FORM 2
THE PATENTS ACT, 1970 (39 of 1970) & THE PATENTS RULES, 2003
COMPLETE SPECIFICATION
(See section 10, rule 13)
1. Title of the Invention: OPTIMIZATION OF RESOURCES
2. Appltcant(s)
NAME NATIONALITY ADDRESS
TATA CONSULTANCY Indian Nirmal Building, 9th Floor, Nariman Point, SERVICES LIMITED Mumbai MH 400021, India
3. Preamble to the description
COMPLETE SPECIFICATION
The following specification particularly describes the invention and the manner in which it is to be performed.

TECHNICAL FIELD
The present subject matter relates, in general, to resource development and, in particular, relates to optimization of resources.
BACKGROUND
Unemployment is a major cause of poverty in rural and semi-urban areas of a country. While literate individuals in semi-urban areas are not able to find an occupation to suit their education and skills, the individuals in rural areas are either illiterate or only semi-literate. Such individuals either tend to undertake a self-employed occupation or in certain cases migrate to urban areas in search of a suitable occupation for a fixed source of income. For example, in certain cases the individuals resort to agriculture for obtaining the income for sustenance; however, as a result of the high initial capital investment, slow return on investment, and high risk involved in agriculture, the individuals usually seek other alternatives for income.
As a result of migration of the individuals from the rural and semi-urban areas to urban areas, the pressure on resources of the urban areas increases. Moreover, such individuals find themselves at the bottom of the socio-economic pyramid, employed in low skilled work areas, such as domestic helps, labourers, and roadside vendors. Furthermore, the inherent skills of these individuals, such as artistic and creative abilities, aesthetic outlook, and skills that are integral to their culture and way of life are not identified and go untapped. Consequently, large amount of skilled human resource goes undeveloped and is not deployed purposefully.
In addition, as a result of the non-deployment of the human resources. considerable amount of infrastructural resources are either unused or under-used.
SUMMARY
The present subject matter relates to a system and a method for optimization of resources. In one implementation, the method includes providing a first questionnaire

pertaining to a first occupation set and determining at least one first occupation from the first occupation set based on a response to the first questionnaire. In said implementation, the first occupation involves deployment of a resource for a first period. Further, a second questionnaire is provided, subsequent to the first questionnaire, wherein the second questionnaire pertains to a second occupation set. Based on the response to the second questionnaire, at least one second occupation from the second occupation set is ascertained. In said implementation, the second occupation involves deployment of the resource for a second period.
This summary is provided to introduce concepts related to optimization of resources, which 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.
BRIEF DESCRIPTION OF DRAWINGS
The detailed description is described with reference to the accompanying
figure(s). In the figure(s), the left-most digit(s) of a reference number identifies the figure in
which the reference number first appears. The use of the same reference number in different
figure(s) indicates similar or identical items. The features, aspects and advantages of the
subject matter will be better understood with regard to the following description, and the
accompanying drawings.
Fig. 1 illustrates an exemplary network environment implementing an
optimization system for optimization of resources, in accordance with an implementation of
the present subject matter.
Fig. 2 illustrates an exemplary method for optimization of resources, in
accordance with an implementation of the present subject matter.
DETAILED DESCRIPTION
The present subject matter relates to methods and systems for optimization of resources. For example, the present subject matter relates to optimization of infrastructural

and human resources in terms of the development and deployment of the resources. Methods and systems related to optimization of the resources as described herein can be implemented in a variety of devices, such as a server, a desktop personal computer, a notebook or a portable computer, a mainframe computer, or a mobile computing device. According to an aspect, the present subject matter is implemented in a business environment by a business establishment for resource development and optimized deployment of such resources. The resources can include infrastructural resources and human resources.
In an implementation, an optimization system interacts with a plurality of individuals over a communication network, such as internet. In one example, the plurality of individuals can include individuals seeking employment. A business establishment can use the optimization system to provide a set of questionnaires to the interacting individuals. Further, the optimization system can send a request to each of the individuals for obtaining a reply to one or more questionnaires from the set of questionnaires. In an example, a first questionnaire from the set of questionnaires can relate to an occupation set and can include various questions, based on a first parameter set including ability and skill set of the individuals to be deployed in one of the occupations from among a first occupation set, creativity, artistic acumen, and the inclination to learn and adapt. In one example, the first occupation set can include animation, designing, hospitality, and interior designing. In an implementation, suitable individuals are deployed at the business establishment for a first period, for example, one year, and are then released for a second period. For example, the individuals can be deployed at the enterprise for 6 to 8 months in a year in an occupation from the first occupation set, such as animation and animated content generation, and can then be released from the occupation for rest of the months of the year. Based on the responses provided by the individuals to the first questionnaire, the optimization system selects the individuals for deployment in the business establishment. In an implementation, a score is determined for each individual based on the response to the first questionnaire provided by the individual. For example, in case the first occupation set includes animation, the score of an individual can be based on the first parameter set including creative skills and artistic acumen of the individual. Further, based on the score,

