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Title:
AN AUTOMATED SYSTEM FOR TESTING OPTIMUM PRICING OF AIRFARES USING USER PREFERENCES AND METHOD THEREOF
Document Type and Number:
WIPO Patent Application WO/2024/018488
Kind Code:
A1
Abstract:
The present invention relates to a system and method for testing optimum pricing of airfares based on user preference, wishes of the users are recorded by the server (104) through a wish template graphically represented on a graphical user interface of the software module (102) installed in an operating device (110) and stored in in the data storage unit (108) by the server (104). The details stored are processed by the processor (106) of the server (104) for grouping and characterizing the users on the basis of their preferences. The server (104) provides the optimal pricing for different groups characterized and the prices are shared with the airlines through web server 1 of the airline (114). The server (104) receives the responses/instructions of the airlines by the server (104) and processes the instructions received by the processor (106) of the server and display the offers to the user.

Inventors:
WALIA SHEFALI (IN)
Application Number:
PCT/IN2023/050702
Publication Date:
January 25, 2024
Filing Date:
July 21, 2023
Export Citation:
Click for automatic bibliography generation   Help
Assignee:
WALIA SHEFALI (IN)
International Classes:
G06Q10/02; G06Q10/047
Foreign References:
US20210295361A12021-09-23
US20140207609A12014-07-24
Attorney, Agent or Firm:
RANA, Vikrant (IN)
Download PDF:
Claims:
CLAIMS:

1. A method for testing optimum pricing of airfares based on user preferences, comprising the steps of:

• a software module (102) configured in an operating device (110) communicably coupled to the server (104) via a wireless network (112), said software module (102) is configured to perform the steps comprising:

(a) displaying social wishing platform on a graphical user interface of the software module (102) on a display of an operating device (110) of a user;

(b) displaying “my preferences” section by the graphic user interface of the software module (102) on the display of the operating device (110), to the user wherein the user enters personal data of and selects plurality of options in the “my preferences” section via the operating device (110) and creates a travel wishlist of destinations;

• a server (104) communicably coupled to the software module (102), said server (104) is configured to perform the steps comprising:

(a) receiving input data of the user from the software module (102) and storing the input data in a data storage unit (108);

(b) processing the data stored in the data storage unit (108) by a processor (106) of the server (104) and creating groups of the users based on available inventory of the airlines and interconnection in preferences of the users;

(c) creating travel options for the users;

(d) calculating purchase aspiration score of the user;

• the server (104) communicably connected to a web server 1 of an airline (114) wherein the server (104):

(a) sends the user preference data, user groups data, buyer of wishfare, purchase aspiration scores of users, number of user for each airfare option and airfare options to the web server 1 of the airline (114);

(b) receives the responses/instructions and payment link from the web server 1 of the airlines (114);

(c) shares discount offers in a limited time window with the users in the group by the graphic user interface of the software module (102); and (d) displays options to the users in the groups for buying airfares on the graphic user interface of the software module (102). The method as claimed in claim 1, wherein the preferences of the users for creating monthly/yearly travel wishlist depends on travel country, monthly/yearly travel budget, travelling frequency in case discount provided on airfare exceeds percentage provided by the system, and preferred number of days to travel in a destination. The method as claimed in claim 1 , wherein the personal details of the user comprises of name, age, work, gender, and list of travelled countries. The method as claimed in claim 1, wherein the plurality of options in the “my preferences section” comprises of preferred travel group, travel company, gender based travel preferences, preferred travel reasons, preferred travel themes, and preferred personality traits of the users. The method as claimed in claim 1, wherein the travel preferences of the users comprises of travel country preference, preferred travel group, preferred travel reasons, monthly/yearly travel budget, and gender based travel preferences. The method as claimed in claim 1, wherein the group of users comprises of up to hundred users with similar preferences. An automated system (100) for testing optimum pricing of airfares based on a user preference, comprising:

• a software module (102) comprising a profile creation and management module, group creation and management module, travel preference and wish management module, optimum pricing module, and travel credit module;

• a server (104) communicably coupled to the software module (102), said server is configured to display, receive, process, transmit and store data by a user, comprising: (a) a processor (106) communicably coupled to the server (104), said processor (106) is configured to process the data received by the server (104), wherein the processor provides optimal pricing to the user on the basis of multiple analysis and forecasting models and preferences from the airlines;

(b) a data storage unit (108) communicably coupled to the server (104), said data storage unit (108) is configured to store data received by the server (104) and/or the processed data;

(c) an operating device (110) communicable coupled to the server (104) via a wireless network (112), said operating device (110) is configured to facilitate interaction between the user and the software module (102);and

(d) the server (104) communicably connected with a web server 1 of an airline (114) to receive the responses/instructions of the airlines with final approved options and displaying options to the users for buying airfares on a graphic user interface of the software module (102). The automated system (100) as claimed in claim 7, wherein the software module (102) of the system (100) is installed in the operating device (110) of the user. The automated system (100) as claimed in claim 7, wherein the server (104) is configured to create groups of users based on available inventory of airlines and interconnection in preferences in terms of travel preference, reasons for travel, budget of users and budget. The automated system (100) as claimed in claim 7, wherein the software module (102) is configured to display last minute travel offer alert on the operating device (110) of the system (100).

