. Referring to the above-mentioned embodiment, the context suggestion module may suggest the date and time for the contact recommendation module to create the new road map in order to manage the one or more leads to incur the products or services offered by the entity.
[0027] The system (10) may also include a rating module operable which may be configured to generate a rating for at least one of the one or more leads based on the analysis result, the one or more historic data, the one or more parameters or a combination thereof. In one embodiment, the rating may be in a form of points, starts, or the like which may be used to identify the worth of the one or more leads for the entity. For example, if a lead ‘A’ is incurring constant service from an entity ‘X’ and is satisfied with the service offered by the entity ‘X’, then the rating module may generate a high rating for the lead ‘A’. In one specific embodiment, the system (10) may further include a feedback module which may be configured to enable the one or more leads to provide a feedback for the corresponding entity. Such feedback may also be considered by the rating module to rate the corresponding one or more leads.
[0028] FIG. 2 is a block diagram representation of an exemplary embodiment of a system (90) to manage one or more leads of a financial institution (100) of FIG. 1 in accordance with an embodiment of the present disclosure. The financial institution (100) for example a bank ‘A’ (100) may run an offer for multiple users (110) who are the leads for the financial institution (100) to take loans at a lesser rate of interest which may be specially released offer for a specific time period. Initially, when the multiple users (110) register with the financial institution (100) on a platform upon providing user details such as personal information such as contact details, name address, and the like; professional information such as occupation, employer, and the like, one or more call logs with the bank ‘A’ (100) during one or more discussions, and the like, duration of one or more calls between the bank ‘A’ (100) and the corresponding user (110); which are shared via an input module (30) managed by one or more processors (20) using a corresponding user device (120). When the bank ‘A’ (100) initiates the offer, a road map for each of the multiple users (100) is created by an event scheduling module (40). Further, based on all the received data, the created road map and historic details of each of the multiple users (110) based on previous transactions with the bank ‘A’ (100) and other financial institutions, contact analysis module (50) will analyse all the above said details and generate an analysis result. Based on the analysis result, a contact scheduling module (60) will schedule an appointment to have a call for an authorized user of the bank ‘A’ with one or more of the multiple users (110) at different time slots. Once the call between the bank ‘A’ (100) and the user (110) takes place, based on the discussion over the call, the content is analysed and a prediction with respect to a percentage of the user being interested in the offer, gets generated by a contact recommendation module (70).
[0029] Furthermore, based on the recommendation, if the probability of the user being interested in the offer is high, then a contextual reminder module (80) generates a reminder for the authorized user of the bank ‘A’ (100) to follow up with the corresponding user (110). Based on the further discussion, a notification module (130) generates a notification for the authorized user to initiate the status of the road map generated.
[0030] Consequently, if any modifications are identified in the status of the user (110), a context suggestion module (140) may suggest one or more keywords for an ML model which may be responsible in creating the road map, suggestions and the notifications for both the user (110) and the financial institution respectively.
[0031] Furthermore, based on all the activities and communications between the user (110) and the bank ‘A’ (100), a rating module (150) may rate the corresponding multiple users (110) for which may be utilized by the system (90) to manage the potential leads for the financial institution (110).
[0032] Furthermore, the one or more processors (20), the input module (30), the event scheduling module (40), the contact analysis module (50), the contact scheduling module (60), the contact recommendation module (70), the contextual reminder module (80), the notification module (130), the context suggestion module (140) and the rating module (150) of FIG. 2 are substantially similar to one or more processors (20), an input module (30), an event scheduling module (40), a contact analysis module (50), a contact scheduling module (60), a contact recommendation module (70), a contextual reminder module (80), a notification module, a context suggestion module and a rating module of FIG. 1 respectively.
[0033] FIG. 3 is a block diagram of a computer or a server (160) in accordance with an embodiment of the present disclosure. The server (160) includes processor(s) (170), and a memory (180) coupled to a bus (190). As used herein, the processor(s) (170) and the memory (180) are substantially similar to the system (10) of FIG. 1. Here, the memory (180) is located in a local storage device.
[0034] The processor(s) (170), 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.
[0035] Computer memory elements may include any suitable memory device(s) for storing data and executable program, such as read only memory, random access memory, erasable programmable read only memory, electrically erasable programmable read only memory, hard drive, removable media drive for handling memory cards and the like. Embodiments of the present subject matter may be implemented in conjunction with program modules, including functions, procedures, data structures, and application programs, for performing tasks, or defining abstract data types or low-level hardware contexts. Executable program stored on any of the above-mentioned storage media may be executable by the processor(s) (170).
[0036] The memory (180) includes a plurality of modules stored in the form of executable program which instructs the processor(s) (170) to perform method steps illustrated in FIG. 4. The memory (180) has following modules: an input module (30), an event scheduling module (40), a contact analysis module (50), a contact scheduling module (60), a contact recommendation module (70), a contextual reminder module (80).
