FORM 2
THE PATENTS ACT, 1970
(39 of 1970)
As amended by the Patents (Amendment) Act, 2005
&
The Patents Rules, 2003
As amended by the Patents (Amendment) Rules, 2016
COMPLETE SPECIFICATION
(See Section 10 and Rule 13)
Title: “SYSTEM AND METHOD FOR PROVIDING PERSONALIZED SOLUTIONS
USING BOTS”
Name and Address of the Applicant:
Applicant: INZANE LABS PRIVATE LIMITED
Nationality: INDIAN
Address: 228 CHAMPAKLAL INDUSTRIAL ESTATE, NEAR MTNL, SION
EAST, MUMBAI - 400 022
The following specification particularly describes the invention and the manner in which it is
to be performed.
2
SYSTEM AND METHOD FOR PROVIDING PERSONALIZED SOLUTIONS
USING BOTS
FIELD OF TECHNOLOGY
[001] The disclosure relates generally to bots and more particularly to a system and a
method for providing a personalized experience to a user for a plurality of services offered by
one or more installed applications (Apps) on a user device, by integration of bots into the
installed application (app).
BACKGROUND
[002] With advancements in technology, users are being exposed to digital forms of
various traditional methods. For instance, the users read a book online instead of buying a
physical copy of the book. In another instance, the users can shop online instead of visiting a
retail store. The users can also learn different courses online instead of opting for classroom
studying. However, such digital forms are mostly generic interfaces for many users with little
or no personalization. For example, the users use messaging interfaces with fixed functionality.
The users are hence unable to personalize the digital forms as per need of the users.
[003] Moreover, with the recent advent of cloud computing the availability of ‘connected
apps’ that communicate with external servers and other devices is also increasing at an
exponential pace. Further, the downloadable apps are typically packaged so as to prevent
tampering. Subsequently, the packaged apps are inspected and approved by App Stores and
made available to a vast audience. These apps cannot be personalized after they are downloaded
or installed onto mobile devices.
[004] In most cases, such apps require (or at least permit) users to login in order to facilitate
a personalized experience which is only one-time personalization process and hence does not
provide fully personalized experience to the user. Moreover, when services are provided
through intermediaries, often to less “tech-savvy” users, the need for a simplified download
and personalization process becomes even more apparent.
SUMMARY
[005] In order to solve at least some of the above mentioned problems, there exists a need
for a system and a method configured to provide a personalized experience to a user for a
3
plurality of services offered by one or more installed applications (Apps) on a user device. A
method is needed to know and understand the user on an individual basis. A one or more bots
are needed to be integrated with the installed apps on the user device that are configured to
learn user preferences, user likes and habits in order to provide the user, the plurality of services
of the installed apps in a personalized way.
[006] Briefly, according to an exemplary embodiment, a system configured for providing
a personalized experience to a user for a plurality of services is provided. The system includes
a user device and a bot server. The user device comprises one or more installed applications
configured to deliver the plurality of services to the user. The bot server is communicatively
coupled to the user device. The bot server comprises a processor with a memory, wherein the
memory stores a plurality of modules to be executed by the processor, and wherein the plurality
of modules are configured to receive one or more queries or input from the user of the user
device and integrate one or more bots with the installed application on the user device, based
on the one or more queries or the input, to provide the user with a personalized experience.
[007] Briefly, according to an exemplary embodiment, a method for automatically
personalizing an application by integrating one or more bots is provided. The method includes
receiving one or more queries or input from a user of a user device. The method also includes
integrating one or more bots with the application installed on the user device, based on the one
or more queries or the input. The method further includes generating one or more
recommendations associated with a plurality of services of the installed application and
personalizing the installed application by providing the one or more recommendations
associated with the plurality of services of the installed application.
[008] The summary above is illustrative only and is not intended to be in any way limiting.
Further aspects, exemplary embodiments, and features will become apparent by reference to
the drawings and the following detailed description.
BRIEF DESCRIPTION OF THE FIGURES
[009] These and other features, aspects, and advantages of the exemplary embodiments
can be better understood when the following detailed description is read with reference to the
accompanying drawings in which like characters represent like parts throughout the drawings,
wherein:
4
[0010] FIG. 1 is a block diagram of one embodiment of a system configured for providing
a personalized experience to a user for a plurality of services offered by one or more installed
applications (Apps) on the user device, according to an embodiment of the present disclosure;
[0011] FIG. 2 is a block diagram representation of a bot server, according to an embodiment
of the present disclosure;
[0012] FIG. 3 illustrates an example flow diagram of a method for providing a personalized
experience to a user for a plurality of services offered by one or more installed applications
(Apps) on the user device, according to an embodiment of the present disclosure; and
[0013] FIG. 4 illustrates a block diagram of an electronic device, according to an
embodiment of the present disclosure.