Description:
AN AUTOMATED SYSTEM FOR TESTING OPTIMUM PRICING OF AIRFARES USING USER PREFERENCES AND METHOD THEREOF

FIELD OF INVENTION

[001] The present invention relates to an automated system for methodology of airfare sales by testing optimum pricing of airfares based on user preference and a method thereof. More particularly, the present invention relates to an automated system for airfare sales with optimum pricing of airfares based on personal preferences of individuals in terms of such as, but not limited to, travelling dates or months, departure destination, duration of stay, solo or group travelers, their travel theme, preferred reasons for travel, personality type of the user and budget of the users. This user preferences data enables the platform to club users into a group who are more likely to enjoy traveling with each other as they have common preferences and thereby enabling the platform to create large groups of people who are flexible to travel to same destination on same dates. Users clubbed in same group can interact with each other and thereafter choose to confirm to the platform of their intent that whether they are interested in buying the airfares for suggested destinations and dates within a limited time window with or without the airfare pricing options. This information is shared with Airlines, thereby enabling the airlines in devising optimal pricing for maximum profitability and occupancy.

BACKGROUND OF THE INVENTION

[002] Nowadays, there is a gradual increase in the tourism industry and more travelers are opting airways for travelling. The dynamic pricing method is used in the airline industry for calculating the airfares.

[003] The airways have varying pricing for different days depending on the number of passengers booked the ticket. This leads to increase in the fares of the ticket near the departure date or peak travel season or whenever the demand is high. The airlines are not able to accumulate data for the passengers who wants to travel in a certain time period and destination, which leads to difficulty for the airlines to provide tickets to the passengers at an optimum price and the passengers gets exorbitant high rates for their preferred destinations and dates. As for airlines both higher occupancy and maintaining profitability on tickets sold are equally important. Thus, the optimal pricing plays an important role and takes care of both higher occupancy as well as profitability per ticket. [004] The airlines categorizes the travelers into two types i.e. leisure travelers and business travelers.

[005] The leisure travelers desires discounted rates and the discounted airfares are offered by the airlines to the bulk buyers like online travel agents, and for discounted rates the travelers has to take tickets from the travel agents in which the airlines does not get much profit and the passengers gets little discount. Also, the airlines calculates the airfare depending upon the forecasting form the past sales trends and bookings, average demand for certain routes and probability of selling more seats.

[006] Therefore, there is requirement for a system that groups and characterizes the data, travel intent and preferences of the user and facilitates the data of the user that desires to travel in a certain period to a certain destination and analyze this data for the airlines and provide them with useful insights as well as a platform to engage with travelers for immediate on time travel preferences data, so that airlines can provide optimum priced airfares to the travelers.

[007] The US patent US20150294240A1 discloses a method and system are directed towards comparing the overall costs for attending different events in a tour by a group based on each user’ s location and preferences. The overall cost is calculated for each individual who are planning to attend an event together as a group. Based on each user's location and preferences the overall cost will be different for different users. However, the system is limited to the users who want to travel to attending events in a tour, also it does not provide discount costs to the users.

[008] Another US Patent US 20020022981 Al discloses a method and a product which are directed towards a travel reservation system for finding lowest fares and optimal travel routes for a group of travelers. It particularly relates to a group of travelers traveling to a meeting or a convention but the origins for these travelers are different. A group manager feeds all this information the software and the software find an appropriate common destination where the entire group or parts of group can meet and from there on travel together to a common destination of the meeting or convention. However, the system is limited to users who want to travel in a meeting or convention and they meet at a common destination and then move towards the place of meeting, the system disclosed searches multiple databases to propose route combinations as well as airfares.

[009] Therefore, in view of the problems associated with the state of art, there arises a need to provide an efficient system and method which receives the wishes of the users and group the users according to their preferences where, when and with what kind of people they would like to travel. Also, devising optimal pricing which is profitable to both the users and airlines.

OBJECTIVES OF THE INVENTION

[0010] The primary objective of the present invention is to provide an automated system for grouping the passengers according to their travel preferences for the airlines.

[0011] Another objective of the present invention is to provide an efficient system and method for sorting individuals who wants to travel in a certain period or flying to the same destination and or flying from the same departure preferences based on data entered by the individuals in a wish template.

[0012] Another objective of the present invention is to group users on the basis of personal preferences of individuals in the terms but not limited to their travelling dates, boarding place, destination, duration of stay, solo or group travelers, their travel theme, preferred reason for travel, personality type of the user and budget of the users.

[0013] Another objective of the present invention is to provide the users in group, a platform to interact with each other.

[0014] Another objective of the present invention is to provide the option to the users if they desire cheap airfare or convenient travel.

[0015] Another objective of the present invention is to provide discount option for the users in a group.

