AU2021104517A4 - Automatic customer relationship management system using artificial intelligene based personalized advertisement and offerings - Google Patents

Automatic customer relationship management system using artificial intelligene based personalized advertisement and offerings Download PDF

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AU2021104517A4
AU2021104517A4 AU2021104517A AU2021104517A AU2021104517A4 AU 2021104517 A4 AU2021104517 A4 AU 2021104517A4 AU 2021104517 A AU2021104517 A AU 2021104517A AU 2021104517 A AU2021104517 A AU 2021104517A AU 2021104517 A4 AU2021104517 A4 AU 2021104517A4
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customer
crm
artificial intelligent
data
engine
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Deepshikha Agrawal Pushp
Mukesh Chansoriya
Diksha Dubey
Ashish Khare
Jyoti Mishra
Sanjay Payasi
Vivek Sharma
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Agrawal Pushp Deepshikha Ms
Dubey Diksha Ms
Khare Ashish Dr
Mishra Jyoti Ms
Sharma Vivek Dr
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Agrawal Pushp Deepshikha Ms
Chansoriya Mukesh Dr
Dubey Diksha Ms
Khare Ashish Dr
Mishra Jyoti Ms
Sharma Vivek Dr
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0251Targeted advertisements
    • G06Q30/0269Targeted advertisements based on user profile or attribute
    • G06Q30/0271Personalized advertisement

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Abstract

AUTOMATIC CUSTOMER RELATIONSHIP MANAGEMENT SYSTEM USING ARTIFICIAL INTELLIGENE BASED PERSONALIZED ADVERTISEMENT AND OFFERINGS ABSTRACT The present invention relates to a system and method for automatic customer relationship management system using artificial intelligence for providing personalized advertisements and offerings related to the product of a business organization. The objective of present invention is to solve the anomalies presented in the prior art techniques and using advanced technique for providing customized and personalized best offers and products available related to the user choice and searching history. The disclosure presents an automatic customer relationship management system which comprises a central server which is backed by two main components artificial intelligent CRM crawler and artificial intelligent CRM engine that are based on artificial intelligent models which are competent enough to learn themselves and provides an automatic and self-learned system for provide personalized offerings and advertisements to the customers. The proposed invention comprises a server storing the data related to the customers of a business organization. The said data is stored in the database storing data related to the customers like name, contact number, email-id, date of birth and other data related to the customers. The server involved in the present invention is artificial intelligence (Al) enabled server. The present invention discloses a computer implemented method for automatic CRM system for an organization for providing personalized advertisements and offerings, the method comprises: obtaining, by the artificial intelligent CRM crawler, the data related to the user choices using contact and email-id from company's website, telephone, live chat, direct mail, marketing materials and social networks; collecting and associating the gathered data to the corresponding customer on the central server; analyzing, by the artificial intelligent CRM engine, based on collected data and customer purchase history, user preferences and choices; determining, by the artificial intelligent CRM engine, offers available with the determined user preference and choice category based on data available on company's website and offers available on the server; posting, by the artificial intelligent CRM engine, best offers and product available in the determined user preferences through various channels like email, SMS, advertisement on to be browsed pages etc. 1 Database (102) Customer 1 Customer 2 server (103) Communication network (101) Customer n Al CRM Al CRM Crawler engine (104) (105) Figure 1: Block diagram of automatic Customer relationship management system 1

Description

Database (102)
Customer 1
Customer 2
server (103) Communication network (101)
Customer n
Al CRM Al CRM Crawler engine (104) (105)
Figure 1: Block diagram of automatic Customer relationship management system
AUTOMATIC CUSTOMER RELATIONSHIP MANAGEMENT SYSTEM USING ARTIFICIAL INTELLIGENE BASED PERSONALIZED ADVERTISEMENT AND OFFERINGS FIELD OF INVENTION
[0001] The present invention relates to the technical field of customer relationship management system in an organization. The field of the invention is to provide a customer relationship management system by providing personalized advertisement and offerings to the customers by an organization automatically.