[0014] Further, skilled artisans 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 invention so as not to
obscure the figures with details that will be readily apparent to those of ordinary skill in the art
having the benefit of the description herein.
DETAILED DESCRIPTION
[0015] For the purpose of promoting an understanding of the principles of the invention,
reference will now be made to the embodiments illustrated in the figures and specific language
will be used to describe the same. It will nevertheless be understood that no limitation of the
scope of the invention is thereby intended, such alterations and further modifications in the
illustrated system, and such further applications of the principles of the invention as illustrated
therein being contemplated as would normally occur to one skilled in the art to which the
invention relates.
[0016] 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 invention and are
not intended to be restrictive thereof.
[0017] The terms "comprises", "comprising", or any other variations thereof, are intended
5
to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps
does not comprise only those steps but may comprise other steps not expressly listed or inherent
to such process or method. Similarly, one or more devices or sub-systems or elements or
structures or components proceeded by "comprises.. a" does not, without more constraints,
preclude the existence of other devices or other sub-systems or other elements or other
structures or other components or additional devices or additional sub-systems or additional
elements or additional structures or additional components. Appearances of the phrase “in an
embodiment”, “in another embodiment” and similar language throughout this specification
may, but do not necessarily, all refer to the same embodiment.
[0018] Unless otherwise defined, all technical and scientific terms used herein have the
same meaning as commonly understood by one of ordinary skill in the art to which this
invention belongs. The system, methods, and examples provided herein are illustrative only
and not intended to be limiting.
[0019] At least one exemplary embodiment is generally directed towards a system and
method for providing personalized solutions using bots. The method includes facilitating, by a
bot server, a user to login to a user interface on a user device. The method also includes
receiving one or more queries or inputs from the user using the user device. Further, the method
includes selecting one or more bots based on the one or more queries or inputs. Moreover, the
method includes managing the one or more bots to interact with the user on the user device and
respond to the one or more queries or inputs.
[0020] In addition to the illustrative aspects, exemplary embodiments, and features
described above, further aspects, exemplary embodiments of the present disclosure will
become apparent by reference to the drawings and the following detailed description.
[0021] FIG. 1 is a block diagram of one embodiment of a system 100 configured for
providing a personalized experience to a user for a plurality of services offered by one or more
installed applications (Apps) on a user device, according to an embodiment of the present
disclosure. In particular, the system 100 includes the user device 105, a network 110, and a bot
server 115. The present disclosure is explained with respect to a single user device, for example
the user device 105, and a single bot server, for example the bot server 115, respectively.
However, it should be noted that the present disclosure can be similarly applied to multiple
user devices and bot servers. Herein, the ‘bot server’ 115 refers to a server that provides bots
6
for solving one or more problems or respond to queries of the user of the user device 105. A
bot refers to an automated application that interacts with the user through the user device 105.
[0022] The user device 105 communicates with the bot server 115 through the network 110.
Examples of the user device 105 include, but are not limited to, a mobile phone, a computer, a
tablet, a laptop, a palmtop, a handheld device, a telecommunication device, a personal digital
assistant (PDA), and the like. Examples of the network 110 include, but are not limited to, a
mobile communication network, a Local Area Network (LAN), a Wireless Local Area Network
(WLAN), a Wide Area Network (WAN), internet, a Small Area Network (SAN), and the like.
[0023] The user device 105 comprises one or more installed applications configured to
deliver the plurality of services to the user. The mobile application can come preloaded on the
user device 105 as well as can be downloaded by users from app stores or the Internet. In one
example embodiment, the user can find mobile apps on both feature phones and smartphones.
For example, the most popular smartphone platforms that support mobile apps today
are Android, iOS, Windows Phone and the like. The user can also download the mobile apps
from third party marketplace. Examples of mobile applications include, but are not limited to
mobile apps related to games, music, Instant messenger (IM), mobile apps for several ecommerce
services or combinations thereof.
[0024] The bot server 115 is communicatively coupled to the user device 105. The bot
server 115 comprises a processor with a memory, wherein the memory stores a plurality of
modules to be executed by the processor. The plurality of modules (as shown in detail in FIG.2)
are configured to receive one or more queries or input from the user of the user device 115.
