DESC:Technical Field

The present disclosure relates generally to data processing. More specifically, the present disclosure relates to processing of data related to consumers of print media, such as newspapers.

Background

Newspaper publication companies, herein after referred to as newspaper companies, typically have a huge number of consumers. Keeping and maintaining the knowledgebase of this huge number of consumers is a cumbersome process for these newspaper companies. Currently newspaper companies do not have a database or understanding of their consumers/ readers and their family members. For example, a newspaper is delivered every day to a household consumer by a vendor who purchases the newspaper from a wholesaler. Therefore, for every newspaper company, the wholesaler becomes a primary consumer, the vendor becomes a secondary consumer, whereas the household consumer (who is the end user actually reading the newspaper) becomes a tertiary consumer. These layers of consumers across a country or worldwide, include numerous consumers that read a newspaper published by the newspaper company.

The newspaper company may also have many other products, such as supplement booklets, advertisements, journals, magazines, etc., that may be relevant to these consumers. However, it is undesirable for these newspaper companies to enclose all these other products along with every newspaper to reach all the consumers. Moreover, out of all these other products, not every additional product would be relevant for every consumer. Therefore, it is important for these newspaper companies to identify a target section of consumers for each of these other products.

Additionally, it is important for these newspaper companies to continuously monitor their reach amongst their consumers and constantly expand their horizons in reaching out to more and more consumers.
Summary

The present subject matter relates to methods and systems for processing consumer data of an entity. In accordance with an example implementation, one or more parameters associated with at least one of a predetermined first set of consumers from a first database and one or more predetermined items from a second database is received. The one or more predetermined items being associated with the entity.

When the received one or more parameters are associated with the first set of consumers, one or more items from the second database is determined with respect to the first set of consumers, which is based on the received one or more parameters. The consumers within the first set of consumers are not subscribed to the one or more items.

When the received one or more parameters is associated with the one or more predetermined items, a second set of consumers from the first database is determined with respect to the one or more predetermined items, which based on the received one or more parameters. The consumers within the second set of consumers are not subscribed to the one or more predetermined items.

Thereafter, a score is provided to each of the consumers from at least one of the first set of consumers and the second set of consumers against the determined one or more items and the one or more predetermined items, respectively. The determined one or more items along with the scores of the first set of consumers or the one or more predetermined items along with the scores of the second set of consumers is provided to a user of the system.

In accordance with an example implementation, the one or more items from the second database are determined by comparing one or more parameters of the one or more items with the corresponding one or more parameters of consumers in the first set of consumers.

In accordance with another example implementation, the second set of consumers from the first database is determined by comparing the one or more parameters of the one or more predetermined items with corresponding one or more parameters of the consumers in the first database.

In accordance with another example implementation, consumers from at least one of the first set of consumers and the second set of consumers are assigned to at least one person from an employee database. Details of interaction occurred between the at least one person and the consumers assigned to the at least one person with respect to one of the determined one or more items and the one or more predetermined items are stored in an evaluation unit. Further, performance of the at least one person based on successful and non-successful interaction details stored in the evaluation unit is evaluated.

Brief Description of the Drawings

The following drawings are referenced in the detailed description:

FIG. 1 illustrates a block diagram of an exemplary data processing system, in accordance with an example implementation of the present subject matter; and

FIG. 2 illustrates an exemplary method for processing consumer data, in accordance an example implementation of the present subject matter.

Detailed Description

In general, publication companies or agencies, for example, a newspaper publishing company or a magazine company, has to cater large consumer base. The consumer base may include consumers from multiple cities or one or more states or may be from one or more countries. With huge demographic consumer base, managing to serve the vast number of consumers is a challenge.

Items from a publication company are distributed to end consumers via primary and secondary consumers, i.e. wholesalers and vendors. In distribution chain the end consumer becomes a tertiary consumer. Due to primary and secondary consumers in middle of the distribution chain, there exists a disconnect between the end consumer and the publication company. Such disconnect limits the publication company from maintaining consumer data and accordingly restricts them from catering the needs of the consumers.