the occupation from the first occupation set, in which the individual can be deployed, is identified. The details of the respective occupation are sent to each of the selected individuals along with an offer of deployment. Further, based on an agreement of the individual in response to the offer of deployment, the individual is deployed at the business establishment for the first period. In an implementation, the individual may pass through a series of interviews before being employed and deployed in the identified occupation. In another implementation, the optimization system can identify more than one occupation from the first occupation set. In said implementation, the optimization system provides a choice of the occupations to the individual and the individual can select the occupation for deployment for the first period.
During the deployment of the individual in the first period, the individual can be trained in the occupation, deployed for work, and provided remuneration for the first period. In turn, the business establishment can capitalize on the increased productivity as a result of the deployment of the plurality of individuals. In one example, the remuneration provided to the deployed individuals is variable as compared to industry standards for remuneration of literate and trained individuals deployed in a similar occupation. As a result, the return on investment for the business establishment increases.
Further, in an implementation, at the end of the first period for which the individuals are deployed, the optimization system can suggest one or more second occupations from a second occupation set to each of the individuals. The second occupation set can include vocations that relate to the individuals' traditional background, such as agriculture, weaving, and fishing. Such occupations usually depend on external factors, such as climate and raw materials, and require infrastructure setup. In an implementation, the optimization system can use the profiling information obtained in the first questionnaire and suggest the second occupations to the deployed individual.
In another implementation, the optimization system can send a second questionnaire to the deployed individuals. The second questionnaire can include various questions relating to profile of the individuals. For example, the second questionnaire can be based on a second parameters set including the age group of the individuals, family structure and background, status of employment, type of unemployment, say seasonal unemployment

or disguised unemployment, status of land ownership, availability of infrastructure and requirement of infrastructure, preferable occupations, and cultural and traditional knowledge. Based on the response provided by the deployed individuals to the second questionnaire, the optimization system can identify and suggest one or more second occupations from a second occupation set for deployment for a second period in the same manner as described with reference to the first occupation set.
Further, based on the second occupation selected from the second occupation set by the individuals, the optimization system can provide inputs to the business establishment for facilitating the transition of the individuals from the first occupation to the second occupation. In an implementation, the optimization system can match the infrastructural resources available with the business establishment, which can be provided to the individuals. The optimization system can also provide the compensation that the business establishment can charge in return for the infrastructural resources. In turn, the individuals can re-invest the remuneration with the business establishment to obtain the infrastructural resources. Hence, on one hand, the deployed individuals can utilize the capital earned from the first occupation and invest in the second occupation to obtain long term returns, and on the other hand, the business establishment can enjoy an increase in revenue as a result of the deployment of the individuals in the first occupation and also enjoy profit margins by providing infrastructural resources to the deployed individuals during the second occupation. Further, in one example, the second occupation set can include those occupations which produce tradable commodities, such as products or services or both, for the existing lines of operation of the business enterprise. In said example, the individuals can interact with the business establishment, through the optimization system, and provide details of the output obtained as a result of the performance of the second occupation, and available for purchase for the business establishment. For example, the individuals can provide the products for sale and quote a price for sale of the products. The optimization system can analyze the products and indicate to the business establishment, based on the analysis of type of product and a quoted price. In one implementation, the optimization system may compare the quoted price of the products with a prevalent market price and send a return quote to the individuals.