The bot sever 115 is configured to integrate one or more bots with the installed application on
the user device 115 to provide the user with a personalized experience.
[0025] The bot server 115 is configured to select one or more bots to integrate the bots with
the installed application on the user device 105. In one embodiment, the bot sever 115 is
configured to automate the integration of one or more of bots based upon self-learning
mechanism. In one embodiment, the integration of one or more bots with the installed
application on the user device 105 generates one or more recommendations associated with the
plurality of services of the installed application.
[0026] The bot server 115 is configured to facilitate the delivery of plurality of services of
the installed application to the user by invoking the integrated bots. In one example
7
embodiment, the bot server 115 invokes the integrated bots by enabling an interaction feature
and activating self-learning mechanism of bots. The self-learning mechanism enables the
integrated bots to learn the user, based on the received queries and further analysing the user
at every instant the user uses the installed application. In one embodiment, the interaction
feature facilitates the bots to communicate with the user to provide recommendations
associated with the plurality of services of the installed application.
[0027] In another, embodiment, the bot server 115 facilitates the user to login to, for
example, a mobile application on the user device 105. The bot server 115 receives one or more
queries or inputs from the user via the user device 105. The bot server 115 selects one or more
bots based on the one or more queries or inputs. The bot server 115 further manages the one or
more bots to interact with the user on the user device 105 and respond to the one or more
queries or inputs.
[0028] In one example embodiment, the bot server 115 is used for providing personalized
learning to the user. For instance, the user can install a learning application on the user device
105. On selecting the learning application, the user is presented with a screen including one or
more icons and one or more buttons. The user can click a button to start using the learning
application. The user can be presented with the dashboard on accessing the learning
application. The dashboard is personalized for the user and allows the user to enter one or more
queries or inputs. Based on the one or more queries or inputs entered by the user, the bot server
115 selects the one or more bots. The bot server 115 is then configured to integrate one or more
selected bots with the learning application to provide a personalized experience to the user. The
one or more bots further interact with the user of the user device 105. For instance, the bots can
provide feedback, revisions, quizzes, and the like. Examples of the one or more bots include,
but are not limited to, a feedback bot, a revision bot, a quiz bot, a motivation bot, and the like.
The user can further select and view popular bots as well as enabled or disabled bots in a bot
store.
[0029] In another example embodiment, the bot server 115 is used for providing messaging
services to the user. For instance, the user can install an instant messaging application on the
user device 105. On selecting the instant messaging application, the user is presented with a
screen including one or more icons and one or more buttons. The user can click a button to
start using the instant messaging application. The user can be presented with an instant
messaging interface on accessing the instant messaging application. The instant messaging
8
interface is personalized for the user and allows the user to write and send instant messages,
view messages of contacts, and the like. Based on one or more inputs or messages entered by
the user, the bot server 115 selects the one or more bots. The one or more bots further interact
with the user of the user device 105. For instance, the bots can provide emoticons, message
templates, dictionary, and the like. Examples of the one or more bots include, but are not limited
to, an emoticon bot, a message template bot, a dictionary bot, and the like. The user can further
select and view popular bots as well as enabled or disabled bots in the bot store.
[0030] In yet another example embodiment, the bot server 115 is used for providing
shopping services to the user. For instance, the user can install a grocery shopping application
on the user device 105. On selecting the grocery shopping application, the user is presented
with a screen including one or more icons and one or more buttons. The user can click a button
to start using the grocery shopping application. The user can be presented with a grocery
shopping interface on accessing the grocery shopping application. The grocery shopping
interface is personalized for the user and allows the user to select products, view product
information, buy the products, and the like. Based on one or more inputs or user selections
provided by the user, the bot server 115 selects the one or more bots. The one or more bots
further interact with the user of the user device 105. For instance, the bots can provide
frequently bought products, offers, new products, and the like. The user can further select and
view popular bots as well as enabled or disabled bots in the bot store.
[0031] The above example embodiments are in accordance with a learning application, an
instant messaging application, and a grocery shopping application. However, it should be
apparent to a person skilled in the art that similar example representations can be applied for
other mobile applications, and the present disclosure is not limited to the learning application,
the instant messaging application, and the grocery shopping application. An example
representation of the bot server 115 is explained with reference to FIG. 2.