The present subject matter describes methods and systems for processing consumer data for an entity, for example, a publication company. The methods and systems facilitate maintaining of databases of consumers and items for distribution and determines consumers corresponding to the items or vice-versa to serve the consumers with relevant items.

In an example implementation, one or more parameters associated with a predetermined first set of consumers from a first database or a one or more predetermined items from a second database is received. Consumer data gathered from various sources are maintained in the first database, namely a consumer database. The consumer data may have associated parameters indicative of general, personal, or geographical information. Further, details of items, for example, magazines, newspaper, booklets, etc. are stored in the second database. Details of the items may also have associated parameters that are indicative of type or relevant consumers. The one or more predetermined items being associated with the entity. When the received one or more parameters is associated with the first set of consumers, one or more items from the second database with respect to the first set of consumers is determined, such that, the consumers within the first set of consumers are not subscribed to the one or more determined items. One or more parameters of the one or more items is compared with the corresponding one or more parameters of consumers in the first set of consumers.

when the received one or more parameters is associated with the one or more predetermined items, a second set of consumers from the first database with respect to the one or more predetermined items is determined, such that, the consumers within the second set of consumers are not subscribed to the one or more predetermined items. Where the one or more parameters of the one or more predetermined items is compared with corresponding one or more parameters of the consumers in the first database.

Further, a score to each of the consumers either within the first set of consumers or the second set of consumers is provided against the determined one or more items or the predetermined items, respectively. Accordingly, the determined one or more items along with the scores of the first set of consumers is displayed or the predetermined items along with the scores of the second set of consumers is displayed. Based on the displayed information, the consumers are served with relevant items.

In another example implementation, consumers from at least one of the first set of consumers and the second set of consumers with respect to the determined one or more items and the predetermined items, respectively are assigned to at least one person from an employee database. The person may be an employee, a vendor, or a distributor that may approach the assigned consumers to interact for promoting or for making subscription of the respective items for which the consumer is assigned to the person. Details of such interactions are stored and utilized to evaluate performance of the employees based on successful and non-successful interaction details.

With the methods and the systems of the present subject matter, the consumer data is utilized to efficiently identify the items for a particular section of consumers and to efficiently identify a particular set of consumers for a specific item. The methods and the systems of the present subject matter reduces the disconnect between the consumer and the publication companies. As a result, the consumers are served with more relevant items.

The following detailed description refers to embodiments of the present disclosure, examples of which are illustrated in the accompanying drawings. Wherever possible, the same reference numbers are used throughout the drawings to refer to the same or like parts. The terminology used in the description presented herein is not intended to be interpreted in any limited or restrictive manner, simply because it is being utilized in conjunction with a detailed description of certain specific embodiments of the invention. Furthermore, embodiments of the invention may include several novel features, no single one of which is solely responsible for its desirable attributes or which is essential to practicing the inventions herein described.

FIG. 1 illustrates a block diagram of an exemplary data processing system 100, in accordance with an example implementation of the present subject matter. The data processing system 100 processes consumer data for an entity such as a newspaper publication company, herein after referred to as newspaper company. The newspaper company may provide one or more products, such as a newspaper, supplement booklets, magazines, etc., to a number of consumers spread across one or more geographic areas, like cities, states, or countries. The newspaper company may also communicate with one or more advertisers to provide advertisements to the consumers.

The data processing system 100 depicted in FIG. 1 may be implemented in any suitable computing environment, such as, a desktop, a laptop computer, a computer server, or a mobile computing device, such as a mobile phone, a Personal Digital Assistant (PDA), or a smart phone. In addition, the data processing system 100 may be combined into fewer systems than shown or may be divided into more systems than shown. The communications links depicted in FIG. 1 may be through wired or wireless connections and may be part of a secured network, such as a local area network (LAN) and/or a combination of networks, such as LANs, WANs, MANs and/or the Internet.

According to an embodiment of the present disclosure, the data processing system 100 includes a consumer database 102, a product database 112, an advertisement database 114, a control system 116, a remote user interface 124, an employee database 126, and an evaluation unit 128.