[0002] More particularly, this present invention relates to the field of automatic customer relationship management system in an organization using artificial intelligence-based models for providing personalized advertisements and offerings to the customers for building strong relationships.
BACKGROUND & PRIOR ART
[0003] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in-and-of themselves may also be inventions.
[0004] customer relationship management of an organization is one of the most important tasks and requisite to grow a business. Customer relationship management is a technology to manage the organizations relationships and interactions with customers/buyers and potential customers. The motive or objective of the customer relationship management system is to improve business relationships. A customer relationship management system aids the organization stay connected with the customers, streamline the business process and improve business profitability. Customer relationship management is the combination of planning, practices and technology that an organization uses to manage and analyze customer interaction and data throughout the customer lifecycle. In the old times, the functions of customer relationship management are performed manually while with the advent of the technology, the customer relationship management has been replaced by customer relationship management system. The use of customer relationship management system will benefit organization to grow from small business to large business.
[0005] Now, with the advancement in technology, customer relationship management system is also evolved while using technology. Customer relationship management system include managing contacts of the customer and compilation of huge amount of data. Customer relationship management system compiles customer data from different channels or point of contact between customer and company which may include the company's website, telephone, live chat, direct mail, marketing materials and social networks. Customer relationship management systems can also give customer-facing staff members detailed information on customers' personal information, purchase history, buying preferences and concerns. Hence, customer relationship management system involves acquiring, compilation and storing of company's customers preferences and choices. Further, the Collection of and access to customer data can help businesses identify trends and insights about their customers through reporting and visualization features. Today the world is moving towards automation with the help of the technology. Further, one of the most advanced and efficient tools of automation is artificial intelligent technique.
[0006] Artificial intelligence is an intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals. As the use of artificial intelligent models are increasing in every field for improving the effectiveness and correctness of the work to be done. The artificial intelligent models are based on various models that makes the said system more competent and capable in the said field. Machines can work and act like a human if they have enough information. So, in artificial intelligent models, knowledge engineering plays a vital role. The relation between objects and properties are established to implement knowledge engineering.
[0007] Hence, the use of artificial intelligent makes any technology related system automated and more efficient. Automatic customer relationship management systems can make any business or organization makes their customers data and preferences more efficiently. The automatic customer relationship management system can also provide personalized advertisements and offering to the customers based on their preferences. Hence, there is a need of such a system that can automate the process and practices of customer relationship management systems to manage the business-related activities automatic. There is various prior art that aim to resolve the said issue which are discussed below:
[0008] W02007106493 A2 - A computer-based system, comprising: a client; an application system having a data source containing a plurality of pieces of information, one or more modules that access the database to pull pieces of information from the database based on a request from the client and display a user interface to the user containing the requested information, one or more controllers that control access by the client to the one or more modules and the data source and a class wherein each module further comprises a subclass of the class; and the application system further comprising an application programming interface portion that allows the integration of the application system with an application using a web service wherein the application extension further comprises one or more contextual menu items that are associated with the application system.
[0009] US8005700 B2 - A customer relationship management (CRM) system and method accessible via a network, the system comprises: a user interface that provides distributed access for customers and support providers to case information within the CRM system; a case management system for managing customer cases, wherein the case management system includes a system for assigning cases to different tiers within a support provider hierarchy; and a compliance tracking system that determines customer compliance and provides a compliance indicator on customer case management pages.
[0010] US20170228681 Al - A system and method for automatically managing and carrying out the process in which human shoppers may seek out, select and/or be matched with other human entities for any purpose. This aspect of the invention generally includes the overall management of the various steps of the process, and greater detail on carrying out some of the specific steps of the process, including scoring and ranking, and including inspection and verification by means of automated testing and interviewing.