[0037] The input module (30) is configured to receive one or more entity details from corresponding one or more entities. The event scheduling module (40) is configured to generate a road map for one or more events associated to the corresponding one or more leads. The contact analysis module (50) is configured to analyse at least one of one or more details of the one or more leads, a generated road map, on one or more historic details associated to the one or more leads, or a combination thereof, to generate an analysis result. The contact scheduling module (60) is configured to schedule an appointment for an authorized entity to contact the one or more leads based on the analysis result. The contact recommendation module (70) is configured to generate one or more predictions to generate a new road map based on the analysis result. The contextual reminder module (80) is configured to generate at least one reminder for the authorized entity.
[0038] FIG. 4 is a flow chart representing steps involved in a method (200) for managing one or more leads in accordance with an embodiment of the present disclosure. The method (200) includes receiving one or more entity details from corresponding one or more entities in step 210. In one embodiment, receiving the one or more entity details may include receiving the one or more entity details by an input module. In one exemplary embodiment, receiving the one or more entity details may include receiving at least one of personal information, professional information, one or more call logs, duration of one or more calls, or a combination thereof.
[0039] The method (200) also includes generating a road map for one or more events associated to the corresponding one or more leads in step 220. In one embodiment, generating the road map may include generating the road map by an event scheduling module. In one exemplary embodiment, generating the road map may include generating the road map for at least one of making a phone call, scheduling a phone call at a pre-defined time interval, generating a follow up call, sending a text message at a pre-defined time, generating a follow up message, or a combination thereof.
[0040] The method (200) further includes analysing at least one of one or more details of the one or more leads, a generated road map, on one or more historic details associated to the one or more leads, or a combination thereof, for generating an analysis result in step 230. In one embodiment, analysing one or more attributes may include analysing one or more attributes by a contact analysis module.
[0041] Furthermore, the method (200) includes scheduling an appointment for an authorized entity for contacting the one or more leads based on the analysis result in step 240. In one embodiment, scheduling the appointment may include scheduling the appointment by a contact scheduling module.
[0042] The method (200) also includes generating one or more predictions for generating a new road map based on the analysis result in step 250. In one embodiment, generating the one or more predictions may include generating the one or more predictions by a contact recommendation module.
[0043] The method (200) also includes generating at least one reminder for the authorized entity, wherein the reminder is representative of the one or more events associated to the corresponding one or more leads based on one or more parameters in step 260. In one embodiment, generating the at least one reminder may include generating the at least one reminder by a contextual reminder module. In one exemplary embodiment, generating the at least one reminder based on the one or more parameters may include generating the at least one reminder based on at least one of requirements of one or more resources for the corresponding one or more events, availability of the corresponding one or more leads, availability of the authorized entity, or a combination thereof, wherein the availability of the one or more leads is associated to schedule of the one or more leads, location of the one or more leads or a combination thereof, wherein the schedule of the authorized entity is associated to schedule of the authorized entity, location of the authorized entity or a combination thereof.
[0044] In one exemplary embodiment, the method (200) may further include generating a notification associated to at least one of the one or more events of the road map. In such embodiment, generating the notification may include generating the notification by a notification module. In one exemplary embodiment, generating the notification may include generating the notification in at least one of a text form, a voice form, a video form, a multimedia form, or the like.
[0045] In another exemplary embodiment, the method (200) may further include suggesting one or more keywords to create the one or more events and the roadmap, based on the analysis result. In such embodiment, suggesting the one or more keywords may include suggesting the one or more keywords by a context suggestion module.
[0046] In yet another exemplary embodiment, the method (200) may further include generating a rating for at least one of the one or more leads based on the analysis result, the one or more historic data, the one or more parameters or a combination thereof. In such embodiment, generating the rating may include generating the rating by a rating module. In one exemplary embodiment, generating the rating may include generating the rating in at least one of a point form, a start ratting, or the like.
[0047] In yet another embodiment, the method (200) may further include receiving a feedback from the one or more leads for the corresponding entities. In such embodiment, receiving the feedback may include receiving the feedback by a feedback module. In one exemplary embodiment, receiving the feedback may include receiving the feedback for one of the products or the services offered by the corresponding one or more entities.
[0048] It should be noted that the elements disclosed in FIG. 4 are substantially similar to all the elements and contents disclosed in FIG. 1, henceforth all the embodiments of FG. 1 holds good to the corresponding elements of FIG. 4.
[0049] Various embodiments of the present disclosure enable the system to manage the timings between the one or more leads and the corresponding authorized entities to manage the exchange of products or services. The system allows the communication based on the availability of the leads, which helps both the leads and the entities to have a smooth communication, thereby making the system more reliable and efficient. The system also eliminates the communication gap which may have otherwise occurred due to the gap between the leads and the entities in understanding the interests and knowing the availability for the same.
[0050] 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.
[0051] 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, 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.