The consumer database 102 stores consumer data. The consumer database 102 is configured to communicate with one or more data sources 104 to receive and store the data related to the consumers for the entity. The data sources 104 may include one or more online or offline forms, questionnaires, feedback forms, etc., that the consumers may fill. Alternatively, data may be collected by one or more third party vendors. Consumer data may include one or more parameters related to the households, vendors, wholesalers, etc. In an example, the household data may include, but not limited to, name, age, email ids, phone number, interests, reading habits, family members, etc., for every member in each household. In an embodiment of the present disclosure, the consumer database 102 may also include details of the entire consumer chain including the end consumers, the vendor, and the wholesaler of the product of the entity.

The consumer database 102 may include a subscriber database 106 configured to store data corresponding to the existing subscribers of one or more products of the newspaper company. Further, the consumer database 102 may include a non-subscriber database 108 for storing data related to potential consumers, which are not the existing subscribers of the products of the entity. The subscriber database 106 may receive subscriber information from online or offline subscriber forms, feedback forms, etc., filled by the existing subscribers of the newspaper company. The non-subscriber database 108 may receive data from offline or online surveys, conducted events, etc., filled or provided by the non-subscribers. In an exemplary embodiment, data stored in the consumer database 102 may be updated in a timely manner, such as every month, or every 6 months and/or once in a year.

Further, the consumer database 102 may also include a location database 110 configured to store geo-tagged location of every household and consumers. The geotags may be received from the data sources 104 in any known conventional manner. For example, at the time of consumer data collection, the location of the household may be tagged on a map interface, such as GOOGLE MAPS®. In an example implementation, the geo-tagging of the household may be done based on the address provided by the consumer to the data sources 104. Alternatively, when a third-party vendor or a sales employee of the newspaper company visits a household for data collection, he may detect the geographic location of the household on his computing device, such as mobile phone or laptop, etc.; tag it on the map and communicate the tagged location to the location database 110 via the network to be associated with the respective household and be stored therein.

The product database 112 is configured to store one or more products of the entity, for example, the newspaper company. For example, the product database 112 may store data related to one or more products of the entity, such as supplement booklets, magazines, newspapers, journals, etc., published by the newspaper company. The product database 112 may be configured to store a number of parameters associated with every product such as the product name, product type, relevant consumer sections, etc.

The advertisement database 114 is configured to store one or more advertisement products, or promotional products of a number of advertisers associated with the newspaper company. The advertisement database 114 may be configured to store one or more data associated with a number of advertisements and promotional products and schemes, etc. The data may include name of the advertiser, name of the product, relevant consumer section, age, gender, etc., of relevant consumer sections, etc.

It may be contemplated that the databases described herein may be internal and/or external databases and may include data repositories, or other data sources. In some embodiments, the databases may be implemented using a relational database, such as Sybase, Oracle, CodeBase, and Microsoft® SQL Server as well as other types of databases such as, for example, a flat file database, an entity-relationship database, and object-oriented database, a record-based database, or the like.

Referring to Fig. 1, the control system 116 is coupled to the consumer database 102, the product database 112, and the advertisement database 114. The control system 116 is configured to compare the one or more parameters associated with the household consumers stored in the consumer database 102 and one or more parameters associated with the product information stored in the product database 112 to identify one or more products relevant for at least one consumer who has not already subscribed for the identified one or more products. For example, if a subscriber A of a newspaper published by the newspaper company has listed a family member as a child of 5 years of age and one of the products of the newspaper company is a Kids’ magazine, then the control system 116 may identify the Kids’ magazine as relevant for the subscriber A.

Further, the control system 116 is configured to compare the one or more parameters associated with the product information stored in the product database 112 and the one or more parameters associated with the household consumers stored in the consumer database 102 to identify a set of consumers relevant for at least one product, where the consumer in identified set has not already subscribed for the identified for one or more products.