[0016] Another objective of the present invention is to provide the user an option to prioritize the wish from multiple wishes made by the user on the wish template.

[0017] Another objective of the present invention is to devise optimum pricing for airlines using multiple analysis and forecasting models. [0018] Other objective and advantages of the present invention will become apparent from the following description taken in connection with the accompanying drawings, wherein, by way of illustration and example, the aspects of the present invention are disclosed.

SUMMARY OF THE INVENTION

[0019] The present invention relates to a method for testing optimum pricing of airfares based on grouping user's on their preferences and airline's preferences for available inventory for travel destinations and dates. A user joins the platform of the system and creates a yearly travel wish-list of destinations based on the priority of countries to travel. The graphic user interface of the software module displays my preferences section to the users to add/select their choices on the social wishing platform. The information entered is stored in the data storage unit. The free wish credit used and left after making a wish is displayed to a user. The server of the system creates the group of users on the basis of common preferences to travel which may include such as but not limited upto hundred for a common travel plan. Users in a group are provided with an interface where they can interact with each other. The discounted offers from the airlines are provided to the users in the group. The processor devises optimal pricing for maximum profitability and occupancy on the basis of multiple analysis and forecasting models and preferences from the airlines based on available inventory, and multiple options (including different to and from destination and dates as well as number of interested travelers) with optimized pricing for groups is shared with the airlines by the server. The server receives the responses/instructions of the airlines with final approved options and available inventory by the server and shares the discount offers and available inventory for the discounted options with the users in the group for a limited time window. A link for secure transaction is also provided for buying the airfares by the graphic user interface of the software module.

[0020] The present invention relates to a system for testing optimum pricing of airfares based on user preferences and airline's preferences for available inventory comprises software module, server communicably coupled to the software module comprising, a processor and a data storage unit. Also, an operating device communicable coupled to the server (104) via a wireless network which is operable to group the users based on their preferences and sending the information to the airline, the server is configured to display, receive, process, transmit and store data by a user on the software module, and thereby manages functioning of the software module. The operating device is configured to facilitate interaction between the user and the software module. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The present invention will be better understood after reading the following detailed description of the presently preferred aspects thereof with reference to the appended drawings, in which the features, other aspects and advantages of certain exemplary embodiments of the invention will be more apparent from the accompanying drawing in which:

[0022] Figure 1 illustrates the automated system for grouping category of users based on their travel preferences. [0023] Figure 2 & 3 illustrates a flowchart depicts group of individuals in different groups on the basis of preferences in terms of affordability of users.

[0024] Figure 4 & 5 illustrates a flowchart depicts group of individuals in different groups on the basis of preferences in terms of personality of users.

[0025] Reference numerals for the components of the system are enlisted herein: DETAILED DESCRIPTION OF THE INVENTION

[0026] The following description describes various features and functions of the disclosed mechanism with reference to the accompanying figures. In the figures, similar symbols identify similar components, unless context dictates otherwise. The illustrative aspects described herein are not meant to be limiting. It may be readily understood that certain aspects of the disclosed system can be arranged and combined in a wide variety of different configurations, all of which have not been contemplated herein.

[0027] Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope of invention. In addition, descriptions of well-known functions and constructions are omitted for clarity and conciseness.

[0028] Features that are described and/or illustrated with respect to one embodiment may be used in the same way or in a similar way in one or more other embodiments and/or in combination with or instead of the features of the other embodiments.

[0029] The terms and words used in the following description are not limited to the bibliographical meanings, but, are merely used to enable a clear and consistent understanding of the invention. Accordingly, it should be apparent to those skilled in the art that the following description of exemplary embodiments of the present invention are provided for illustrative purpose only and not for the purpose of limiting the invention.

[0030] It is to be understood that the singular forms “a”, “an” and “the” include plural referents unless the context clearly dictates otherwise.

[0031] It should be emphasized that the term “comprises/comprising” when used in this specification is taken to specify the presence of stated features, integers, steps or components but does not preclude the presence or addition of one or more other features, integers, steps, components or groups thereof. [0032] The term “social wishing platform” and/or “platform” used in the present disclosure is integrated in the software module of the system.

[0033] The term “wish/wishes” used in the present disclosure refers to a complete wishing template filled by a user on the social wishing platform.

[0034] The term “wish credit” used in the present disclosure refers to free credit points allotted to each user by the social wishing platform.

[0035] The term “wishfare” used in the present disclosure refers to the desired airfares filled by the user in wishlist template on the social wishing platform.

[0036] The present invention relates to an automated system for airfare sales by testing optimum pricing of airfares based on user preference and a method thereof. More particularly, the present invention relates to an automated system for testing optimum airfares based on the inputs/ preferences from the users and compiling the preferences according to the month or year of travel, total number of people, flying from and flying to destination establishing interconnection in preferences of the individuals and forms a group based on the interconnection in preferences of different individuals. The interconnection in preferences of individuals are evaluated in terms of flying from and flying to destination, month of travelling, travelling solo or with friends or family, duration of stay, fixed or flexible dates of travel, whether the users want cheap travel or convenient travel.