[0011] US2015120374 Al - A method, system and computer program product for automating customer relationship management (CRM) tasks responsive to inbound and outbound messages. In an embodiment of the invention, a method of automating CRM tasks responsive to inbound and outbound messages is provided. The method includes determining a context for a message such as an e-mail, monitoring a set of manual operations performed by an end user in a CRM application subsequent to the determination of the context of the message, grouping the set of manual operations into an automated task for the CRM application, and storing a rule associating the automated task with the context. Thereafter, in response to detecting receipt of a new message, a context is matched for the new message to the rule and the automated task associated with the rule is triggered.
[0012] US2015066580 Al - A method, computer program product, and computer system for sharing, via a first computing device, customer relationship management opportunity data between a customer relationship management application and an instant messaging application, wherein the customer relationship management opportunity data is associated with an opportunity. At least a portion of the customer relationship management opportunity data is provided to an instant messaging application client executed by a second computing device, the instant messaging application client associated with the instant messaging application, wherein at least the portion of the customer relationship management opportunity data is provided for user access at the second computing device via the instant messaging application client.
[0013] US2004002893 Al - A method and apparatus for a method for customer relationship management is provided. The method entails gathering of customer information from various sources and entering same into a database. The data applied to a process matrix and sorted. An exit poll is administered and a balanced scorecard evaluation is applied. Dissatisfied customers are handled through various means and the information is fed back tin the customer relationship database.
[0014] US2001018691 Al - A customer support system uses information concerning device located at customer and supports the customer. A customer support center collects customer information using a communication line, and stores or transferring the information. Customer information systems connected with the customer support center via a communication line, use the information of the customer support center, and support the customer. The customer support center comprises a collector for collecting and distributing usage information and quality information of the device, and a memory storing the usage information and quality information of the device as it is or after modifying it. The customer information systems use the usage information and quality information of the device collected by the customer support center, and support the customers.
[0015] US9582806 B2 - A software-based customer relationship management system and method may include the hierarchical tagging system. A software application system, comprising: a computing device with memory and a processing unit; an application stored in the memory and having a plurality of lines of computer code wherein the plurality of lines of computer code are executed by the processing unit of the computing device to generate a user interface of the application; a database coupled to the computing device and storing a multiplicity of articles associated with the application; the application further comprising a hierarchical tagging component executing in the memory that stores in the database one or more tags arranged hierarchically in a tag hierarchy for an article amongst the articles wherein each article amongst the articles is tagged with a tag in the tag hierarchy and wherein the hierarchical tagging component performs a search for articles based on one or more selected tags in the tag hierarchy, the hierarchical tagging component further linking one of the tags of the tag hierarchy to a parent tag that refers to a collection of others of the tags of the tag hierarchy and monitoring a collection of the others of the tags without using a duplicate list of tags.
[0016] CN104318378 A - A customer relationship management system, and relates to a computer management system. The small enterprise customer relationship management system comprises a basic information maintenance module, a customer information maintenance module, a customer service module, an information inquiry module, a data management module and a system management module, which are arranged under a Brower/ Server network mode, data flows of all the above modules are defined through a data dictionary, corresponding database tables are established, a JDBC (Java database connectivity) bridge data drive program is adopted, and the corresponding database tables are connected with a database through a pure Java language mode. The small enterprise customer relationship management system adopts a one-to-one principle of customer relationships, improves customer relationship management ability of a company, covers the shortage that customer situations and requirements cannot be timely grasped or known, and resources are wasted in the prior art, improves competitiveness of an enterprise, prevents error and a larger amount of waste of manpower and material resources, and effectively saves management costs.
[0017] Hence, there are various prior art that aims to develop a customer relationship management system in various way. The objective of all these customer relationship management systems is to develop more efficient system with the use of the technology. The aim here to present this invention is to develop more advanced system with the current technology to make more efficient and automatic system. Further, attracting the customers by providing user preferable and personalized advertisement and offerings through various channels and browsing pages is one of the important aspects of the customer relationship model. Customers will be attracted more when they are provided with the more attractive offers and advertisements on the product for which they are looking for.