The control system 116 includes an Input / Output unit 118, hereinafter referred to as I/O unit 118, a processing unit 120, a memory 121, and a communication unit 122. The processing unit 120 may include a microprocessor connected to a communication bus (not shown). The memory 121 may be Random Access Memory (RAM) or Read Only Memory (ROM). The control system 116 further comprises a storage device, which may be a hard-disk drive or a removable storage drive, such as, a floppy-disk drive, optical-disk drive, and the like. The storage device may also be a means for loading computer programs or other instructions into the computer system.

The communication unit 122 allows the control system 116 to connect to the consumer database 102, the product database 112, the advertisement database 114 amongst other databases and the network through an input/output (I/O) interface, allowing the transfer as well as reception of data from these sources. The communication unit 122 may include a modem, an Ethernet card, or other similar devices, which enable the control system 116 to connect to databases and networks. The control system 116 facilitates input from a user through the Input / Output devices of the Input / Output unit 118 accessible to the control system 116 through the I/O interface.

The processing unit 120, though the communication unit 122, access the consumer database 102 to receive consumer information and access the product database 112 and advertisement database 114 to receive item information, where the item being a product for distribution or for promotion. When the processing unit 120 receives one or more parameters associated with a predetermined first set of consumers from a consumer database 100, the processing unit 120 accesses the product database 112 or the advertisement database 114 to determine one or more items either from the product database 112 or the advertisement database 114 with respect to the first set of consumers, such that, the consumers within the first set of consumers are not subscribed to the one or more determined items. The processing unit 120 compares one or more parameters of the one or more items is with the corresponding one or more parameters of consumers in the first set of consumers.

Further, when the processing unit 120 receives one or more parameters associated with a one or more predetermined items, the processing unit 120 determines a second set of consumers from the consumer database 102 with respect to the predetermined items, such that, the consumers within the second set of consumers are not subscribed to the predetermined items. The processing unit 120 compares one or more parameters of the predetermined items with corresponding one or more parameters of the consumers in the consumer database 102.

In order to process input data, the control system 116 executes a set of instructions that are stored in one or more storage elements. The storage elements may also hold data or other information, as desired. The storage element may be in the form of an information source or a physical memory element present in the processing machine.

One or more programmable or computer-readable instructions may include various commands that instruct the processing machine to perform specific tasks, such as steps that constitute the method of the disclosure. The control system 116 described can also be implemented using only software programming or using only hardware or by a varying combination of the two techniques. The disclosure is independent of the programming language and the operating system used in the computers. The instructions for the disclosure can be written in all programming languages including, but not limited to, ‘C’, ‘C++’, ‘Visual C++’ and ‘Visual Basic’. Further, the software may be in the form of a collection of separate programs, a program module containing a larger program or a portion of a program module, as discussed in the ongoing description. The software may also include modular programming in the form of object-oriented programming. The processing of input data by the processing machine may be in response to user commands, the results of previous processing, or from a request made by another processing machine. The disclosure can also be implemented in various operating systems and platforms including, but not limited to, ‘Unix’, ‘DOS’, ‘Android’, ‘Symbian’, and ‘Linux’.

The programmable instructions can be stored and transmitted on a computer-readable medium. The disclosure can also be embodied in a computer program product comprising a computer-readable medium, or with any product capable of implementing the above methods and systems, or the numerous possible variations thereof.

Furthermore, the processing unit 120 may be configured to score every consumer and/or the consumer household identified for a product or vice versa. Therefore, if an operator selects a product, for example, a women’s magazine published by the newspaper company, then the processing unit 120 may run a query on the consumer database 102 to identify all the consumers who might be relevant for selling the women’s magazine. Therefore, a subscriber B who has 3 women aged between a certain age group may be identified as a relevant consumer household who may be relevant for the women’s magazine. Similarly, if there are more than one consumer households identified relevant for the product, then every household consumer may be scored according to the relevancy. Therefore, for a women’s magazine, a household having 3 women may be scored better than a household having 2 women or 1 women.