[0037] In an embodiment, the system (100) comprises of a software module (102), a server (104) configured to manage the functioning of the software module (102); and an operating device (110) configured to enable interaction between the user and the software module (102) of the system. The server (104) further comprises of a processor (106) and a data storage unit (108). The components of the system (100) are described herein detail:

[0038] (a) Software module (102): The software module (102) of the system (100) is configured to facilitate testing and building optimum pricing of airfare options based on user preference. The software module (102) includes an interface such as, but not limited to, a graphical user interface and/or text entry interface, enabling interaction of the user with the software module (102) of the system (100).

[0039] The software module (102) of the system (100) further comprises of a plurality of independent modules such as, but not limited to, profile creation and management, group creation and management module, travel preference and wish management module, optimum pricing module, travel credit module.

[0040] (b) Server (104): The server (104) of the system (100) is communicably coupled to the software module (102). The server (104) is configured to manage functioning of the software module (102). The server (104) is configured to display, receive, process, transmit and store data of the user. The server (104) further comprises of the following components: i) a processor (106) - The processor (106) is configured to process the data received by the server (104), facilitating the creation of groups of individuals on the basis of preferences of the individuals. In a preferred embodiment, at least one processor (106) is utilized in the present invention.

(ii) a data storage unit (108) - The data storage unit (108) is configured to store data received by the server (104) and/or the processed data.

[0041] (c) Operating device (110): The operating device (110) of the system (100) is communicably coupled to the server (104) via a wireless network (112) and is configured to facilitate interaction between the user and the software module (102) managed by the server (104). In an exemplary embodiment, the operating device (110) may include, such as, but not limited to smartphone, computer, laptop and Ipad.

[0042] In an embodiment, the software module (102) is installed in the operating device (110) of the system (100).

[0043] In another embodiment, the server (104) of the system (100) is configured to send and receive data through a web server (114) which is accessible by both the user and airlines.

[0044] In an exemplary embodiment, the web server 1 of the airline (114) is configured to receive data from server (104) of the system (100) such as, but not limited to, user preference data, user groups data, airfare options proposed by the server, number of users for each airfare options, purchase aspiration score of users, buyers of wishfares.

[0045] In an exemplary embodiment, the web server 1 of the airline (114) is configured to share data with the server (104) of the system (100) such as, but not limited to, available airline inventory along with airfare.

[0046] In an exemplary embodiment, the web server 2 of the user (116) is configured to receive data from server (104) of the system (100) such as, but not limited to discounted wishfare or airfares.

[0047] In an exemplary embodiment, the web server 2 of the user (116) is configured to share data with the server (104) of the system (100) such as, but not limited to travel preference, wishlist.

[0048] In an embodiment, the software module (102) installed in the operating device (110) of the system (100) includes an interface such as, but not limited to, a graphical user interface and/or text entry interface. The user interacts with the software module (102) managed by the server (104) through such interfaces visually represented on the display of the operating device (110). The graphical user interface is the graphical representation of data presented to the user and permits the user to interact with the software module (102) by using an operating device (110). The graphical user interface allows the user to interact with the software module (102) majorly through visual elements such as, but not limited to, windows, menus, buttons, scroll bars, tabs and icons. Apart from the visual elements, physical input devices may be used by the user to interact with the software module (102) such as, but not limited to, keyboard, mouse, trackball, light pen and microphone. The text entry interface enables the user to interact with the software module (102) by providing text fields, thereby permitting the user to enter text using input devices such as, but not limited to, a virtual keyboard installed in the operating device (110), a physical keyboard connected to the operating device (110) wirelessly or via wires, and speech recognition module installed in the operating device (110) which converts audio into text.

[0049] In an exemplary embodiment as shown in fig 1. The user interacts with the operating device (110) which facilitates the interaction between the software module (102) and user. Further, the software module (102) sends and receives the data with the server (104) which is stored in the data storage unit (108) and processed in the processor (106). The server (104) of the system (100) is configured to send and receive data through a web server which is accessible by both the user and airlines.

[0050] In the main embodiment, the server (104) performs the optimal price testing of airfares following the following steps:

Step 1: A user joins the social wishing platform and creates a month/yearly travel wishlist of destinations where the user wants to travel in the order of priority of countries to travel.

Step 2: The graphic user interface of the software module (102) is configured to display “my preferences” section to the users to add/select their choices on the social wishing platform. The data entered or preferences given is stored in the data storage unit (108).

Step 3: The server (104) is configured to group the users on the basis of common travel preferences. Step 4: The server (104) is configured to create group of users which may include upto hundred users with similar travel plan.

Step 5: The software module (102) is configured to provide an interface to the users of a group enabling the interaction with each other and provide discounted offers to the users which the users can avail the discount and buy the airfares.

Step 6: The server (104) is configured to devise optimal pricing for maximum profitability and occupancy on the basis of multiple analysis and forecasting models.

