WO2021090236A1

WO2021090236A1 - Method and system for real time product attribute processing

Info

Publication number: WO2021090236A1
Application number: PCT/IB2020/060426
Authority: WO
Inventors: Patric OLENCZAK
Original assignee: Travelsquare Llc
Priority date: 2019-11-05
Filing date: 2020-11-05
Publication date: 2021-05-14

Abstract

Methods and systems for real time processing and optimization of a first attribute such as price including enhanced display. A user inputs a set of attributes except for the first attribute for the product or service, which is then defined by the system. In real time, first attribute data for that product or service is captured using a search engine scraper looking over the Internet for competitors' offers for the same product or service. The user's persona/profile is defined by a processing unit based on previous interactions with the system and other factors such as total prior bookings and decision tipping point. Using the captured competitors' first attribute data and the persona a better (i.e. lowest) first attribute custom-tailored to that particular user (for that particular time) is generated and a comparison displayed on a screenshot between the system first attribute and that of the one or multiple competitors'.

Description

METHOD AND SYSTEM FOR REAL TIME PRODUCT ATTRIBUTE PROCESSING

TECHNICAL FIELD

The invention is directed to systems which provide a specified attribute for the same or similar product.

BACKGROUND

Systems which provide a similar product have a strong web presence in areas such as travel, and in particular, hotel reservations. Should a person want to book a three-night stay (any night’s stay) in a hotel in Rome for two people for their selected dates, for example, the user directs his browser to a hotel reservation site, such as Hotels.com, inputs their data and they are provided with a price for the dates of their three-night stay. The web site, i.e., www.Hotels.com may have a discount if the potential traveler books multiple times through this web site, or a discount through other affinity programs, but the base rate is the same. There are also aggregators like Trivago.com, which show prices from one or more sites for the aforementioned three-night stay, but everyone booking the same three night stay for those dates and for two people, within a predetermined time period, would receive the same pricing for the stay, and the booking would be redirected to an online travel agent (OTA) for booking confirmation.

SUMMARY OF THE EMBODIMENTS

The invention provides an application which allows a consumer to compare attributes, such as price, for similar products based on a per user, per instance, in real time, on an application or the web. Each attribute request, such as price, is unique to each user. The invention is such that it obtains competitive data, over networks, such as the Internet, or through application programming interfaces (APIs) for the user-selected attribute. The obtained data is structured and analyzed, and compared with the same product attribute in the data bases of the system of the invention. Once the analysis is performed, a process is performed where it determined, which competitor has the best attribute for the product provided, e.g., lowest price for the same product type. The system then applies a process set to generate an attribute better than that for the same product, such as, a price lower than all competitors for the same or similar product. The consumer can decide to compare one or more multiple vendors, in order to have a complete view of the attribute, i.e., pricing, for the product. Additionally, the pricing received from the invention is personal to the consumer, and can only be seen by that particular consumer on the consumer’s designated device (e.g., smart phone, tablet computer, laptop computer, and desktop computer). The consumer can also name specific vendors which they want to use to compare with the results of the system of the invention.

This document references terms that are used consistently or interchangeably herein. These terms, including variations thereof, are as follows:

A “computer” includes machines, computers and computing or computer systems (for example, physically separate locations or devices), servers, computer and computerized devices, processors, processing systems, computing cores (for example, shared devices), and similar systems, workstations, modules and combinations of the aforementioned. The aforementioned “computer” may be in various types, such as a personal computer (e.g., laptop, desktop, tablet computer), or any type of computing device, including mobile devices that can be readily transported from one location to another location (e.g., smartphone, personal digital assistant (PDA), mobile telephone or cellular telephone).

A "server" is typically a remote computer or remote computer system, or computer program therein, in accordance with the “computer” defined above, that is accessible over a communications medium, such as a communications network or other computer network, including the Internet. A “server” provides services to, or performs functions for, other computer programs (and their users), in the same or other computers. A server may also include a virtual machine, a software based emulation of a computer.

An "application" or “software application”, includes executable software, and optionally, any graphical user interfaces (GUI), through which certain functionalities can be implemented.

A "client" is an application that runs on a computer, workstation or the like and relies on a server to perform some of its operations or functionality. Unless otherwise defined herein, all technical and/or scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the invention pertains. Although methods and materials similar or equivalent to those described herein may be used in the practice or testing of embodiments of the invention, exemplary methods and/or materials are described below. In case of conflict, the patent specification, including definitions, will control. In addition, the materials, methods, and examples are illustrative only and are not intended to be necessarily limiting.