In another example, for a desired group of consumers, relevant products may also be identified by the processing unit 120, such as by querying the products database 112. In such a scenario, for all the household consumers in a certain geographic location, having children, men and women of certain age groups, the relevant products may be identified, and the consumer are scored against those identified products according to relevancy.

In a further embodiment of the present disclosure, the processing unit 120 may be configured to identify one or more relevant advertisements and/or promotional schemes and products for a specific group of households and consumers. For example, for a group of female consumers and/or households having women, a sample sachet of cosmetic product manufactured by an advertiser may be identified as a relevant advertisement product.

The identified consumers, products and/or the advertisement may be communicated to the operator through an output device of the I/O unit 118. According to an example implementation, the input/output unit 118 may display the one or more items determined by the processing unit 120 along with the scores of the first set of consumers. The input/output unit 118 may display the predetermined items along with the scores of the second set of consumers. In another example implementation, the control system 116 may be configured to communicate the identified consumers, the products and/or the advertisements to a remote operator through a remote user interface 124 connected via the network. It may be contemplated that the remote user interface 124 may include user interface provided on any computer system, mobile device, etc.

The identified consumers may be provided with the relevant identified one or more of the product and/or the advertisement and/or the promotional scheme etc. For example, if a household consumer is an existing subscriber of a newspaper published by the newspaper company, and has a child aged between 5 to 10 years, then the identified relevant Kids’ magazine may be provided to that household consumer as a sample and/or a proposed subscription.

Similarly, for a household consumer having women aged between 25 to 55 years, then a free sample of cosmetic may be identified as relevant and be provided as a promotional product to the household consumer.
Alternatively, in case a household consumer is not an existing subscriber of any product of the newspaper company, then the newspaper itself may be identified as a relevant product to be provided to the household consumer as a proposed subscription from the newspaper company. Other products may also be identified to be provided to the household consumer as the proposed subscription from the newspaper company.

In an embodiment, the control system 116 may be further configured to communicate with an employee database 126 to receive data associated with the employees of the entity, such as the newspaper company. For example, the processing unit 120 may be configured to select one or more employees from the employee database 126 to provide or deliver the identified products and the advertisements to the corresponding relevant household consumers as a proposed subscription. Alternatively, the processing unit 120 may be configured to select one or more employees from the employee database 126 to provide or deliver one or more predetermined products and/or the advertisements to the corresponding relevant household consumers identified against the predetermined products and/or the advertisements. The selected one or more employees may extract the household consumer data from the consumer database 102 along with the geographic location of the corresponding households from the location database 110. Based on the extracted information, the selected employee may contact the corresponding household with the proposed subscription and interact with the consumer. The selected one or more employees may contact the identified households by means of physical visit to the household, or telephonic call with the household consumer, a video call with the household consumer or any other known methods.

Furthermore, the control system 116 may be configured to receive information associated with the identified proposed subscriptions offered by the entity. For example, the control system 116 may receive information related to whether the proposed subscription of the one or more identified products provided to the corresponding household consumers were successful or unsuccessful.

The control system 116 may further include an evaluation unit 128 configured to receive the successful and the unsuccessful proposed subscriptions and evaluate a performance of the employee based on the successful and unsuccessful proposed subscriptions associated with the employee. The evaluation unit 128 further includes a feedback database 130 configured to store the successful and the unsuccessful proposed subscription along with the reasons for the unsuccessful proposed subscription. The feedback database 130 may receive the reasons for unsuccessful proposed subscription based on the inputs provided by the employee through the remote user interface 128 or by the consumer through one or more surveys or feedback forms etc.

A person having ordinary skills in the art will appreciate that the system, modules, and sub-modules have been illustrated and explained to serve as examples and should not be considered limiting in any manner. It will be further appreciated that the variants of the above disclosed system elements, or modules and other features and functions, or alternatives thereof, may be combined to create other different systems or applications.

Those skilled in the art will appreciate that any of the aforementioned steps and/or system modules may be suitably replaced, reordered, or removed, and additional steps and/or system modules may be inserted, depending on the needs of a particular application. In addition, the systems of the aforementioned embodiments may be implemented using a wide variety of suitable processes and system modules and is not limited to any particular computer hardware, software, middleware, firmware, microcode, or the like.