At the end of the second period, for which the individuals are servicing in the second occupation, the optimization system may again request the individuals for deployment in the business establishment in their respective first occupations. In an implementation, the cycle of alternating between the first and second occupation may be allowed for a cycle period, for example, 3 years. In one example, after the exhaustion of the cycle period, the optimization system may, based on the amount of capital available with the individual, suggest one or more fields of operation, such as business lines, to venture into. In said example, the optimization system can provide training to the individuals in entrepreneurship. In another example, after the lapse of the second period, the optimization system can select certain or all individuals, based on performance-related parameters, and send request to join as trainers for upcoming batches of individuals for resourcing. Furthermore, based on the responses to the first questionnaire or the second questionnaire or based on the responses to both, the optimization system can suggest the fields of operation, which the business establishment can venture into. Hence, based on the skill set of the individuals, the optimization system may also suggest one or more new fields of operation for the business establishment.
The method and system for optimization of resource deployment and development brings commercial value to the business establishment and also adds to the economical and social value of the individuals. The methods and systems helps in creating and capitalizing on various opportunities for the individuals, especially rural and semi-urban individuals, and help in the development of the society as a whole.
It will be understood that the second questionnaire can be provided to the individuals along with the first questionnaire, for example, to obtain the details relating to the second parameter set, along with the details pertaining to the first parameter set. The systems and methods for optimizing resources, as described above, help in the preservation of traditional and cultural knowledge, mitigate under-utilization of human and infrastructural resources, and provide circulation of capital between the individuals and the business establishment, thus strengthening rural economies. Further, the individuals are provided deployment based on their skill set and traditional knowledge, which further facilitates in optimized deployment and development of human resources.

While aspects of described systems and methods for optimization of resources can be implemented in any number of different computing systems, environments, and/or configurations, the embodiments are described in the context of the following exemplary system architecture(s).
Fig. 1 illustrates an exemplary network environment 100 implementing an optimization system 102 for optimizing resources, according to an embodiment of the present subject matter. In said embodiment, the optimization system 102 is connected to and interacts with a plurality of user devices 104-1, 104-2 ...104-N, collectively referred to as the user devices 104 and individually referred to as a user device 104. In one example, the optimization system 102 can be implemented at a business enterprise seeking human resources for deployment. On the other hand, the user devices 104 can be implemented at a resourcing centre set-up by the business establishment. In one example, the user devices 104 are deployed in the resourcing centre in rural region.
The optimization system 102 and the user devices 104 may be implemented on any of a variety of conventional computing devices, including, for example, servers, a desktop PC, a notebook or portable computer, a workstation, a mainframe computer, a mobile computing device, an entertainment device, and an internet appliance. The optimization system 102 is connected to the user devices 104 over a network 106 through one or more communication links. The communication links between the optimization system 102 and the user devices 104 are enabled through a desired form of communication, for example, via dial-up modem connections, cable links, digital subscriber lines (DSL), wireless or satellite Jinks, or any other suitable form of communication. The network 106 may be a wireless network, a wired network, or a combination thereof. The network 106 can also be an individual network or a collection of many such individual networks, interconnected with each other and functioning as a single large network, e.g., the Internet or an intranet. The network 106 can be implemented as one of the different types of networks, such as intranet, local area network (LAN), wide area network (WAN), the internet, and such. The network 106 may either be a dedicated network or a shared network, which represents an association of the different types of networks that use a variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission

Control Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP), etc., to communicate with each other. Further, the network 106 may include network devices, such as network switches, hubs, routers, host bus adapters (HBAs), for providing a link between the optimization system 102 and the user devices 104. The network devices within the network 106 may interact with the optimization system 102 and the user devices 104 through the communication links.
In one implementation, the network environment 100 can be a company network, including thousands of office personal computers, laptops, various servers, such as blade servers, and other computing devices connected over the network 106. In another implementation, the network environment 100 can be the size of a home network, with a limited number of personal computers and laptops connected over the network 106. In one implementation, the optimization system 102 includes processor(s) 108 coupled to a memory 110. The optimization system 102 further includes interface(s) 112. for example, to facilitate communication with the user devices 104. The interface(s) 112 may include a variety of software and hardware interfaces, for example, interfaces for peripheral device(s), such as a keyboard, a mouse, an external memory, and a printer. Further, the interface(s) 112 enables the optimization system 102 to communicate with other devices, such as web servers and external repositories. The interface(s) 112 can also facilitate multiple communications within a wide variety of networks and protocol types, including wired networks, for example LAN, cable, etc., and wireless networks, such as WLAN, cellular, or satellite. For the purpose, the interface(s) 112 may include one or more ports. The processor(s) 108 may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, state machines, logic circuitries, and/or any devices that manipulate signals based on operational instructions. Among other capabilities, the processor(s) 108 are configured to fetch and execute computer-readable instructions stored in the memory 110.
The memory 110 may include a computer-readable medium known in the art including, for example, volatile memory, such as static random access memory (SRAM), dynamic random access memory (DRAM), etc., and/or non-volatile memory, such as erasable program read only memory (EPROM), and flash memory.