Step 7: The software module (102) is configured to share the discounted offers to the users in the group in a limited time window and provide a link for secure transaction platform for buying the airfares by the graphic user interface of the software module (102).

[0051] In an exemplary embodiment, in step 1 for optimum price testing of airfare options, the profile creation and management module of the software module (102) provide interface to the user to create a profile. Thereafter, the server (104) of the system (100) is configured to graphically represent the social wishing platform or an interface which enables the user to make a monthly/yearly wishlist of destination in the current year or upcoming year with the help of graphic user interface of the software module (102). The user assesses the social wishing platform. Further, the preferred month/s of travel is selected by the user. Each user selects any destination and make a wish for them by completing the wish list given in the wishlist template. The server (104) is configured to fetch the details entered by the user in the wishlist template. The information entered by the users is stored in data storage unit (108). The server (104) is configured to display wishlist template by the graphical user interface on the display screen for the user to answer, required for creating a wish. In the given embodiment, the server (104) is configured to display the total number of countries on the graphic user interface of the software module (102) which enables the user to choose countries as per their preference. In an exemplary embodiment, the user may select upto ten countries in order their preference. The user may be required to select the preferred months for travelling. Further, a set of questions is provided to the user which may include such as, but not limited to, yearly travel budget, number of times the user may travel within zero to thirty days if the discount on the airfare exceeds percentage calculated by the software module (102) and the number of days user wishes to travel for a certain destination.

[0052] In an alternative embodiment, the users may add their personal data and select their choices from my preferences section on the wishlist platform. The server (104) groups the users according to their preferences.

[0053] In an exemplary embodiment, in the step 2 for optimum price testing of airfare options, The server (104) of the system (100) is configured to display wishlist template by the graphical user interface of the software module (102) on the display screen of the user which may include, such as, but not limited to, name, age, email ID, profession, gender of the user, list of countries travelled by the user. The travel group options are provided to the user to select one or more type of traveler, the options may include such as, but not limited to Backpacker, DIY travelers, solo traveler, the planner, free spirited traveler, offbeat traveler. Further, the user is provided options to the user to choose one or more travelling preference, the options may include such as, but not limited to solo, couple, friends, groups. Thereafter, the user is required to choose one or more reasons to travel, the options may include such as, but not limited to foodie, history buff, shopping, sports events, music festival, culture, history, meet locals and make friends, chill and relax, party every day, volunteer, spiritual. Further, user chooses one or more favorite travel theme, the options may include such as, but not limited to beach, mountains, sailing, hiking, driving, night life, nature, history and culture, camping, wildlife, adventure. Then, the user choose the most convenient travel option and may be asked to choose only one between the options which may include such as, but not limited to introvert or extrovert, punctual or flexible, planner or spontaneous, budget or luxury, peace or party, shopping or history, crazy or simple, mixed group or girls only or boys only. [0054] In another exemplary embodiment, as shown in Table 1, illustrates the terminology used in the field of the wishform template, the graphic user interface of the software module (102) displays the users the wishlist template and available wishes, the fields of which are as follows:

Field 1 : “Wish opening on” configured to receive input from the user, the date from which the user starts wishing for the destination.

Field 2: “Wish closing on” configured to receive input from the user, the date on which the user desires to stop the wish for the said destination.

Field 3: “Wish will be granted on” configured to be displayed by the system module on the date on which the wish will be granted.

Field 4: “Flying from” is configured to receive the inputs from the users from which destination they are making a wish for.

Field 5: “Flying to” is configured to receive inputs from the server indicating the destination for which the user is making wish.

Field 6: “Month for travel” is configured to receive inputs from the users in which month they want to travel to the destination.

Field 7: “Traveling with” is configured to display options to the users such as but not limited to solo, couple, friends or flexible.

Field 8: “Days you wish to say” is configured to display a drop down menu from which the users has to select number of days from 1 -20 they wish to stay at the destination.

Field 9: “Fixed or flexible” is configured to display options from which the users has to select whether they are fixed with the travel dates or flexible.

Field 10: “Guess the wishfare” is configured to receive inputs from the user in which the user guesses the airfare, which is recorded by the server. If the user’s guess is correct then the user will receive free airfare.

Field 11 : “Avail travel companion” is configured to display options to the user whether they wish to get connected with other travelers who are traveling alone.

Field 12: “Cheap or convenient” is configured to display options from which the users has to select whether they want the airfares to be cheap or they desires for convenient travel.

Field 13: All wishes made for same month of travel, “Choose first priority” is configured to display multiple wishes made by the user and the graphic user interface of the software module (102) is configured to require the user to choose the most preferred destination for the same preferred month.

Field 14: “Wish will be available till” configured to receive inputs from the user till which date the user wants to travel to a desired destination.

The user selects any number of destinations and make a wish for them.