The claims can encompass embodiments for hardware, software, or a combination thereof.

It will be appreciated that variants of the above disclosed, and other features and functions or alternatives thereof, may be combined into many other different systems or applications. Presently unforeseen or unanticipated alternatives, modifications, variations, or improvements therein may be subsequently made by those skilled in the art, which are also intended to be encompassed by the following claims.
Industrial Applicability

The present disclosure relates to a method and system for processing data related to consumers of an entity, such as a newspaper company.

FIG. 2 illustrates an exemplary method 200 for processing consumer data, in accordance an example implementation of the present subject matter. The method 200 is performed by the data processing system 100 of the present disclosure. At step 202, one or more parameters associated with a predetermined first set of consumers from the consumer database 102 or a one or more predetermined items from a product database 112 or an advertisement database 114 is received by the control system 116. In an example implementation, the predetermined first set of consumers from the consumer database 102 is received by the control system 116. Thereafter, the one or more parameters associated with the first set of consumers from the consumer database is retrieved by the control system 116.

The consumer database 102 communicates with one or more data sources to receive one or more parameters associated with the consumers of the newspaper company. Examples of the consumers may include, one or more of household consumers, vendors, wholesalers, existing subscribers, or non-subscribers of any one or more products of the newspaper company. The one or more parameters associated with the consumers may include, but not limited to, one or more name, age, interests, hobbies, email Ids, phone numbers, family members, and details of the family members, etc., in each household. In an exemplary embodiment, the consumer data may also include geo-tagged location of every household consumers. In an embodiment of the present disclosure, the consumer database 102 may also include details of the entire consumer chain including the end consumers, the vendor, and the wholesaler of the product of the entity.

At step 204, whether the received one or more parameters is associated with the predetermined first set of consumers is determined by the control system 116. If the received one or more is associated with the predetermined first set of consumers, then the method proceeds to step 206, otherwise proceeds to step 208.

At step 206, when the received one or more parameters is associated with the first set of consumers, one or more items from the product database 112 or the advertisement database 114 with respect to the first set of consumers is determined, which is based on the received one or more parameters. One or more parameters associated with the items of the entity are received by the control system 116. The items being products from the product database 112 or promotional products from advertisement database 114. For example, the product database 112 may store data related to one or more products of the entity, such as supplement booklets, magazines, newspapers, journals, etc., published by the newspaper company. The product database 112 may be configured to store a number of parameters associated with every product such as the product name, product type, relevant consumer sections, etc. The one or more parameters of the one or more items are compared with the corresponding one or more parameters of consumers in the first set of consumers by the control system 116. For example, if a subscriber A of a newspaper published by the newspaper company has listed a family member as a child of 5 years of age and one of the products of the newspaper company is a Kids’ magazine, then the control system 116 may identify the Kids’ magazine as relevant for the subscriber A.

In an exemplary embodiment, one or more advertisement products, or promotional products of a number of advertisers associated with the newspaper company. For example, the advertisement database 114 stores one or more advertisement products, or promotional products of a number of advertisers associated with the newspaper company. The advertisement database 114 may store one or more data associated with a number of advertisements and promotional products and schemes, etc. The data may further include name of the advertiser, name of the product, relevant consumer section, age, gender, etc., of relevant consumer sections, etc.

At step 208, whether the received one or more parameters is associated with the one or more predetermined items is determined by the control system 116. If the received one or more is associated with the one or more predetermined items, then the method proceeds to step 210, otherwise returns to step 202 and awaits to receive the one or more parameters.

At step 210, when the received one or more parameters is associated with the predetermined items, a second set of consumers from the consumer database 102 with respect to the predetermined items is determined, which is based on the received one or more parameters. For example, the control system 116 compares the one or more parameters associated with the consumers and the one or more parameters associated with the products to identify the one or more consumers relevant for at least one item, where the identified one or more consumers have not already subscribed for the preselected item.