One aspect is a computer-implemented method for providing real time processing and optimization by a system of a first attribute including enhanced display, the method comprising providing a user interface configured for selection by a particular user of a set of attributes, other than the first attribute, relating to a proposed stay in a particular hotel at a particular location during particular dates in a particular type of room, the set of attributes sufficient for the particular user to finalize a booking of the proposed stay, determining, by a product feature aggregator, a travel stay product at the particular hotel based on the particular user’s selection of all the set of attributes other than the first attribute, capturing, by a search engine scraper, first attribute data over the Internet offered by each of one or multiple competitors of the system for the determined travel stay product, storing, in a computer-readable storage medium, the particular user’s prior bookings with the system, accessing, using a processing unit, the stored data from the particular user’s prior bookings and determining, using the processing unit, a persona of the user, using a first attribute aggregation and optimization engine to aggregate the captured first attribute data and use the persona of the particular user to determine an optimal system first attribute for the travel stay product based on an adjustment of the first attribute configured to yield a lower/better first attribute that any first attribute offered by any of the one or multiple competitors, based on the aggregated captured first attribute data, for the determined travel stay product, automatically displaying, in real time relative to the determining, to the particular user using a digital display screen, a single screenshot comparison of the first attribute for the travel stay product offered by the system and the aggregated captured first attribute data for the travel stay product for each of the one or multiple competitors.

In some embodiments, the first attribute offered by the system is custom tailored to the particular user and is not necessarily a same first attribute for the determined travel stay product for a different user having a different persona. In some embodiments, the persona includes a tipping point defining when the particular user is expected to change a booking decision for travel stay products responsive to a change in the first attribute.

In some embodiments, the method further comprises automatically processing an acceptance by the particular user of the first attribute offered by the system and automatically providing a booking voucher for the travel stay product.

In some embodiments, the prior bookings include frequency, pattern and value of prior completed bookings within a certain time period and history of prior unconsummated bookings.

In some embodiments, the one or multiple competitors comprise multiple competitors and further comprising comparing, by the first attribute aggregation and optimization engine, the captured first attribute data of each of the multiple competitors so as to identify a first attribute having a lowest magnitude.

In some embodiments, the one or multiple competitors comprise multiple competitors and further comprising placing, by the first attribute aggregation and optimization engine, the captured first attribute data of the multiple competitors into an ordered list.

In some embodiments, the method further comprises using an artificial intelligence module of the processing unit to determine the persona.

Another aspect is a computer system configured for providing real time processing and optimization of a first attribute including enhanced display, comprising a user interface module configured for obtaining a particular user’s selection of a set of attributes, other than the first attribute, relating to a proposed stay in a particular hotel at a particular location during particular dates in a particular type of room, the set of attributes sufficient for the particular user to finalize a booking of the proposed stay, a product feature aggregator configured to determine a travel stay product at the particular hotel based on the particular user’s selection of all the attributes other than the first attribute, a search engine scraper configured to capture first attribute data in real time over the Internet offered by each of one or multiple competitors of the system for the determined travel stay product, a computer-readable storage medium configured for storing data from the particular user’s prior bookings with the system, a processing unit configured to access the stored data from the particular user’s prior bookings with the system and to determine a persona of the particular user, a first attribute aggregation and optimization engine configured to aggregate the captured first attribute data and use the persona of the particular user to determine an optimal system first attribute for the travel stay product based on an adjustment of the first attribute configured to yield a lower/better first attribute than any first attribute offered by any of the one or multiple competitors, based on the aggregated captured first attribute data, for the determined travel stay product, a digital display screen configured to automatically display, in real time relative to the determining, to the particular user a single screenshot comparison of the attribute for the travel stay product offered by the system and the aggregated first attribute data for the travel stay product for each of the one or multiple competitors.

In some embodiments, the first attribute offered by the system is custom tailored to the particular user and is not necessarily the same first attribute for the determined travel stay product for a different user having a different persona.

In some embodiments, the persona includes a tipping point defining when the particular user is expected to change a booking decision for travel stay products responsive to a change in the first attribute.

In some embodiments, the system further comprises a booking module configured for receiving the particular user’s acceptance of the first attribute offered by the system and automatically providing the particular user with a booking voucher for the travel stay product.

In some embodiments, the system further comprises at least one of machine learning, an artificial intelligence module of the processing unit and a neural network are configured to determine the persona.