Further, the memory 110 includes module(s) 114 and data 116. The module(s) 114 include, for example, a questionnaire module 118, a resourcing module 120, and other module(s) 122. The other module(s) 122 may include programs or coded instructions that supplement applications or functions performed by the optimization system 102. The data 116 includes a questionnaire data 124, a resource data 126, and other data 128. The other data 128, amongst other things, may serve as a repository for storing data that is processed, received, or generated as a result of the execution of one or more modules in the module(s) 114. Although the data 116 is shown internal to the optimization system 102, it may be understood that the data 116 can reside in an external repository (not shown in the figure), which is coupled to the optimization system 102. The optimization system 102 may communicate with the external repository through the interface(s) 112 to obtain information from the data 116.
In operation, the optimization system 102 is configured to achieve optimization of development and deployment of resources, such as infrastructural resources and human resources. To achieve optimization of the resources, the optimization system 102 at the business establishment running various lines of operation in business and seeking to deploy human resources, interacts with the user devices 104 over the network 106. As mentioned earlier, in one example, individuals in the rural areas can, in turn, interact with the optimization system 102 through the user devices 104 and seek deployment. In an implementation, during such interactions, the questionnaire module 118 generates a first questionnaire and sends the first questionnaire to the individuals interacting with the optimization system 102 through the user devices 104.
In one implementation, the questionnaire module 118 can generate the first questionnaire to include objective and subjective questions pertaining to a first occupation set. In one example, the first occupation set includes various first occupations that employ creative and artistic skills of the individuals. In said example, the first occupations can include animation and animated content generation. According to said implementation, the first questionnaire can include questions based on a first parameter set including creativity, artistic skill, and logical acumen of the individuals. Further, the first parameter set can also include inherent traits of the individuals, such as adaptability, leadership skills, and the

inclination to learn. In another example, the first questionnaire can include questions pertaining to a single first occupation, for example, in case the business establishment is looking to deploy human resources in that occupation. The questionnaire module 118 can also send a request to the individuals at the user devices 104 for responding to the first questionnaire and providing personal information, such as contact details. Such personal information of the individuals can be stored in the resource data 126.
Further, the resourcing module 120 receives the responses to the first questionnaire from the various individuals at the user devices 104, and analyzes the responses. In an example, the resourcing module 120 can compare the responses with predefined parameters stored in the resource data 126 and compute a cumulative score for each of the individuals. In said example, the responses, the scores for the various responses, and scoring pattern can also be stored in the questionnaire data 124, based on which, the resourcing module 120 can compute the scores.
In one example, based on comparison of the cumulative scores of the individuals with a predetermined threshold score, the resourcing module 120 identifies the individuals for deployment. In case the first questionnaire pertains to the first occupation set, the resourcing module 120 can select, based on the cumulative score of each of the identified individuals, one or more first occupations from the first occupation set, in which the individual can be deployed. Subsequently, the resourcing module 120 can generate details of the deployment and an offer of deployment for each of the individuals, with reference to the selected first occupations.
Subsequently, the individuals can be engaged in the respective first occupations with the business establishment for a first period, for example, for 6 months. During the first period, the individuals can be trained in their respective first occupations and provided remuneration. In an example, the business establishment can, in turn for the expense for training, can capitalize on increased productivity and added value of the individuals. In an implementation, the questionnaire module 118 can generate a second questionnaire and send it to the deployed individuals, for example, based on the personal information stored in the resource data 126. In an example, the second questionnaire can pertain to a second occupation set including a plurality of second occupations, whereas in