[0032] FIG. 2 is a block diagram representation of a bot server 200, according to an
embodiment of the present disclosure. The bot server 200 is communicatively coupled to the
user device (of FIG. 1). The bot server 200 comprises a processor with a memory. The memory
stores a plurality of modules to be executed by the processor. Referring now to FIG. 2, the bot
server 200 includes an input module 205, a bot selection module 210, a bot management
module 215, and a database 220. The input module 205 is coupled to the bot selection module
210. The bot selection module 210 is further coupled to the bot management module 215. Each
9
of the input module 205, the bot selection module 210, and the bot management module 215
can be coupled to the database 220.
[0033] The input module 205 receives one or more queries or inputs from the user through
the user device 105. The input module 205 transfers the one or more queries or inputs to the
bot selection module 210. The bot selection module 210 checks the queries or inputs and selects
one or more bots based on the one or more queries or inputs. In one embodiment, the input
module also receives the data obtained by the bots by the self-learning mechanism. The selflearning
mechanism enables the integrated bots to learn the user, based on the received queries
and further analysing the user at every instant the user uses the installed application. In some
embodiments, a bot from the one or more bots can directly receive a query or input from the
user through the user device 105.
[0034] In some embodiments, the bot selection module 210 checks the queries or inputs and
determines availability of corresponding bots from the database 220. The bots can subsequently
be accessed from the database 220.
[0035] The bot management module 215 manages the one or more bots to interact with the
user on the user device 105. In one embodiment, the bot management module 215 integrates
one or more bots with the installed application on the user device, based on the one or more
queries or the input, to provide the user with a personalized experience. The integration of one
or more bots with the installed application on the user device, generates one or more
recommendations associated with the plurality of services of the installed application. In one
embodiment, the bot management module 215 is configured to automate the integration of one
or more of bots based upon self-learning mechanism. The bot management module 215 is
configured to facilitate the delivery of plurality of services of the installed application to the
user by invoking the integrated bots. In one example embodiment, the bot management module
215 invokes the integrated bots by enabling an interaction feature and activating self-learning
mechanism of bots. The self-learning mechanism enables the integrated bots to learn the user,
based on the received queries and further analysing the user at every instant the user uses the
installed application. In one embodiment, the interaction feature facilitates the bots to
communicate with the user to provide recommendations associated with the plurality of
services of the installed application.
[0036] The bot management module 215 allows the bots to respond to the one or more
10
queries or inputs. In one embodiment, the bot management module 215 is responsible for
personalization of one or more personalized apps. The personalization can be brought into the
interaction itself. For instance, the bot management module 215 is configured to remember
user profiles, previous interactions, the interactions of other users in the system, the current
context and the environmental know-how?
[0037] The bot server comprises database 220 configured to store one or more queries or
input provided by the user, self-learned data by bots, and plurality of bots. An example method
for providing personalized solutions using bots is explained with reference to FIG. 3.
[0038] FIG. 3 illustrates an example flow diagram of a method 300 for providing
a personalized experience to a user for a plurality of services offered by one or more installed
applications (Apps) on the user device, according to an embodiment of the present disclosure.
FIG. 3 may be described from the perspective of a processor that is configured to execute
computer-readable instructions to carry out the functionalities of the above described modules
of the bot server 200 shown in FIG. 2. In particular, the steps as described in FIG. 3 may be
executed for providing a personalized experience to a user for a plurality of services offered by
one or more installed applications (Apps) on the user device, by integration of bots into the
installed application (app). Each step is described in further detail below.
[0039] At step 305, the method 300 includes receiving one or more queries or inputs from
the user through the user device. The one or more queries or inputs are received by a bot server,
for example an input module 205 of the bot server 115 of FIG. 2. The one or more queries or
inputs are provided by the user through, for example a mobile application on the user device.
In one example, the one or more queries or inputs are stored in a database, for example the
database 220 of FIG. 2. Some example embodiments of receiving the one or more queries or
inputs is already explained with reference to FIG. 1 and hence is not explained herein for sake
of brevity.
[0040] At step 310, the method 300 includes selecting one or more bots based on the one or
more queries or inputs. The bots can be selected by a bot selection module in the bot server,
for example the bot selection module 210 of the bot server 115 of FIG. 2. The one or more
queries or inputs are first checked by the bot selection module. In one example, if
corresponding bots are available in a database, for example the database 220 of FIG. 2, the bot
selection module can select the corresponding bots for presenting to the user.