Still another aspect is a non-transitory computer-readable medium having stored thereon an application for providing real time processing and optimization by a system of a first attribute, the application executable by one or more hardware processors, the execution performing providing a user interface configured for selection by a particular user of a set of attributes, other than the first attribute, relating to a proposed stay in a particular hotel at a particular location during particular dates in a particular type of room, the set of attributes sufficient for the particular user to finalize a booking of the proposed stay, determining, by a product feature aggregator, a travel stay product at the particular hotel based on the user selection of all the set of attributes other than the first attribute, capturing, by a search engine scraper, first attribute data over the Internet offered by each of one or multiple competitors of the system for the determined travel stay product, storing, in a computer-readable storage medium, the particular user’s prior bookings with the system, accessing the stored data from the particular user’s prior bookings and determining a persona of the user, aggregating the first attribute captured data and use the persona of the particular user to determine an optimal system first attribute for the travel stay product based on an adjustment of the first attribute configured to yield a lower/better first attribute that any first attribute offered by any of the one or multiple competitors, based on the aggregated captured first attribute data, for the determined travel stay product, automatically displaying, in real time relative to the determining, to the particular user, using a digital display screen, a single screenshot comparison of the first attribute for the travel stay product offered by the system and the aggregated captured first attribute data for the travel stay product for each of the one or multiple competitors.

In some embodiments, the first attribute offered by the system is custom tailored to the particular user and is not necessarily the same first attribute for the same travel stay product for a different user having a different persona.

In some embodiments, the execution of the application stored on the non-transitory computer-readable medium further performs automatically processing an acceptance by the particular user of the first attribute offered by the system and automatically providing a booking voucher for the travel stay product.

A yet still further aspect is a computer system configured for providing real time processing and optimization of a first attribute including enhanced display, comprising a user interface module configured for obtaining a particular user’s selection of a set of attributes, other than the first attribute, relating to a proposed product or service of a particular industry, the set of attributes sufficient for the particular user to finalize a purchase of the proposed product or service, a product feature aggregator configured to determine a product or service of the particular industry based on the particular user’s selection of all the attributes of the product or service other than the first attribute, a search engine scraper configured to capture and aggregate first attribute data in real time over the Internet offered by each of one or multiple competitors of the system for the determined product or service, a computer-readable storage medium configured for storing data from the particular user’s prior purchases with the system, a processing unit configured to access the stored data for the particular user’s prior purchases with the system and to determine a persona of the particular user, a first attribute comparison and optimization engine configured to use the aggregated first attribute data and the persona of the particular user to determine an optimal system first attribute for the determined product or service based on an adjustment of the first attribute configured to yield a lower/better first attribute than any first attribute offered by any of the one or multiple competitors, based on the captured data, for the determined product or service, a digital display screen configured to automatically display, in real time relative to the determining, to the particular user a single screenshot comparison of the attribute for the determined product or service offered by the system and the aggregated first attribute data for the determined product or service for each of the one or multiple competitors.

In some embodiments, the first attribute offered by the system is custom tailored to the particular user and is not necessarily the same first attribute for the determined product or service for a different user having a different persona.

In some embodiments, the system further comprises a booking module configured for receiving the particular user’s acceptance of the first attribute offered by the system and automatically providing the particular user with a booking voucher for the product or service.

In some embodiments, at least one of machine learning, a neural network and an artificial intelligence module of the processing unit is configured to determine the persona. A yet still further aspect is a computer-implemented method for providing real time processing and optimization by a system of a first attribute including enhanced display, the method comprising providing a user interface configured for selection by a particular user of a set of attributes, other than the first attribute, relating to a proposed product or service of a particular industry, the set of attributes sufficient for the particular user to finalize a booking of the proposed product or service, determining, by a product feature aggregator, a product or service of the particular industry based on the particular user’ s selection of all the set of attributes other than the first attribute, capturing, by a search engine scraper, first attribute data over the Internet offered by each of one or multiple competitors of the system for the determined product or service, storing, in a computer-readable storage medium, the particular user’s prior purchases with the system, accessing, using a processing unit, the stored data from the particular user’s prior purchases and determining, using the processing unit, a persona of the user, using a first attribute aggregation and optimization engine to aggregate the captured first attribute data and use the persona of the particular user to determine an optimal system first attribute for the determined product or service based on an adjustment of the first attribute configured to yield a lower/better first attribute that any first attribute offered by any of the one or multiple competitors, based on the aggregated captured first attribute data, for the determined product or service product, automatically displaying, in real time relative to the determining, to the particular user using a digital display screen, a single screenshot comparison of the first attribute for the determined product or service offered by the system and the aggregated captured first attribute data for the determined product or service for each of the one or multiple competitors.

In some embodiments, the first attribute offered by the system is custom tailored to the particular user and is not necessarily a same first attribute for the determined product or service for a different user having a different persona.

In some embodiments, the method further comprises automatically processing an acceptance by the particular user of the first attribute offered by the system and automatically providing a booking voucher for the travel stay product. In some embodiments, the prior bookings include frequency, pattern and value of prior completed bookings within a certain time period and history of prior unconsummated bookings.

In some embodiments, the method further comprises using machine learning, an artificial intelligence module of the processing unit and/or a neural network to determine the persona.

These and other features, aspects and advantages will become better understood with reference to the following drawings, descriptions and claims.