another example, the second questionnaire can pertain to a single second occupation. In said examples, the second occupations relate to such occupations that employ traditional knowledge and skill of the individual. Further, in an example, the second occupation set can include occupations that produce tradable commodities.
Accordingly, in one implementation, the second questionnaire can be based on a second parameter set including a profile of the individuals. For example, the second parameter set can include age group of the individuals, family structure, status of employment before being engaged with the business establishment, status of infrastructure availability, knowledge of traditional practices, and cultural involvement. Further, the second parameters set can include a preferable occupation for each of the individuals, availability of infrastructure for the preferable occupation and the requirement thereof Such details pertaining to the preferable occupation are also referred to as preferable occupation specifications. For example, in case the preferable occupation for an individual is agriculture, the questionnaire module 118 can enquire whether the individual owns cultivable land, tools and implements for agriculture, and the know-how. Hence, the questionnaire module 118, through the second questionnaire, can enquire about the above mentioned parameters from the individuals. Further, the questionnaire module 118 can request response to the second questionnaire from the individuals.
In an implementation, the resourcing module 120 receives and analyzes the responses to the second questionnaire. The resourcing module 120 can analyze the responses based on predefined rules and predefined responses stored in the questionnaire data 124. For example, the resourcing module 120 can determine the second occupation or the preferable occupation for the individuals, and the availability and requirement of infrastructure for each of the individuals. Further, the resourcing module 120 can assess the infrastructural resources available with the business establishment and compare it with the required infrastructural resources for the individuals. The details of the infrastructural resources available with the business establishment can be stored in the resource data 126. Based on the assessment, the resourcing module 120 can select the individuals and offer infrastructural resources, such as machinery and implements, relevant know-how, and in case of agriculture, land, to the selected individuals. In an implementation, the

resourcing module 120 can offer the infrastructural resources to the selected individuals for sale or for lease. In one example, the resourcing module 120 can compare the prices of the infrastructural resources to the prevalent market price and provide the resources at comparable prices.
In case the selected individuals assent to the offer from the resourcing module 120, the resourcing module 120 can request access to a financial account held by each of the individuals, for example, a salary account. Further, in such case, the individual can re-invest the capital earned from the business establishment, back into the existing lines of operation and trade run by the business establishment. The business establishment, on the other hand earns revenues by providing infrastructural resources to the individuals at market-comparable rates.
In another implementation, the resourcing module 120 is configured to monitor the behaviour of the individuals during the deployment of the individuals in the first occupation to analyze whether the individual can be deployed in a second occupation from the second occupation set. According to said implementation, the resourcing module 120 can monitor the various activities of the individuals to analyze the inherent traits and traditional background and may achieve profiling of the individuals. For example, the resourcing module 120 can track the websites visited by the individuals, in and out timing of the individuals at the workplace for a certain period of time, break-up of time spent by the individuals on different activities at the workplace, and television channels surfed by the individuals at the workplace. In addition, the questionnaire module 118 can provide the second questionnaire to further assist the resourcing module 120 in profiling the individuals, and analyzing and selecting the individuals suitable for one or more of the second occupations in the second occupation set.
The individuals can be deployed in the second occupation for a second period. for example, for about 6 to 8 months. In one implementation, the individuals obtain tradable output as a result of the performance of the second occupation at the end of the second period. In one example, in case the second occupation is agriculture, the tradable output can be the grains produced at the end of the season. In said implementation, the individuals can offer the tradable output, such as products or services, to the business establishment for sale,

by interacting with the optimization system 102 through the user devices 104 at the resourcing centre of the business establishment. The individuals can offer the output for sale in response to a request from the optimization system 102 at the end of the second period. Subsequently, the resourcing module 120 can compare the prices of the products offered for sale by the individuals with the prevalent market prices of the products, and can send an acceptance of the offer. In another implementation, the resourcing module 120 can send an offer price for the products, comparable to the market prices, to the individuals at the user devices 104. Based on the acceptance of the offer at either end, the transaction is completed and the amount is transferred into the respective financial accounts of the individuals.
Hence, at the beginning of the second period, the optimization system 102 facilitates the re-investment of a portion or whole of the capital earned from the business establishment during the first period, back into the business establishment at the end of the first period. Further, a portion or whole of the capital re-invested in the business establishment is transferred to the individuals at the end of the second period, thus establishing a continuous flow of capital between the individual and the business establishment over the first and the second period.
Further, at the end of the second period, the resourcing module 120 can request enrollment of the individuals back into the first occupation. In another implementation, the questionnaire module 118 can generate a third questionnaire, for example, similar to the first questionnaire, related to a third occupation set, and send it to the individuals. Based on the response provided by the individuals to the third questionnaire, the resourcing module 120 can identify and suggest one or more third occupations from the third occupation set. As explained earlier, the individuals can select the respective third occupations and may enroll themselves with the business establishment for deployment in the third occupation. In one implementation, the optimization system 102 offers release of the individuals after a predetermined cycle period, for example, 3 years from first enrollment. Further, the optimization system 102 can also provide assistance and training to each of the individuals completing the cycle period for venturing into entrepreneurial activities, for example, based on the amount of capital available with the respective individual. In another