[0018] Besides this, there are various prior arts in the state of the art that claims to resolve the problem of providing customer relationship management system for an organization but the approach adopted for solving the same need to be further refined. Hence, there is a need to provide an automatic customer relationship management system for with the use of artificial intelligent model for providing user preferable and personalized advertisements and offerings to the customer. The aim of the present invention is to use artificial intelligent model that makes less intervention and involvement of the human resources. The use of artificial intelligence provides more advanced system for providing user preferable and personalized advertisement and offerings to the customer for maintaining strong customer relationship model in an organization.
[0019] Groupings of alternative elements or embodiments of the invention disclosed herein are not to be construed as limitations. Each group member can be referred to and claimed individually or in any combination with other members of the group or other elements found herein. One or more members of a group can be included in, or deleted from, a group for reasons of convenience and/or patentability. When any such inclusion or deletion occurs, the specification is herein deemed to contain the group as modified thus fulfilling the written description of all Markus groups used in the appended claims.
[0020] As used in the description herein and throughout the claims that follow, the meaning of "a," "an," and "the" includes plural reference unless the context clearly dictate otherwise. Also, as used in the description herein, the meaning of "in" includes "in" and "on" unless the context clearly dictates otherwise.
[0021] The recitation of ranges of values herein is merely intended to serve as a shorthand method of referring individually to each separate value falling within the range. Unless otherwise indicated herein, each individual value is incorporated into the specification as if it were individually recited herein. All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context.
[0022] The use of any and all examples, or exemplary language (e.g. "such as") provided with respect to certain embodiments herein is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention otherwise claimed. No language in the specification should be construed as indicating any non-claimed element essential to the practice of the invention.
[0023] The above information disclosed in this Background section is only for enhancement of understanding of the background of the invention and therefore it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art.
SUMMARY OF THE INVENTION
[0024] Before the present systems and methods, are described, it is to be understood that this application is not limited to the particular systems, and methodologies described, as there can be multiple possible embodiments which are not expressly illustrated in the present disclosure. It is also to be understood that the terminology used in the description is for the purpose of describing the particular versions or embodiments only and is not intended to limit the scope of the present application. This summary is provided to introduce concepts related to automatic customer relationship management system using artificial intelligent model and the concepts are further described below in the detailed description. This summary is not intended to identify essential features of the claimed subject matter nor is it intended for use in determining or limiting the scope of the claimed subject matter.
[0025] The present invention mainly solves the technical problems existing in the prior art. In response to these problems, the present invention discloses an automatic customer relationship management system using artificial intelligent model which extract user preferences based on various channels automatically using the contact and email information of the customer and automatically provides advertisement and offerings to the customers at various means which may be email, SMS, browsing pages advertisement spaces and others like. The given solution provides the complete and automatic customer relationship management system that efficiently stores and utilizes the customers profile/account, crawls through user purchase history, company's website, telephone, live chat, direct mail, marketing materials and social networks to collect user preferences and choices and provides personalized offerings and advertisement through various modes to attract customers and build strong customer relationship model. Here, the customer relationship management system is abbreviated as CRM system for ease of understanding. The proposed invention comprises artificial intelligent CRM crawler and artificial intelligent CRM engine that are based on artificial intelligent models which are competent enough to learn themselves and provides an automatic and self-learned system for provide personalized offerings and advertisements to the customers.