BRIEF DESCRIPTION OF THE DRAWINGS

Some embodiments are herein described, by way of example only, with reference to the accompanying drawings. With specific reference to the drawings in detail, it is stressed that the particulars shown are by way of example and for purposes of illustrative discussion of embodiments of the invention. In this regard, the description taken with the drawings makes apparent to those skilled in the art how embodiments of the invention may be practiced.

Attention is now directed to the drawings, where like reference numerals or characters indicate corresponding or like components. In the drawings:

FIG. 1 is a block diagram of an example architecture for a system in accordance with one embodiment;

FIG. 2 is a flow diagram of a process in accordance with an embodiment;

FIG. 3A is a diagram of a display showing results produced by the system on the screen of a user device, in accordance with one embodiment; FIG. 3B is a diagram of a display showing results produced by the system on the screen of a user device, in accordance with one embodiment;

FIG. 4 is a flow chart of a method in accordance with an embodiment;

FIG. 5 is a flow chart of a method in accordance with an embodiment;

FIG. 6 is a flow chart of a user’s actions in accordance with an embodiment;

FIG. 7 is a schematic of system architecture in accordance with one embodiment;

Fig. 8 is a schematic showing the flow of actions involving the user and the system, in accordance with one embodiment.

DETAILED DESCRIPTION OF THE EMBODIMENTS

The following detailed description is of the best currently contemplated modes of carrying out the invention. The description is not to be taken in a limiting sense, but is made merely for the purpose of illustrating the general principles of the invention, since the scope of the invention is best defined by the appended claims.

Certain embodiments generally provides a method, system and computer-readable medium for a real time personalized product or service first attribute processing and optimization including in some embodiments enhanced display. This yields a more successful booking experience in which the system provides discounts to consumers and gives them everything they need to know at their fingerprints efficiently. The system calculates the discounts it needs to give this particular user in order to induce a booking. The user always gets the best first attribute, for example price. The user saves time in not having to make repeated tedious queries to the vendor to collect all of the attribute data for the product or service sufficient to make a decision whether to book or purchase at a given price.

In some embodiments, the system obtains a set of the attributes that describe the product or service sufficient for the particular user to finalize a booking or purchase of the product or service which may be a booking of a proposed travel in a hotel. This information is obtained up front and this triggers in real time having the system scrape search engines to obtain competitors’ first attribute (i.e. price) for the same product or service. After aggregating the captured first attribute data and taking into consideration the user’s personal booking history with the system and other personal information, the system creates a persona of the user in real time which it uses together with the aggregated captured first attribute data of the competitors (which in any embodiment is typically multiple competitors but which may also be a single competitor in any particular embodiment herein) to generate a customized first attribute (for example price) that is presented as a direct price comparison to the user in real time in response to the user selecting “price comparison” or X comparison where “X” is the first attribute, or another suitable prompt.

It is customized in the sense that another user would not necessarily receive the same offer of the first attribute, for example price, for the same product or service.

Accordingly, the first attribute offered to the particular user is custom-tailored to that particular user. In certain embodiments, it is unique to that user. Not only is the first attribute offered by the system to the particular user custom-tailored for that particular user, it is based on the current persona and current aggregated captured first attribute data of the competitors at that time. Accordingly, the first attribute data offered to the particular user can be said to be custom- tailored to that particular user at that time t_j. This is typically true in any of the embodiments described herein, although it is not impossible for the aggregation and optimization engine 30 to decide to select an adjustment relative to the lowest competitor’s first attribute (that is, a discount in the case of a first attribute that is the price) that is constant over time for a particular user.

If the user likes the first attribute being offered for the product or service, the user may click a prompt such as "Book" to enter user details to get a booking voucher. Typically, only a single click is needed once the attributes have been selected and the system has in real time (responsive to the user’s inputting of the set of attributes) displayed a direct comparison of the first attribute (for example price) of the system and that of the one or multiple competitors’ first attribute. The user obtains a voucher and does not need to waste time dealing with the hotel directly or checking out a multitude of features of hotel packages or hotel or room features or characteristics (such as are included in the set of attributes other than the first attribute, for example other than price).

Before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not necessarily limited in its application to the details of construction and the arrangement of the components and/or methods set forth in the following description and/or illustrated in the drawings. The invention is capable of other embodiments or of being practiced or carried out in various ways.

As will be appreciated by one skilled in the art, aspects of the invention may be embodied as a system, method or computer program product. Accordingly, aspects of the invention may take the form of an entirely hardware embodiment, an entirely software embodiment (including firmware, resident software, micro-code, etc.) or an embodiment combining software and hardware aspects that may all generally be referred to herein as a "circuit," "module" or "system." Furthermore, aspects of the invention may take the form of a computer program product embodied in one or more non-transitory computer readable (storage) medium(s) having computer readable program code embodied thereon.