implementation, the optimization system 102 can assess the individuals based on
performance-related parameters and select individuals for being deployed as guides and
trainers for further batches of individuals.
In an implementation, the resourcing module 120 is configured to suggest a new
line of business operations to the business establishment, based on the response from the
individuals to the first questionnaire, or the second questionnaire, or subsequent
questionnaires, or based on the responses provided by the individuals to all the
questionnaires.
Fig. 2 illustrates an exemplary method 200 for achieving optimization of
resources, according to an implementation of the present subject matter. Although,
description for the method 200 is provided below with reference to the optimization system
102, it will be understood that the method 200 can be carried out by other systems and
devices.
The exemplary method 200 may be described in the general context of computer
executable instructions embodied on a computer-readable medium. Generally, computer
executable instructions can include routines, programs, objects, components, data structures,
procedures, modules, functions, which perform particular functions or implement particular
abstract data types. The method 200 may also be practiced in a distributed computing
environment where functions are performed by remote processing devices that are linked
through a communications network. In a distributed computing environment, computer
executable instructions may be located in both the local and the remote computer storage
media, including memory storage devices.
The order in which the method 200 is described is not intended to be construed as
a limitation, and any number of the described method blocks can be combined in any order
to implement the method 200, or an alternative method. Additionally, individual blocks may
be deleted from the method 200 without departing from the spirit and scope of the methods,
systems and devices described herein. Furthermore, the method 200 can be implemented in
any suitable hardware, software, firmware, or combination thereof,
Referring to Fig. 2, at block 202, a first questionnaire pertaining to a first
occupation set is generated. The first occupation set can include one or more first

occupations available in a business establishment running a plurality of lines of business operations. In an example, the first occupations include occupations that employ creative and artistic skills. In said example, the first occupations can include animation and animated content generation, web designing, and aesthetic designing of internet sites and web portals. Further, in an example, the first questionnaire is generated by the questionnaire module 118. In said example, the questionnaire module 118 can be implemented through the optimization system 102, which is deployed at the business establishment seeking to deploy human resources, such as individuals, in different lines of operation and trade. According to an implementation, the first questionnaire can include questions based on a first parameter set including creativity, artistic skill and knowledge, and logical ability of the individuals. The first parameter set can further include inherent traits of the individuals, such as adaptability, ability to grasp and learn, and team qualities. At block 204, the first questionnaire is provided to one or more individuals, for example, interacting through the user devices 104. In said example, the user devices 104 can be implemented at a resourcing centre of the business establishment in a rural region, and the individuals can be individuals belonging to the rural region and seeking deployment at the business establishment. In an implementation, the first questionnaire is provided to the individuals at the user devices 104 by the questionnaire module 118.
At block 206, responses to the first questionnaire are obtained from, for example, the individuals. In one example, the responses to the first questionnaire are obtained by the resourcing module 120.
At block 208, one or more first occupations from the first set of occupations are suggested based on analysis of the responses to the first questionnaire. In one example, the resourcing module 120 compares the responses to the first questionnaire by the individuals to a predefined set of answers and computes a score. Further, based on a threshold score, the individuals are selected for deployment in the business establishment. Furthermore, based on an analysis of the scoring pattern of each of the individuals, the first occupations for each individual is determined. Further, in one example, the determined first occupation for each of the individuals is provided by the resourcing module 120.