[0026] The proposed invention comprises a server storing the data related to the customers of a business organization. The said data is stored in the database storing data related to the customers like name, contact number, email-id, date of birth and other data related to the customers. The server involved in the present invention is artificial intelligence (Al) enabled server. The proposed invention comprised two component which are based on artificial intelligent model. The first one is artificial intelligent CFM crawler and the other one is artificial intelligent CRM engine. The artificial intelligent crawler uses the data stored in the databased related to the customer and uses their contact number and email-id to fetch/collect the data related to the user preferences and choices. The Al CRM crawler collect or fetch the said data from various channels which may be but not limited to the company's website, telephone, live chat, direct mail, marketing materials and social networks, users browsing history etc. The Artificial intelligent CRM crawler is intelligent enough to fetch only data relevant to the particular business organization from various channels related to the customer and potential customer to a business organization. The fetched/collected data is used by the Artificial intelligent CRM engine. The artificial intelligent CRM engine then analyzes the data collect and user purchase history and determines the user preferences and choices related to the products of the business organization. The artificial intelligent CRM engine based on the identified user preferences and choices determines the offers available in the category of identified preferences using the data available on the company's website and offers catalog available on the server. The identified offers based on the determined user preferences are posted/sent to the customer through various channels like advertisement on the to be browsed pages, SMS, email or any other form of advertisement. Thus, Al CRM engine is a machine learned component of the customer relationship management system and completely automate the process of increasing the customer base by providing personalized user preferences in the form of advertisements and offering. The artificial intelligent model used here is competent enough and completely automatic which automates the said process from starting to the end.
[0027] The present invention comprises a central server of the business organization which is based on the artificial intelligence model and backed by the database related to the customer profile, user purchase history, product catalogue and offerings. The artificial intelligent model is intelligent enough and is automatic machine learned using the data available on the central server. The artificial intelligent CRM crawler and artificial intelligent CRM engine may be implemented in the form of but not limited to hardware component, software modules, program modules, computer instructions or the like. The component of present CRM system i.e., Artificial intelligent CRM crawler and artificial intelligent CRM engine both resides on the central server of the business organization.
[0028] An aspect of the present disclosure relates to a computer implemented method for automatic CRM system for an organization for providing personalized advertisements and offerings, the method comprises: obtaining, by the artificial intelligent CRM crawler, the data related to the user choices using contact and email-id from company's website, telephone, live chat, direct mail, marketing materials and social networks; collecting and associating the gathered data to the corresponding customer on the central server; analyzing, by the artificial intelligent CRM engine, based on collected data and customer purchase history, user preferences and choices; determining, by the artificial intelligent CRM engine, offers available with the determined user preference and choice category based on data available on company's website and offers available on the server; posting, by the artificial intelligent CRM engine, best offers and product available in the determined user preferences through various channels like email, SMS, advertisement on to be browsed pages etc.
[0029] Another aspect of the present disclosure relates to a computer implemented system for automatic CRM for an organization for providing personalized advertisements and offerings, the method comprises: a central server; a database storing customer's profile, user purchase history and offers related to the products of the business organization; obtaining, by the artificial intelligent CRM crawler, the data related to the user choices using contact and email-id from company's website, telephone, live chat, direct mail, marketing materials and social networks; collecting and associating the gathered data to the corresponding customer on the central server; analyzing, by the artificial intelligent CRM engine, based on collected data and customer purchase history, user preferences and choices; determining, by the artificial intelligent CRM engine, offers available with the determined user preference and choice category based on data available on company's website and offers available on the server; posting, by the artificial intelligent CRM engine, best offers and product available in the determined user preferences through various channels like email, SMS, advertisement on to be browsed pages etc.
[0030] This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
OBJECTIVE OF THE INVENTION
[0031] A primary object of the present invention is to provide a method for automatic customer relationship management system using artificial intelligence for providing personalized advertisement and offerings related to the business of the organization.
[0032] Yet another object of the present invention is to provide a system for automatic CRM system using artificial intelligence for providing personalized advertisement and offerings related to the business of the organization. The said system provides complete and automatic CRM system for an organization related to the customer and potential customers.
BRIEF DESCRIPTION OF DRAWINGS
[0033] To clarify various aspects of some example embodiments of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. It is appreciated that these drawings depict only illustrated 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 through the use of the accompanying drawings.