FIG. 1 shows an example architecture of an example system 100, in accordance with the invention. The system 100 is shown with its various components, and is not limited to residing in a single computer, server, or the like, and the system 100 may be distributed over multiple computers, servers, machines, and the like.

The system 100 includes processors (e.g., a Central Processing Unit (CPU) 102), linked to storage/memory 104. There is also a data capture module 111, and application programming interface 112, both linked to data storage 113, a user data capture module 114 linked to storage media 115, a pricing engine 116 and a parser or parsing module 117. As used herein, a “module”, for example, includes a component for storing instructions (e.g., machine readable instructions) for performing a process, and including or associated with processors for executing the instructions. All of the components 102, 104 and 111-117 link to each other either directly or indirectly for electronic and/or data communication therebetween.

The CPU 102 performs the processes (methods) of certain embodiments of the invention. For example, the processors may include x86 Processors from AMD (Advanced Micro Devices) and Intel, Xenon® and Pentium® processors from Intel, as well as any combinations thereof. Additional processors, including hardware processors, storage/memory, modules and storage media may also be part of the system for performing the invention.

The data capture module 111 and in some embodiments the API 112 search various networks for data as to the selected attribute, requested by users, such as hotel stay prices, e.g., cost for a hotel room on a one or more nights basis. A data storage 113 is used to store this obtained data, and includes multiple databases to organize this obtained data. The data storage 113, for example holds archival data, captured (collected) data (“collected” and “captured” used interchangeably herein), and analytical data about the various products based, for example on attributes, such as prices. The components 111, 112, 113 form a data unit, e.g., a first data unit DU1.

The user persona is in some embodiments inputted by the user in the Android or IOS app and web in the profile Tab. The user can also include a variety of information relating to his needs and requirements for possible future trips. The system captures this persona from a database or storage linked to the processing unit and may include for example customer usage of the system, whether the user is a first time user or a multiple user over a time period, or a user who has dropped out and the system wants to draw the user back into using system 100.

A user interface 114 obtains data from the user. In some embodiments searches networks for data on the user (individual or consumer) who is seeking to make a purchase, based on the attribute, for example, a two-night hotel stay in Paris. The data capture module 114 links to data storage 115, to store this obtained data, and includes multiple databases to organize this obtained data. The data storage 115, for example holds data on each user, such as how many times the user has used the system 100, number of conversions/incompletions with the system 100, and how many conversions using the systems, collected (captured) data and analytical data about the various products based, for example, on attributes, such as prices.

In some implementations, the data capture module 111 may, for example, include sniffers, probes and the like to capture the requisite data, as it propagates over the various communication networks such as the Internet.

In some embodiments, a pricing engine 116 which may be an aggregation and optimization engine 116 links to the first DU1 and the user interface 114 and storage 115. The engine 116 performs calculations of the attribute, e.g., price for the product, based on past and present data therefor. In some embodiments, the data captured and provided to the engine 116 includes corresponding prices sources of vendors, timestamps, indicating a time when the data was obtained. With the prices of competitors fixed by the engine 116, the engine 116 then calculates the system’s first attribute based on its scraped data of the competitors coupled with the persona of the specific user, to obtain an optimal system price.

In some embodiments, there is also a parsing module or data parser 117 of the system 100. This parsing module 117 parses the data or output from the engine 116 including competitors’ first attribute (i.e. prices) plus the system price, such that the results are presentations of the data such as: a list of the products, e.g. a list of hotels with each competitor’s price. The parsing module is linked to a display that displays a comparison of the competitors’ first attributes with that of the system 100 (such as the digital display device 119 shown in Fig. 3A and Fig. 3B).

Attention is now directed to FIG. 2, which shows a method 200 detailing a computer- implemented process in accordance with embodiments of the disclosed subject matter. Reference is also made to the components of the system 100 shown in FIG. 1. The process and subprocesses of FIG. 2 are computerized processes performed by the system 100. The aforementioned processes and sub-processes can be, for example, performed, automatically and, for example, in real time.

While the invention is shown in certain embodiments for hotel prices from various known hotel search engines, the invention is also applicable to any industries where the same product is being offered by multiple vendors where pricing is compared from different vendors, and which allows the system 100 to offer the lowest price for the same product. Such other inductees in which the invention is applicable include, for example, on-line travel agents (OTAs), such as Booking.com, Hotels.com, Expedia, and others; and, car hailing companies, such as Uber, Lyft, Grab, GoJek, and on-line taxis.

Fig. 8 shows the flow of action between the user and the system 100 in accordance with certain embodiments.