At block 210, based on the determination of the first occupation for each individual at block 208, details of the first occupation and a contract of deployment are sent to each of the individuals, for example, through the respective user device 104. In an example, the resourcing module 120 sends the details of the first occupation and the contract of deployment to all the individuals. In another example, the resourcing module 120 obtains personal information and contact details of the individuals and sends the details of the first occupation and the contract of deployment based on the personal information and the contact details of the individuals. Based on acceptance of the individuals to be deployed at the business establishment, the individuals can be deployed at the business establishment for a first period, for example, for 6 months.
At block 212, a second questionnaire pertaining to a second occupation set is generated. In one example, the second occupation set includes one or more second occupations that utilize cultural and traditional knowledge, and can include agriculture, horticulture, and fishing. In an implementation, the second questionnaire is generated by the questionnaire module 118.
In one implementation, the second questionnaire can include questions based on a second parameter set pertaining to, for example, traditional and cultural profiling of the individuals. For example, the second parameter set can include the age group of the individuals, the family structure and economic background, traditional and cultural knowledge, status of employment before engagement with the business establishment. availability r of infrastructural resources, preferable occupation and requirement of infrastructural resources for engaging in the preferable occupation. The details related to the preferable occupation and the infrastructural resources regarding the preferable occupation are referred to as preferable occupation specifications.
Further, at block 214, the second questionnaire is provided, for example, to the individuals who have completed the first period of deployment at the business enterprise. In an example, the second questionnaire is provided to the individuals by the questionnaire module 118.
At block 216, the response to the second questionnaire is obtained and analyzed. for example, by the resourcing module 120. In one example, the resourcing module 120

analyzes the responses to the second questionnaire by the individuals and compares the responses to a predetermined set of answers to determine one or more second occupations for each of the individuals. In another example, the resourcing module 120 can determine the second occupation for the individuals based on the preferable occupation provided in the response to the second questionnaire.
Further, in one example, based on the determination of the second occupation and available infrastructural resources with each of the individuals, the infrastructural resource requirement for each of the individuals is assessed. The infrastructural resources can include tools, machinery, implements, technical know-how, and in certain case, land. The required infrastructural resources with respect to the individuals are then compared with the infrastructure available with the business establishment. Further, in said example, based on the availability of the infrastructural resources with the business establishment, the resourcing module 120 can provide an offer a trade of the infrastructural resources to the individuals. For example, the resourcing module 120 can offer the infrastructural resources for sale or for lease. The resourcing module 120 can compare the prevalent market prices of the offered infrastructural resources and offer the infrastructural resources at a price comparable to the market prices.
Based on the acceptance of the offer by the individuals, in one example, the resourcing module 120 can request details regarding a financial account, such as a salary account, of each of the individuals. In an implementation, with the availability of the infrastructural resources, the individuals are deployed in the second occupation for a second period, for example, for about 6 to 8 months.
Further, at the completion of the second period, at block 218, the details of output obtained as a result of the performance of the second occupation are received, for example, by the resourcing module 120. In an example, the individuals deployed in the second occupation can interact with the business establishment, for example, using the user devices 104, and provide the details of the output products or services or both. In an example, the resourcing module 120 can send a request to the individuals at the user devices 104, at the end of the second period and obtain the details of the output from the individuals.

Based on the details of the products obtained at block 218, at block 220, an offer for purchase of the output of the second occupation is generated and sent, for example, by the resourcing module 120. In said example, the resourcing module 120 can offer a purchase price for the products based on the prevalent market price of the products. Further, based on the acceptance of the offer for purchase by the individuals, the offered price is credited, for example, by the resourcing module 120 into the financial account of the individuals. Further, at the end of method 200, enrollment of the individuals can be requested back into the first occupation. In another implementation, a third questionnaire can be generated, for example, similar to the first questionnaire, and sent to the individuals. Based on the response provided by the individuals to the third questionnaire, in one example, the resourcing module 120 can identify and suggest one or more third occupations from the third occupation set. As explained earlier, the individuals can select the respective third occupations and may enroll themselves with the business establishment for deployment in the third occupation.
In one implementation, a release of the individuals is offered after a predetermined cycle period, for example, 3 years from first enrollment. Further, training and guidance can be provided to each of the individuals completing the cycle period for venturing into entrepreneurial activities, for example, based on the amount of capital available with the respective individual. In another implementation, the individuals can be selected based on, for example, performance-based parameters, and deployed in the business establishment as guide or trainer for the further batches of individuals being deployed in the business establishment.
The systems and methods for optimizing resources, as described above, help in the preservation of traditional and cultural knowledge, mitigate under-utilization of human and infrastructural resources, and provide circulation of capital between the individuals and the business establishment, thus strengthening rural economies. Further, the individuals are provided deployment based on their skill set and traditional knowledge, which further facilitates in optimized deployment and development of human resources. It will be understood that although the systems and methods for optimization of resources have been described with reference to the first questionnaire being provided at the