[0034] 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 the embodiments belong. Although methods and materials similar or equivalent to those described herein can be used in the practice or testing, suitable methods and materials are described below. In case of conflict, the patent specification, including definitions, will control. In addition, the materials, methods, and examples are illustrative only and not intended to be limiting.
[0035] In order that the advantages of the present invention will be easily understood, a detail description of the invention is discussed below in conjunction with the appended drawings, which, however, should not be considered to limit the scope of the invention to the accompanying drawings, in which:
[0036] Figure 1 shows block-diagram of the automatic Customer relationship management system incorporating all the embodiment of the system of the present invention.
[0037] Figure 2 shows a flow-diagram of computer implemented method for automatic Customer relationship management system using artificial intelligence for proving personalized advertisements and offerings in accordance with the present invention.
DETAIL DESCRIPTION
[0038] The present invention relates to a computer implemented method for automatic customer relationship management system using artificial intelligence for providing personalized advertisements and offerings for building strong customer base and increasing sales of the product related to the business of an organization.
[0039] Although the present disclosure has been described with the purpose of automatic customer relationship management system using artificial intelligence, it should be appreciated that the same has been done merely to illustrate the invention in an exemplary manner and to highlight any other purpose or function for which explained structures or configurations could be used and is covered within the scope of the present disclosure.
[0040] Some embodiments of this disclosure, illustrating all its features, will now be discussed in detail. The words and other forms thereof are intended to be open ended in that an item or items following any one of these words is not meant to be an exhaustive listing of such item or items, or meant to be limited to only the listed item or items. It must also be noted that as used herein and in the appended claims, the singular forms "a," "an," and "the" include plural references unless the context clearly dictates otherwise. Although any systems and methods similar or equivalent to those described herein can be used in the practice or testing of embodiments of the present disclosure, the exemplary systems and methods are now described. The disclosed embodiments are merely exemplary of the disclosure, which may be embodied in various forms.
[0041] Various modifications to the embodiment will be readily apparent to those skilled in the art and the generic principles herein may be applied to other embodiments. However, one of ordinary skill in the art will readily recognize that the present disclosure is not intended to be limited to the embodiments illustrated, but is to be accorded the widest scope consistent with the principles and features described herein.
[0042] Figure 1 show a block-diagram of the automatic customer relationship management system for providing personalized advertisements and offerings as per the embodiments of the present invention. According to the present invention, the said system comprises a central server (103) having the computation facility wherein the central server is equipped with artificial intelligence model. The server machine (103) is backed with the database (102) comprising of data related to the customer's profile, user purchase history and ongoing offers related to the products of the business of an organization. The communication network (101) is responsible for transmitting and receiving various data across various embodiments of the present invention. The communication network involved in the present invention may be but not limited to Wide area Network (WAN), local area Network (LAN), WiFi, Bluetooth or the combination thereof. Further, there are n number of customer or consumer associated with the business of an organization. The customer or consumer related to the business of an organization are past customers of the company, potential customer etc. The central server is equipped with two major component which makes the said system automatic and artificial intelligent. The artificial intelligent CRM crawler (104) which is responsible for collecting/gathering and storing/associating the data related to the customers using various channels which may be but not limited to company's website, telephone, live chat, direct mail, marketing materials and social networks. Further, the second component, artificial intelligent CRM engine further analyzes the collected data related to a customer and customer purchase history to determine the user preferences and choices. The said engine is competent enough to analyze and determine the user's choice and selection habit of the consumer. The said engine then determines the offers related to the identified user preference product and the offers running on the identified product and the said offers are posted to the consumer through various channels like email, SMS and advertisements on the browsed pages and the like.