At step 212, in case, one or more items is determined with respect to the first set of consumers, then a score is provided to each of the consumers in the first set of consumers against the determined one or more items by the control system 116. Further, in case, the second set of consumers is determined with respect to the predetermined items, then a score is provided to each of the consumers in the second set of consumers against the predetermined items by the control system 116.

In an example implementation, the processing unit 120 in the control system 116 may be configured to score every consumer and/or the consumer household identified for a product or vice versa. Therefore, if an operator selects a product, for example, a women’s magazine published by the newspaper company, then the processing unit 120 may run a query on the consumer database 102 to identify all the consumers who might be relevant for proposing a subscription of the women’s magazine. Therefore, a subscriber B who has 3 women aged between a certain age group may be identified as a relevant consumer household who may be relevant for the women’s magazine. Similarly, if there are more than one consumer households identified relevant for the product, then every household consumer may be scored according to the relevancy. Therefore, for a women’s magazine, a household having 3 women may be scored better than a household having 2 women or 1 women.
In another example, for a desired group of consumers, relevant products may also be identified by the processing unit 120, such as by querying the products database 112. In such a scenario, for all the household consumers in a certain geographic location, having children, men and women of certain age groups, the relevant products may be identified and scored according to relevancy.

In a further embodiment of the present disclosure, one or more relevant advertisements and/or promotional schemes and products may be identified for a specific group of households and consumers. For example, for a group of female consumers and/or households having women, a sample sachet of a cosmetic product manufactured by an advertiser may be identified as a relevant advertisement product.

At step 214, the identified products for proposed subscription and/or the advertisement may be communicated to the operator through an output device of the I/O unit 118 or through a remote user interface 124 connected to the control system 116 via the network. Therefore, when the received one or more parameters is associated with the predetermined items, the determined one or more items along with the scores of the first set of consumers is displayed. Further, when one or more items is determined with respect to the first set of consumers, the predetermined items along with the scores of the second set of consumers is displayed.

Subsequently, one or more employees of the newspaper company may be identified from the employee database 126 to provide or deliver the identified products and the advertisements to the corresponding relevant household consumers as the proposed subscription. The selected one or more employees may extract the household consumer data from the consumer database 102 along with the geographic location of the corresponding households from the location database 110. Based on the extracted information, the selected employee may contact the corresponding household with the proposed subscription. The selected one or more employees may contact the identified households by means of physical visit to the household, or telephonic call with the household consumer, a video call with the household consumer or any other known methods.
Furthermore, information associated with the identified proposed subscriptions offered by the entity may be received and stored in the feedback database 130. For example, the evaluation unit 128 receives the successful and the unsuccessful proposed subscriptions and evaluate a performance of the employee based on the successful and unsuccessful proposed subscriptions associated with the employee. The feedback database 130 may also store the reasons for unsuccessful proposed subscription based on the inputs received from the employee through the remote user interface 128 or from the consumers through online or offline forms or surveys or feedback forms etc., provided by the newspaper company.

The feedback database 130 may further include feedbacks from one or more consumers, group of consumers, etc., that are provided by the consumers on one or more products of the entity, such as the newspaper. For example, for a Women’s magazine, feedbacks from a number of women may be collected and stored in the feedback database 130 for storage. It may be contemplated that the group of consumers may also be selected by the control system 116 from the consumer database 102 based on the product being evaluated.