Method 200 may comprise a step 210 in which, for example, a particular user either downloads an application of the system 100 or else interfaces with a web site of the system 100. The user uses a user interface to select a set of attributes for a product or service in a particular industry. If for example this was a travel industry product or service, the set of attributes may include any of the following non-limiting examples of attributes (other than a first attribute which may for example be price of the stay): name of a hotel, its address or location, the dates of a desired stay or number of days, type of room (i.e. deluxe, regular, etc.), number of guests, with or without requiring breakfast each day, with or without a pool, whether the room fronts on the beach, availability of scuba diving, availability of taxi services at the hotel, specific cuisine, whether the payment to book is refundable, or any other suitable attribute other than the price of the stay. Step 210 may also include determining or defining, using for example a product feature aggregator which is part of the processing unit, the specific product or service of the particular industry that the particular user desires based on the particular user’s selection of all the set of attributes other than the first attribute. The word “product” in the phrase “product feature aggregator” in this patent application includes both products and services. In some embodiments, the set of attributes results in determination of a clearly defined product or service such that the user is in a position to accept a quote of a first attribute (for example price) by system 100 and thereby consummate the booking of the hotel stay or in general the purchase of the product or service, as the case may be, without further interactions with the vendor (such as the hotel). This is an advantage over prior art systems which require a follow-up of first contacting the hotel or other vendor to obtain further attributes and details and then consummate the transaction if desired.

As shown in Fig. 8, the product feature aggregator 24 (Fig. 7) may be implemented in some embodiments by utilizing a database as a convenient vehicle for aggregating the features or sets of attributes of the products and services that may be selected by the user using the user interface 22 (Fig. 7). In Fig. 8, the term “TSQ” refers to a name of the system.

The clicking or other form of inputting by the particular user on a screen of the application or on the web site at the user interface to indicate a request for a quote for the product or service containing that exact set of attributes thereby triggers a clear definition of the product or service.

In accordance with a further step 220, this request for a quote also triggers in real time activation and use of a search engine scraper 111 of system 100 to capture first attribute data (for example prices) over the Internet offered by each of one or multiple competitors, for example on their portals, for the determined product or service. This search engine scraping to capture data about the one or multiple competitors is visually illustrated at the top of Fig. 8, where for example “OTA1” refers to a “first online travel agent” and the three competitors comprise “OTA1”, “OTA2” and “OTA3”.

A further step 230 of method 200 may include determining a profile of the user which may be referred to as a persona of the user based on the user’s prior consummated and/or unconsummated bookings. The prior bookings may be limited to those in the industry of the determined product or service or may be broader than that so as to include any bookings with system 100, or they may be limited to bookings of the product or service having a subset of the set of attributes of the determined product or service. For example, the aggregation and optimization engine 116 of system 100 may consider the user’s prior bookings and attempts to book all hotel stays in a particular geographic area. The determining in some embodiments involves using artificial intelligence.

Method 200 may comprise an additional step 240 of aggregate the captured first attribute data (for example placing the data into an EXCEL file) and use the persona to determine an optimal system first attribute for the product or service based on an adjustment (for example a price discount) to beat a best first attribute of all competitors. For example, the competitors’ first attributes (for example prices) for the determined product or service may have been found to be 250, 280, 230 and 310 U.S. dollars (for example). In some embodiments, an engine 116, such as an aggregation and optimization engine 116, may compare the competitors’ first attributes to identify the best or most attractive such first attribute. In the case of first attributes that are prices that would be the first attribute of the lowest magnitude, in the above non-limiting example that would be $230. The engine 116 may in real time use the profile or persona of that particular user to arrive at an appropriate discount (custom tailored to the particular user) that would be lower than this lowest price, for example approximately 10% lower in one non-limiting example. In some embodiments, the discount would also be crafted to optimize a profit of the system 100.

This yields an advantage in that the first attribute offered by system 100 in method 200 is custom tailored to the individual user. This means that if another user, for example a second particular user, comes along and even selects the same exact set of attributes so as to define or determine the same product or service (for example a three night hotel stay at a particular hotel in Paris, France at a certain address, having a pool and beach front plus other specific attributes other than the price), system 100 may well, and in all likelihood would, offer a different first attribute for the identical determined product or service (for example a travel stay product) to the second particular user. It should be noted that as a result, in any of the methods herein, the first attribute offered to the particular user is not publicly available even to search engine scraper since it is personalized to each user unlike that of the prior art.