Table 1

[0055] In an exemplary embodiment, the travel credit module of the software module (102) is configured to display a message of how much free wish credits are available with the user whenever the user makes a wish on the wish template. [0056] In an alternative embodiment the server (104) configured to characterize the users based on multiple use cases and the graphic user interface of the software module (102) displays the users with a problem solving questions for other passengers/travelers so that the user who have availed travel companion gets to be connected to group . [0057] In an alternative embodiment, the server of the system (100) provides users an option to add their travel partners from option “g” in the “My Travel Circle”, if certain user desires to travel together they would be kept in the same group. The data entered by the user is stored in data storage unit (108) of the system (100).

[0058] In an alternative embodiment, the graphic user interface of the software module (102) installed in the operating device (110) of the system (100) is configured to graphically represent the interface/platform which enables the multiple users to make a plan together to any destination. In an exemplary embodiment, the travel preference and wish management module of the software module (102) is configured to display multiple wishes on the platform of users who desire to share their travel preferences. Further, the shared travel preference can be assessed by other users and make wish on the same time period and travel destination.

[0059] In another alternative embodiment, the graphic user interface of the software module (102) installed in the operating device (110) of the system (100) is configured to graphically represent the platform on which the shared travel preference can be assessed by the user and make wish on the same time period and travel destination.

[0060] In an exemplary embodiment of the present invention, in the step 3 for optimum price testing of airfares, the server (104) of the system (100) creates the group of users based on their preferences given in the wishlist template. It categorize the users in different categories which may include such as, but not limited to category 1 of users who have selected more adventure driven options are clubbed together, who have more party and fun related preferences are clubbed together, who have more peace and spirituality driven preferences are clubbed together. Further, the users clubbed in category 1, may be further sub-categorized in category 2 on the basis of budget and luxury travelers. Thereafter, further sub-categorization in category 3 of the users into boys only or girls only groups on the basis of theirs preferences.

[0061] In another exemplary embodiment, as shown in Figure 2, the server (104) of the system (100) is configured to fetch data of the users who have wished for destination 1 and destination 2. Only those users who have shared travel preference as backpacker are sort out from the fetched data. Thereafter, only those users are picked up who are interested in adventure. Further, the selected users are classified on the basis of preference selected by them in between budget or luxury and subdivided into three groups i.e. boys only, girls only, mixed and thereafter grouped together in different groups.

[0062] In another exemplary embodiment, as shown in Figure 3, the server (104) of the system (100) is configured to fetch data of the users who have wished for destination 5 and month 2. Only those users who have shared travel preference as solo are sort out from the fetched data. Thereafter, only those users are picked up who are interested in party. Further, the selected users are classified on the basis of preference selected by them in between budget or luxury and subdivided into three groups i.e. boys only, girls only, mixed and thereafter grouped together in different groups.

[0063] In another exemplary embodiment, as shown in Figure 4, the server (104) of the system (100) is configured to fetch data of the users who have wished for destination 1. Only those users who have shared travel preference as planner are sort out from the fetched data. Thereafter, only those users are picked up who are interested in spirituality. Further, the selected users are classified on the basis of preference selected by them in between introvert or extrovert and subdivided into three groups i.e. boys only, girls only, mixed and thereafter grouped together in different groups.

[0064] In another exemplary embodiment, as shown in Figure 5, the server (104) of the system (100) is configured to fetch data of the users who have wished for month 1. Only those users who have shared travel preference as DIY traveller are sort out from the fetched data. Thereafter, only those users are picked up who are interested in adventure. Further, the selected users are classified on the basis of preference selected by them in between introvert or extrovert and subdivided into three groups i.e. boys only, girls only, mixed and thereafter grouped together in different groups.

[0065] In an exemplary embodiment, in the step 4 for optimum price testing of airfares, server of the system (100) is configured to categorize a group of users which may include such as but not limited upto hundred users for a common travel plan. The server of the system (100) is configured to receive last minute travel inventory from the airlines with multiple options for different destinations which may include but not limited to a combination of destination, departure, arrival date/time, number of seats available and price. Thereafter, a list of users is created who have selected the preferred destination in their wishlist. The groups created comprises of users which may include but not limited to hundred. In an alternative embodiment, the server (104) of the system (100) is configured to add each user to three groups in a month devised on the basis of common month of travel, destination and travel preference categorization. In an embodiment, the server of the system (100) is configured to add up those users in a group who frequently travelled together in the same group and exclude those users who were frequently added in the same group but did not travelled together.

[0066] In an exemplary embodiment, in the step 5 for optimum price testing of airfares, the group creation and management module of the software module (102) is configured to allow the user to interact with other users in same group from the date of creation of the group. Further, the users are given travel options with origin and destination along with to and from date as well as discount up to a certain percentage determined by the software module (102) with in few days of group creation. In the given embodiment, the graphic user interface of software module (102) displays the last minute travel option received by the operating device (110) of the software module (102) sent by the web server 1 of the airline (114) . Further, the user may choose any option they like and the users choosing any option will be visible to everyone in that particular group.