11
[0041] At step 315, the method 300 includes managing the one or more bots to interact with
the user on the user device. The bots are managed by a bot management module, for example
the bot management module 215 of the bot server 115 of FIG. 2. The bot management module
215 manages the one or more bots to interact with the user on the user device 105. In one
embodiment, the bot management module 215 integrates one or more bots (selected at step
310) with the installed application on the user device, based on the one or more queries or the
input, to provide the user with a personalized experience. The integration of one or more bots
with the installed application on the user device, generates one or more recommendations
associated with the plurality of services of the installed application.
[0042] In one embodiment, the bot management module 215 is configured to automate the
integration of one or more of bots based upon self-learning mechanism. The bot management
module 215 is configured to facilitate the delivery of plurality of services of the installed
application to the user by invoking the integrated bots. In one example embodiment, the bot
management module 215 invokes the integrated bots by enabling an interaction feature and
activating self-learning mechanism of bots. The self-learning mechanism enables the integrated
bots to learn the user, based on the received queries and further analysing the user at every
instant the user uses the installed application. In one embodiment, the interaction feature
facilitates the bots to communicate with the user to provide recommendations associated with
the plurality of services of the installed application.
[0043] Referring to FIG. 4, illustrates a block diagram of an electronic device 400, which
is representative of a hardware environment for practicing the present invention. The electronic
device 400 can include a set of instructions that can be executed to cause the electronic device
400 to perform any one or more of the methods disclosed. The electronic device 400 can
operate as a standalone device or can be connected, for example using a network, to other
electronic devices or peripheral devices.
[0044] In a networked deployment of the present invention, the electronic device 400 may
operate in the capacity of a user device, for example the user device 105 of FIG. 1, and a bot
server, for example the bot server 115 of FIG. 1, in a server-client user network environment,
or as a peer electronic device in a peer-to-peer (or distributed) network environment. The
electronic device 400 can also be implemented as or incorporated into various devices, such as
a personal computer (PC), a tablet PC, a personal digital assistant (PDA), a mobile device, a
palmtop computer, a laptop computer, a desktop computer, a communications device, a
12
wireless telephone, a land-line telephone, a control system, a camera, a scanner, a facsimile
machine, a printer, a pager, a personal trusted device, a web appliance, a network router, switch
or bridge, or any other machine capable of executing a set of instructions (sequential or
otherwise) that specify actions to be taken by that machine. Further, while a single electronic
device 400 is illustrated, the term "device" shall also be taken to include any collection of
systems or sub-systems that individually or jointly execute a set, or multiple sets, of instructions
to perform one or more computer functions.
[0045] The electronic device 400 can include a processor 405, for example a central
processing unit (CPU), a graphics processing unit (GPU), or both. The processor 405 can be a
component in a variety of systems. For example, the processor 405 can be part of a standard
personal computer or a workstation. The processor 405 can be one or more general processors,
digital signal processors, application specific integrated circuits, field programmable gate
arrays, servers, networks, digital circuits, analog circuits, combinations thereof, or other now
known or later developed devices for analysing and processing data. The processor 405 can
implement a software program, such as code generated manually (for example, programmed).
[0046] The electronic device 400 can include a memory 410, such as a memory 410 that
can communicate via a bus 415. The memory 410 can include a main memory, a static memory,
or a dynamic memory. The memory 410 can include, but is not limited to, computer readable
storage media such as various types of volatile and non-volatile storage media, including but
not limited to, random access memory, read-only memory, programmable read-only memory,
electrically programmable read-only memory, electrically erasable read-only memory, flash
memory, magnetic tape or disk, optical media and the like. In one example, the memory 410
includes a cache or random access memory for the processor 405. In alternative examples, the
memory 410 is separate from the processor 405, such as a cache memory of a processor, the
system memory, or other memory. The memory 410 can be an external storage device or
database for storing data. Examples include a hard drive, compact disc ("CD"), digital video
disc ("DVD"), memory card, memory stick, floppy disc, universal serial bus ("USB") memory
device, or any other device operative to store data. The memory 410 is operable to store
instructions executable by the processor 405. The functions, acts or tasks illustrated in the
figures or described can be performed by the programmed processor 405 executing the
instructions stored in the memory 410. The functions, acts or tasks are independent of the
particular type of instructions set, storage media, processor or processing strategy and can be
13
performed by software, hardware, integrated circuits, firm-ware, micro-code and the like,
operating alone or in combination. Likewise, processing strategies can include
multiprocessing, multitasking, parallel processing and the like.