outset and the second questionnaire at the end of the first period, the questions pertaining to the first and the second questionnaire can be provided to the individuals at the outset and the responses can be used to suggest the one or more first and second occupations. Although implementations for optimization of resources have been described in language specific to structural features and/or methods, it is to be understood that the present subject matter is not necessarily limited to the specific features or methods described. Rather, the specific features and methods for optimization of resources are disclosed as exemplary implementations of the present invention.

WE CLAIM:
1. A computer implemented method (200) for optimization of resources, the method (200) comprising:
providing a first questionnaire pertaining to a first occupation set;
determining at least one first occupation from the first occupation set based on a response to the first questionnaire, wherein the first occupation involves deployment of at least one resource for a first period;
providing a second questionnaire subsequent to the first questionnaire, wherein the second questionnaire pertains to a second occupation set; and
ascertaining at least one second occupation from the second occupation set based on a response to the second questionnaire, wherein the second occupation involves deployment of the resource for a second period.
2. The method (200) as claimed in claim 1, wherein the determining the first occupation is further based on a first parameter set. the first parameter set comprising at least one of creativity, artistic acumen, and skill set pertaining to the first occupation set.
3. The method (200) as claimed in claim 1, wherein ascertaining the second occupation is further based on a second parameter set, the second parameter s€t comprising at least one of individual profiles and preferable occupation specifications.
4. The method (200) as claimed in claim 1, wherein the ascertaining the second occupation further comprises:
assessing one or more required infrastructural resources for performing the second occupation; and
offering the required infrastructural resources for trade, based on the assessing.
5. The method (200) as claimed in claim 1, further comprising:
receiving details of at least one output obtained as a result of performance of the second occupation at an end of the second period; and
offering to trade the output, based on the details of the output.
6. An optimization system (102) for optimization of resources, the optimization system
(102) comprising:
a questionnaire module (118) configured to,

generate a first questionnaire based on a first parameter set, wherein the first questionnaire relates to a first occupation set; and a resourcing module (120) configured to,
receive a response to the first questionnaire; and
determine a first occupation from the first occupation set, based on the response to the first questionnaire.
7. The optimization system (102) as claimed in claim 6, wherein the questionnaire module (118) is further configured to provide a second questionnaire based on a second parameter set, wherein the second questionnaire pertains to a second occupation set.
8. The optimization system (102) as claimed in claim 7, wherein the resourcing module (120) is further configured to determine a second occupation from the second occupation set, based on a response to the second questionnaire.
9. The optimization system (102) as claimed in claim 7, wherein the resourcing module (120) is further configured to provide the second questionnaire at an end of the first occupation.
10. The optimization system (102) as claimed in claim 7, wherein the resourcing module (120) is further configured to,
determine, based on a response to the second questionnaire, at least one required infrastructural resource for performing a second occupation from the second occupation set; and
provide an offer for trade of the required infrastructural resource, based on the determination.
11. The optimization system (102) as claimed in claim 1, wherein the resourcing module
(120) is further configured to,
obtain one or more details of an output obtained as a result of performance of a second occupation from the second occupation set; and
provide, based on the details of the output, an offer to trade the output.
12. The optimization system (102) as claimed in claim 7, wherein the resourcing module
(120) is further configured to generate a suggestion for a new line of operation, based

on at least one of the response to the first questionnaire and a response to the second questionnaire. 13. A computer-readable medium having a set of computer readable instructions that, when executed, perform acts comprising:
generating a first questionnaire pertaining to a first occupation set and a second questionnaire pertaining to a second occupation set;
determining at least one first occupation from the first occupation set based on a response to the first questionnaire, wherein the first occupation involves deployment of a resource for a first period; and
ascertaining at least one second occupation from the second occupation set based on a response to the second questionnaire, wherein the second occupation involves deployment of the resource for a second period.