[0067] In an alternative embodiment the server (104) of the system (100) provides time limit to the users for voting or choosing the travel option which may include such as, but not limited upto 24 hours. The options chosen by the users is stored in data storage unit (108) and user can change the preferred option anytime. Also, in the said embodiment, the users who have not chosen any option within the said time limit would be dropped out of the group. Further, in the said embodiment, the graphic user interface of the software module (102) is configured to give an option to buy the airfares at an discount for the period which may include but not limited to three days for those users who have opted for an option, thereafter, the users who have not chosen any option within the said time limit would be dropped out of the group. In an exemplary embodiment, the group made may remain active upto but not limited to 7 days after the said group has returned from the trip.

[0068] In an exemplary embodiment, in the step 6 for optimum price testing of airfares, the server of the system (100) processes the user data stored in the data storage unit (108) to device optimal pricing for airlines and maximizing profitability and occupancy. The data storage unit (108) of the system shares the stored data of wishlist filled by the users to the web server 1 of the airline (114) before creating the groups of users in step 3. The server (104) is configured to collaborate with the web server 1 of the airline (114) to create and share the discount offers with the platform. The processing device on the basis of the multiple analysis and forecasting models proposes the origin and destination combinations along with the suggested dates for higher probability of buying the offers by users to the web server 1 of the airline (114). In an exemplary embodiment the discount offers are posted in different groups in order to fulfill the minimum number of people criterion for the airline, then the user selects the options in the group, which is saved in data storage unit (108). The server of the system (100) shares the data with the web server 1 of the airline (114), thereafter the airline shares a price for that particular option with the server (104) of the system (100), which is then shared with the users. In an alternate embodiment, the airline shares the last minute travel options with the communication module of the software module (102), the data is stored in the data storage unit (108), which is thereafter shared with the groups. The total number of users giving consent to the options is shared with the airlines along with the forecasts of the processor (106) of the server (104) based on the algorithm, the total number of users which would actually buy the airfare. Thereafter, the airline shares the price which is then shared with the users to buy the selected option.

[0069] In an exemplary embodiment, in the step 7 for optimum price testing of airfares, the options chosen by the user in step 5, the system takes a time period of but not limit to three days to confirm final travel options, which the users can buy. The server of the system (100) is configured to interact with the web server 1 of the airline (114) to finalize the airfare options for the users. After the said time period the operating system is configured to post the notifications on mobile device of users who have selected option to buy. The server (104) of the system (100) is configured to provide a unique pricing for different time periods for a limited time window after which the price changes. Further, after a user buys the options a notification is send on the group.

[0070] In another exemplary embodiment, the server of the system (100) is configured to display the last minute deals alert to the user from the data received from the airlines, the graphic user interface enables the user to feed the preferences and the data storage unit (108) records the features for the same. The software module (102) assists the airlines to sell last minute inventory to the users who have wished to travel last minute to those destinations. [0071] In an exemplary embodiment, the airline may utilize the data provided by the operating software module (102) and determine fares for a new destination and grow in an existing market.

[0072] In an exemplary embodiment, the software module (102) may propose the total number of people for destination flying from and flying to along with the suggested dates which has most likeliness to sell tickets and number of people who has higher possibility to buy the offers proposed which is shared with the airlines.

[0073] In an exemplary embodiment, the optimum pricing module of the software module (102) provides optimum prices to the server (104) which is shared by the webserver 1 of the airline (114). On receiving the forecast and pricing points, the airlines may further evaluate the demand and supply available at its own end and create its own revenue forecasting of what inventory would it want to sell to these groups of wishes and what shall be the new price points it would like to test on these set of users based on all the system provided suggestions and information.

[0074] In an exemplary embodiment, the server (104) of the system (100) is configured to calculate purchase aspiration score of the users based on the following factors as shown in Table 2 :

Table 2

[0075] In an exemplary embodiment, the purchase aspiration score of the user enables the server (104) to calculate the probability that the user will travel or accept the offers. [0076] In an exemplary embodiment, the airlines can also place a request at the graphic user interface of the software module (102) to promote a particular destination at selected times and offers for a certain period.

[0077] The method of the present invention comprises:

• a software module (102) configured in an operating device (110) communicably coupled to the server (104) via a wireless network (112), said software module (102) is configured to perform the steps comprising:

(a) displaying social wishing platform on a graphical user interface of the software module (102) on a display of an operating device (110) of a user;

(b) displaying “my preferences” section by the graphic user interface of the software module (102) on the display of the operating device (110), to the user wherein the user enters personal data of and selects plurality of options in the “my preferences” section via the operating device (110) and creates a travel wishlist of destinations;

• a server (104) communicably coupled to the software module (102), said server (104) is configured to perform the steps comprising:

(a) receiving input data of the user from the software module (102) and storing the input data in a data storage unit (108);

(b) processing the data stored in the data storage unit (108) by a processor (106) of the server (104) and creating groups of the users based on available inventory of the airlines and interconnection in preferences of the users;

(c) creating travel options for the users;

(d) calculating purchase aspiration score of the user;

• the server (104) communicably connected to a web server 1 of an airline (114) wherein the server (104):

(a) sends the user preference data, user groups data, buyer of wishfare, purchase aspiration scores of users, number of user for each airfare option and airfare options to the web server 1 of the airline (114);

(b) receives the responses/instructions and payment link from the web server 1 of the airlines (114); (c) shares discount offers in a limited time window with the users in the group by the graphic user interface of the software module (102); and

(d) displays options to the users in the groups for buying airfares on the graphic user interface of the software module (102).