[0043] Figure 2 shows the flow-diagram of computer implemented method for automatic customer relationship management system using artificial intelligent model for providing customized advertisements and offerings. The computer implemented method first obtain, by the artificial intelligent crawler (104) data related to customer using contact and email id from various channels at step 201. The various channels as mentioned above are company's website, telephone, live chat, direct mail, marketing materials and social networks. The artificial intelligent crawler then collects and associate the gathered data to the corresponding customer on the central server at step 202. The collected data is sent to server using communication network. The artificial intelligent CRM engine then analyzes, based on collected data and customer purchase history, user preferences and choices at step 203. The artificial intelligent CRM engine then determines the products and offers available related to the identified user preferences and choices at step 204. The artificial intelligent CRM engine posts, best offers and product available in the determined user preferences through various channels at step 205. The channels to deliver the best products and offers available related to the user preferences and choice through SMS, email or advertisement on the browsing web pages.
[0044] 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.
[0045] Although implementations for invention have been described in a language specific to structural features and/or methods, it is to be understood that the appended claims are not necessarily limited to the specific features or methods described. Rather, the specific features and methods are disclosed as examples of implementations for the invention.

Claims (5)

CLAIMS We claim:
1. A computer implemented method for automatic customer relationship management system using artificial intelligence for providing personalized advertisements and offerings related to the products of a business, the computer implemented method comprising steps of: obtaining, by the artificial intelligent CRM crawler, the data related to the user choices (201); collecting and associating, by the artificial intelligent CRM crawler, the gathered data to the corresponding customer on the central server (202); analyzing, by the artificial intelligent CRM engine, based on collected data and customer purchase history, user preferences and choices (203); determining, by the artificial intelligent CRM engine, offers available with the determined user preference and choice category based on data available on company's website and offers available on the server (204); posting, by the artificial intelligent CRM engine, best offers and product available in the determined user preferences through various channels like email, SMS, advertisement on the browsing pages (205).
2. The computer implemented method as claimed in claim 1, wherein the data is gathered from the sources like company's website, telephone, live chat, direct mail, marketing materials and social networks.
3. The computer implemented method as claimed in claim 1, wherein the communication network may be based on the WiFi, Bluetooth, Local Area Network, Wide Area Network or the combination thereof.
4. The computer implemented method as claimed in claim 1, wherein database comprises customer profile, user purchase history and offers and products related to the business of the organization.
5. A system for automatic customer relationship management system using artificial intelligence for providing personalized advertisements and offerings related to the products of a business, the system comprising: a communication network (101) to transmit/receive data from other embodiments of the system; database (102) to store data related to customer profile, user purchase history and offers and products related to the business of the organization; server (103) for performing function of artificial intelligence CRM crawler (104) and artificial intelligent CRM engine (105) for performing the steps of: obtaining, by the artificial intelligent CRM crawler, the data related to the user choices (201); collecting and associating, by the artificial intelligent CRM crawler, the gathered data to the corresponding customer on the central server (202); analyzing, by the artificial intelligent CRM engine, based on collected data and customer purchase history, user preferences and choices (203); determining, by the artificial intelligent CRM engine, offers available with the determined user preference and choice category based on data available on company's website and offers available on the server (204); posting, by the artificial intelligent CRM engine, best offers and product available in the determined user preferences through various channels like email, SMS, advertisement on the browsing pages (205).
Database (102)
Customer 1 2021104517
Customer 2
server (103) Communication network (101)
Customer n
AI CRM AI CRM Crawler engine (104) (105)
Figure 1: Block diagram of automatic Customer relationship management system
Obtaining data related to customer using contact and email id from various channels by AI CRM crawler (201)
collecting and associating the gathered data to the corresponding customer on the central server by AI CRM crawler (202)
analyzing, based on collected data and customer purchase history, user preferences and choices by AI CRM engine (203)
determining offers available related to the identified user preferences by AI CRM engine (204)
posting, best offers and product available in the determined user preferences through various channels by AI CRM engine (205)
Figure 2 – Flow-diagram of the method for automatic customer relationship management system
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