While aspects of the present disclosure have been particularly shown, and described with reference to the embodiments above, it will be understood by those skilled in the art that various additional embodiments may be contemplated by the modification of the disclosed machines, systems, and methods without departing from the spirit and scope of what is disclosed. Such embodiments should be understood to fall within the scope of the present disclosure as determined based upon the claims and any equivalents thereof.
,CLAIMS:1. A method for processing consumer data for an entity, the method comprising:
receiving, by a control system (116), one or more parameters associated with at least one of a predetermined first set of consumers from a first database (102) and one or more predetermined items from a second database (112, 114), the one or more predetermined items being associated with the entity;
when the received one or more parameters are associated with the first set of consumers, determining, by the control system (116), one or more items from the second database (112, 114) with respect to the first set of consumers based on the received one or more parameters;
when the received one or more parameters is associated with the one or more predetermined items, determining, by the control system (116), a second set of consumers from the first database (102) with respect to the one or more predetermined items based on the received one or more parameters;
providing, by the control system (116), a score to each of the consumers from at least one of the first set of consumers and the second set of consumers against the determined one or more items and the one or more predetermined items, respectively; and
displaying, through an output unit (118), at least one of:
the determined one or more items along with the scores of the first set of consumers and
the one or more predetermined items along with the scores of the second set of consumers.

2. The method as claimed in claim 1, wherein the determining one or more items from the second database (112, 114) comprises comparing one or more parameters of the one or more items with the corresponding one or more parameters of consumers in the first set of consumers.

3. The method as claimed in claim 1, wherein the determining second set of consumers from the first database (102) comprises comparing the one or more parameters of the one or more predetermined items with corresponding one or more parameters of the consumers in the first database (102).

4. The method as claimed in claim 1, wherein consumers within the first set of consumers are not subscribed to the one or more items determined by the control system (116).

5. The method as claimed in claim 1, wherein consumers within the second set of consumers are not subscribed to the one or more predetermined items.

6. The method as claimed in claim 1, wherein the method comprises:
assigning, by the control system (116), to at least one person from an employee database (126), consumers from at least one of the first set of consumers and the second set of consumers with respect to the determined one or more items and the one or more predetermined items, respectively;
storing, in an evaluation unit (128), details of interaction occurred between the at least one person and the consumers assigned to the at least one person with respect to one of the determined one or more items and the one or more predetermined items; and
evaluating, by the evaluation unit (128), a performance of the at least one person based on successful and non-successful interaction details stored in the evaluation unit (128).

7. A system (100) for processing consumer data for an entity, the system (100) comprises:
a control system (116) communicably coupled to a first database (102) and a second database (112, 114), wherein the control system (116) includes:
a processing unit (120) to:
receive one or more parameters associated with at least one of a predetermined first set of consumers from the first database (102) and a one or more predetermined items from the second database (112, 114), the one or more predetermined items being associated with the entity;
determining one or more items from the second database (112, 114) with respect to the first set of consumers based on the received one or more parameters when the received one or more parameter is associated with the first set of consumers;
determine a second set of consumers from the first database (102) with respect to the one or more predetermined items based on the received one or more parameters when the received one or more parameters is associated with the one or more predetermined items; and
provide a score to each of the consumers from at least one of the first set of consumers and the second set of consumers against the determined one or more items and the one or more predetermined items, respectively; and
an input/output unit (118) to display at least one of:
the determined one or more items along with the scores of the first set of consumers, and
the one or more predetermined items along with the scores of the second set of consumers.

8. The system (100) as claimed in claim 7, wherein the processing unit (120) compares one or more parameters of the one or more items determined from the second database (112, 114) with the corresponding one or more parameters of consumers in the first set of consumers, and wherein consumers within the first set of consumers are not subscribed to the one or more items determined from the second database (112, 114).

9. The system (100) as claimed in claim 7, wherein the processing unit (120) compares the one or more parameters of the one or more predetermined items with corresponding one or more parameters of the consumers in the first database (102), and wherein consumers within the second set of consumers are not subscribed to the one or more predetermined items.

10. The system (100) as claimed in claim 7, wherein the processing unit (120) is to:
assign to at least one person from an employee database (126), coupled to the control system (116), consumers from at least one of the first set of consumers and the second set of consumers with respect to the determined one or more items and the one or more predetermined items, respectively;
store, in an evaluation unit (128), details of interaction occurred between the at least one person and the consumers assigned to the at least one person with respect to one of the determined one or more items and the one or more predetermined items, wherein the evaluation unit (128) is provided in the control system (116) and evaluate a performance of the at least one person based on successful and non-successful interaction details stored therein.