[0078] In an embodiment, the present invention also relates to a method for devising optimum pricing based on the user preference. The method comprises the following steps:

(a) displaying social wishing platform by graphical user interface of a software module (102) on a display of an operating device (110) of user;

(b) accessing the social wishing platform by the users;

(c) displaying “my preferences” section by the graphic user interface of the software module

(102) on the display of the operating device (110),

(d) entering personal data by the users in the “my preferences” section via the operating device (110);

(e) displaying a plurality of options in the “my preferences” section by the graphical user interface of the software module (102);

(f) creating a monthly/yearly travel wishlist of destinations by the users based on preferences of the users

(g) selecting preferred options by the users via the operating device (110);

(h) storing input data of the users in a data storage unit (108);

(i) displaying wish credits used by the users and remaining wish credits available after making a wish by the users by the graphical user interface of the software module (102);

(j) processing the data stored in the data storage unit (108) by a processor (106) of a server (104);

(k) creating groups of the users by the server (104) based on the travel preferences of the users;

(l) providing discount offers to the users in the group by the server (104);

(m) displaying options to the users for buying airfares by the graphic user interface of the software module (102);

(n) devising optimal pricing for maximum profitability and occupancy on the basis of multiple analysis and forecasting models by the server (104) of the system (100); (o) sharing optimized pricing with airlines by the server (104) of the system (100) to a web server 1 of the airline (114);

(p) receiving the responses/instructions of the airlines by the server (104) of the system (100) from the web server 1 of the airline (114) ;

(q) sharing discount offers in a limited time window with the users in the group by the graphic user interface of the software module (102); and

(r) displaying a link of secure transaction platform for buying the airfares by the graphic user interface of the software module (102).

[0079] Example 1: a) All the list of destinations along with month and possible dates are shared with airlines before the platform creates the group of users.

Destination - Mongolia

Origin - Delhi, Mumbai, Ahmedabad, Kolkata, Pune

Number of Users who have voted to travel or wished for (Delhi to Mongolia - 10000), (Mumbai to Mongolia - 20000), (Ahmedabad to Mongolia - 5000), (Kolkata to Mongolia - 3000), (Pune to Mongolia - 1200)

Preferred Months to Travel - (June - 10000), (August - 15000), (September -20000)

Users open to Flexible Dates - 15000

Number of Users who want Cheap Airfares - 10000

Number of Users who want Cheap + Convenient Airfares - 25000

Number of Users Traveling with (Solo - 10000), (Couple - 15000), (Family - 8000)

Number of Days Users wish to Stay (5 Days - 5000), (6 Days - 15000), (7 Days - 4000), (8 Days - 3000), (10 Days - 6000) b) Airlines collaborate with the server and data processing module of the invention to create and share the options with the platform like

Delhi to Mongolia from 7th June to 20th June, 40% Discount, Maximum - 1000 People, Minimum - 200 people. Mumbai to Mongolia from 7th July to 18th July, 30% Discount, Maximum - 1500 People, Minimum - 300 people.

[0080] Example 2:

Traveller Type 1 : Neha, Swara, Misha, Vishal, Gautam

Age: 26 - 30

Status: Single Traveller

Type: Solo Traveller; Deal Hunter

Profession: Business Analyst, Sales

Traveller 1 : How can you help Solo Traveller Neha and others solve take an International Trip to Georgia in the month (Undecided) so that they can visit within a budget, for 5 to 8 Days?

Traveller Type 2: Vijay, Shweta, Rhea, Dhiraj, Tanya

Age: 24 -28

Status: Single

Type: Backpacker; Subscribed to Airline Deals

Profession: Designer, Artist

Traveller 2: How can you help Backpacker Hina solve plan an international trip to Georgia with cheap airfares in May so that they choose to travel to Georgia with cheapest airfares for 6 Days?

Use Case - All Curated Wishes of Next 3 Months for Georgia to be analysed. Travellers for Georgia but month undecided to be clubbed with travellers for Georgia and month decided. Month undecided travellers to be given the month decided by other travellers

[0081] The advantages of the system of the present invention includes:

• The present invention provides an automated system for grouping the passengers into different categories in accordance with their preference to travel destination, month of travel etc. for the airlines to decide the pricing based on the forecasting models of optimum pricing for each destination.

• The system of the present invention provides a method for groups of user in the category of backpackers, solo travelers, DIY travelers, Last minute travelers, globetrotters and others based on behavioral preferences.

• The system of the present invention enables the airlines to provide offers and last minute deals to the user.

• The system of the present invention enables the user to create wishes and last minute alerts too.

[0082] While this invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claim.