As indicated, the amount of the discount to the particular user would take into consideration the profile or persona of the user. One example of the stored data used for this purpose is the history of previous consummated and/or non-consummated transactions previously engaged in by the particular user. Specifically, in one implementation, the previous volume of booked products and services of this type (or in some embodiments in this particular industry or in other embodiments in any industry). In some embodiments, artificial intelligence (AI) is used to adjust the first attribute of system 100 (for example price) based on one or more factors such as: 1) whether the user is a first time user; 2) whether the user is a repeat user with short intervals of bookings; 3) what is the total value of total bookings with the system 100 within a certain time period; 4) what is the historical persona of the particular users based on the prior consummated or unconsummated transactions and what is their tipping point at which the user would response to a discount of a certain magnitude (in absolute amount or in relative amount) by using system 100 to consummate a booking (or in other version would change a booking decision for the product or service responsive to a change in the first attribute). In some implementations, the system’s aggregation and optimization engine 116 uses historical variables of a user’s (consumer’s) propensity to make a purchase, given the price of the product, the user’s demographic, and other attributes, using a neural network. In some embodiments, the profile or persona is based on information about prior bookings including one or more of or all of: frequency, pattern and value of prior completed bookings within a certain time period and history of prior unconsummated bookings. In other embodiments, the persona is based on the user’s propensity to make a purchase, given the price of the product, taking into consideration price elasticity and/or the user’s demographic. Some implementations utilize machine learning or a neural network to determine the profile or persona. Additionally, the first attribute, for example, prices, are optimized while at the same time guaranteeing the best net revenue for the system 100. In some cases, the discount may be extracted from a regular markup that the system 100 applies on bookings in relation to the hotel or other vendor.

In one simple non-limiting example, if the total value of bookings of the user during the previous three months within system 100 for hotel stays was higher, the discount would be greater. The term “booking” refers to consummating a purchase of products or services.

These are non-limiting examples of factors and system 100 may use other factors.

Step 240 may include displaying in real time relative to when the determining of the product or service with its set of attributes occurs, to the particular user using a digital display screen, a single screenshot comparison of the first attribute for the travel stay product offered by the system and the aggregated captured first attribute data for the travel stay product for each of the one or multiple competitors. Examples of this are shown in Fig. 3 A and Fig. 3B. In this patent application, “real time” means 500 milliseconds or less (up to half a second). In this patent application the term “product” in the phrase “travel stay product” refers to a traveler’s stay in a hotel or other lodging whether that is considered a product or a service. The term “single screenshot” refers to the comparison of the system first attribute and the one or multiple competitors’ first attribute being displayed on one screen (of a mobile phone or laptop or other user device or the web site of the system 100) as opposed to the user having to flip from one screen to another to compare the first attributes. In some embodiments, the list of competitors could extend into another screen but the fact of the system’s first attribute being the best or lowest first attribute is readily apparent from the single screenshot.

Accordingly, the definition of the “single screenshot” in this patent application for all embodiments is that in the case of multiple competitors’ first attributes being comparatively displayed at least two of them are on the same screen as the first attribute of the system and in the case of only a single competitor’s first attribute being comparatively displayed that single competitor’ s first attribute is comparatively displayed on the same screen as the first attribute of the system. Yet typically, even when there are multiple competitors’ first attributes displayed (such as three or four or five or six or more) all of the first attributes of the multiple competitors would be comparatively displayed on the same screen as the first attribute of the system.

This first attribute comparison (for example price) is a direct comparison without requiring the user to click or scroll to another screen to see the comparison clearly. The comparison may be side to side or one on top of the other. The first attributes of the one or multiple competitors may be ordered from highest or lowest or from lowest to highest and the first attribute of the system 100 may be situated at the top of the list. This is just one example of the presentation of the direct comparison.

If the particular user, in response to the displayed presentation of the direct comparison, clicks on a prompt on the screen such as “book” and thereby selects the system’s first attribute, such as by clicking on it, in certain embodiments this triggers the automatic processing of the acceptance by this particular user of the first attribute offered by the system and the system 100 automatically providing to the particular user a booking voucher for the product or service, for example the travel stay product. Therefore, the user need not contact the vendor, for example a hotel, and first spend time collecting more data about the attributes of the stay by asking many questions and interacting with the hotel.

After system 100 has generated a better, e.g., lower and lowest, price, the first attribute data is parsed so as to be displayed on either the system web site or (if the user had downloaded an application of the system 100) on the user device 300 (FIG. 3) (e.g., smart phone screen 301, laptop or tablet computer screen, monitor, and the like). The first attribute (for example pricing) received from system 100 is personal to the consumer, and can only be seen by that particular consumer on the consumer’s designated device (e.g., smart phone, tablet computer, laptop computer, desktop computer).

As shown in FIG. 3A, results, e.g., prices for the product, e.g., a nightly price for a two- night hotel stay in Paris beginning on December 7, 2019, is displayed, for example, by listing the competitors’ products and prices and the price from the system 100, as part of the list, as shown, on the screen display 301 from a smart phone 300. The “System” listing 302 of $91.00 for the hotel stay is followed by listings of the competitors 304, 306, 308, and buttons to purchase 310 the selected product or place in an electronic wallet 312. In the example shown in Fig. 3B, a direct comparison is displayed showing system price 302 as compared to the higher prices of Booking.com 304 and Traveloka 306. In some embodiments, the first attributes are displayed in order of magnitude, for example with the lowest price on top. In other embodiments, such as shown in Fig. 3B, they are not in descending or ascending order.