[0047] As shown, the electronic device 400 can further include a display unit 420, for
example a liquid crystal display (LCD), an organic light emitting diode (OLED), a flat panel
display, a solid state display, a cathode ray tube (CRT), a projector, a printer or other now
known or later developed display device for outputting determined information. The display
420 can act as an interface for a user to see the functioning of the processor 405, or specifically
as an interface with the software stored in the memory 410 or in a drive unit 425.
[0048] Additionally, the electronic device 400 can include an input device 430 configured
to allow the user to interact with any of the components of the electronic device 400. The input
device 430 can include a stylus, a number pad, a keyboard, or a cursor control device, for
example a mouse, or a joystick, touch screen display, remote control or any other device
operative to interact with the electronic device 400.
[0049] The electronic device 400 can also include the drive unit 425. The drive unit 425 can
include a computer-readable medium 435 in which one or more sets of instructions 440, for
example software, can be embedded. Further, the instructions 440 can embody one or more of
the methods or logic as described. In a particular example, the instructions 440 can reside
completely, or at least partially, within the memory 410 or within the processor 405 during
execution by the electronic device 400. The memory 410 and the processor 405 can also include
computer-readable media as discussed above.
[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. 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, orders 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 necessarily need to be performed.
14
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.
Numerous variations, whether explicitly given in the specification or not, such as differences
in structure, dimension, and use of material, are possible. The scope of embodiments is at least
as broad as given by the following claims.
15
We claim:
1. A system for providing a personalized experience to a user for a plurality of services,
the system comprising:
a user device, wherein the user device comprises one or more installed applications
configured to deliver the plurality of services to the user; and
a bot server communicatively coupled to the user device, wherein the bot server
comprises a processor with a memory, wherein the memory stores a plurality of
modules to be executed by the processor, and wherein the plurality of modules are
configured to:
receive one or more queries or input from the user of the user device; and
integrate one or more bots with the installed application on the user device,
based on the one or more queries or the input, to provide the user with
the personalized experience.
2. The system as claimed in claim 1, wherein the integration of one or more bots with the
installed application on the user device, generates one or more recommendations
associated with the plurality of services of the installed application.
3. The system as claimed in claim 1, wherein the processor is configured to execute the
computer-readable instructions to facilitate delivery of plurality of services of the
installed application to the user by invoking the integrated bots.
4. The system as claimed in claim 3, wherein the processor is configured to execute the
computer-readable instructions to invoke the integrated bots by enabling an interaction
feature and activating self-learning mechanism.
5. The system as claimed in claim 4, wherein the self-learning mechanism enables the
integrated bots to learn the user, based on the received queries and further analysing the
user at every instant the user uses the installed application.
6. The system as claimed in claim 4, wherein the interaction feature facilitates the bots to
communicate with the user by providing the one or more recommendations associated
with the plurality of services of the installed application.
16
7. The system as claimed in claim 1, wherein the processor is configured to execute the
computer-readable instructions to select one or more bots to integrate the bots with the
installed application.
8. The system as claimed in claim 1, wherein the processor is configured to execute the
computer-readable instructions to facilitate automation of integration of one or more of
bots based upon self-learning mechanism.
9. The system as claimed in claim 1, wherein the bot server comprises a database
configured to store one or more queries or input provided by the user, self-learned data
by bots, and plurality of bots.
10. A method for automatically personalizing an application by integrating one or more
bots, the method comprising:
receiving one or more queries or input from a user of a user device;
integrating one or more bots with the application installed on the user device,
based on the one or more queries or the input;
generating one or more recommendations associated with a plurality of services
of the installed application; and
personalizing the application installed on the user device, by providing the one
or more recommendations associated with the plurality of services of the
installed application.
11. The method of claim 10, further comprising facilitating a delivery of plurality of
services of the installed application to the user by invoking the integrated bots.
12. The method of claim 11, further comprising invoking the integrated bots by enabling
an interaction feature and activating self-learning mechanism.
13. The method of claim 12, wherein the self-learning mechanism enables the integrated
bots to learn the user, based on the received queries and further analysing the user at
every instant the user uses the installed application, and wherein the interaction feature
17
facilitates the bots to communicate with the user by providing the one or more
recommendations associated with the plurality of services of the installed application.
14. The method of claim 10, further comprising selecting one or more bots for integrating
the bots with the installed application.
15. The method of claim 10, further comprising automatically integrating of one or more
of bots based upon self-learning mechanism.