As shown in the flow chart of Fig. 4, one embodiment is a computer-implemented method 400 for providing real time processing and optimization by a system of a first attribute including enhanced display. This particular method is for a travel stay but it should be emphasized that other methods described herein may be for any product or service.

Method 400 may comprise a step 410 of selecting a set of attributes for a travel stay product other than a first attribute. Step 410 may be implemented in the form of providing a user interface configured for selection by a particular user of a set of attributes, other than the first attribute (for example price), relating to a proposed stay in a particular hotel at a particular location during particular dates in a particular type of room, the set of attributes sufficient for the particular user to finalize a booking of the proposed stay. Examples of the set of attributes are many. Non-limiting examples of the set of attributes include name of a hotel, its address or location, the dates of a desired stay or number of days, type of room (i.e. deluxe, regular, etc.), number of guests, with or without requiring breakfast each day, with or without a pool, whether the room fronts on the beach, availability of scuba diving, availability of taxi services at the hotel, specific cuisine, whether the payment to book is refundable, or any other suitable attribute other than the price of the stay.

Step 410 may also include determining, by a product feature aggregator of system 100, a travel stay product at the particular hotel based on the particular user’ s selection of all the set of attributes other than the first attribute (inputted by the user using the user interface).

Method 400 may also include a step 420 of capturing, by a search engine scraper, first attribute data over the Internet offered by each of one or multiple competitors of the system for the determined travel stay product. In any embodiment herein the search engine scraper for example search engine scraper 111 of Fig. 1 ) may comprise a software module and any suitable accompanying hardware necessary to implement the search engine scraping.

Method 400 may also include a step 430 of determining a persona or profile of the user based on a number of factors including for example prior consummated and/or un con sum mated bookings and optionally using machine learning, neural networks and/or an artificial intelligence module. Step 430 may be implemented for example by first storing, in a computer-readable storage medium accessible to the processing unit of system 100 (which includes its CPU and storage and any necessary software), the particular user’s prior interactions with system 100 including prior bookings with the system, including n on -con sum m ated bookings in some embodiments. The prior bookings may include in certain embodiments the frequency, pattern and value of prior completed bookings within a certain time period and history of prior unconsummated bookings.

Other factors may include, the pattern of decisionmaking of the user in response to changes in the first attribute (for example price) so as to identify a tipping point (for a tipping point in a magnitude of the first attribute) at which the user will change the user’s decision whether or not to purchase or book (a product or service such as a travel stay product) responsive to a change (for example a discount) in the first attribute (such as a price) of the product or service, for example a travel stay product. Additionally, any demographic factor such as age gender or geographic location etc. and other factors may also be factored into this profile or persona. Step 430 may also include accessing, using a processing unit, the stored data from the particular user’s prior bookings and determining, using the processing unit, a persona of the user. Method 400 may also comprise a step 440 of determine an optimal system first attribute for the travel stay product based on an adjustment to beat all of the one or multiple competitors and display first attribute comparison on a screenshot to prompt booking by user. This may be implemented for example by (for example by using a first attribute aggregation and optimization engine) aggregating the captured first attribute data and using the determined persona of the particular user to determine an optimal system first attribute for the travel stay product based on an adjustment (for example a discount in the case of a first attribute that is a price) of the first attribute configured to yield a lower/better first attribute that any first attribute offered by any of the one or multiple competitors, based on the aggregated captured first attribute data, for the determined travel stay product. The term “lower/better” as used throughout this patent application to describe a lower/better first attribute means, in the case of price, a lower price and in the case of first attributes other than price, a better first attribute in terms of being more appealing to potential purchasers.

Method 400 may also include automatically displaying, in real time relative to the determining, to the particular user using a digital display screen, a single screenshot comparison of the first attribute for the travel stay product offered by the system and the aggregated captured first attribute data for the travel stay product for each of the one or multiple competitors. The single screenshot comparison is one that allows the user to see both the first attribute offered by the system 10 and that of the one or more competitors on a single screen for easy comparison. Typically, as shown in Fig. 3 A and Fig. 3B, and this applies to any of the embodiments in this patent application, the first attribute offered by system 100 is proximate to those of the one or multiple competitors for easy comparison.

In certain versions of method 400 (and the same is tme of all other methods), step 440 also includes automatically processing an acceptance by the particular user of the first attribute offered by the system and/or automatically providing a booking voucher for the travel stay product.

In some implementations of method 400, the first attribute offered by the system is custom tailored to the particular user and is not necessarily a same first attribute for the determined travel stay product for a different user having a different persona.

Typically, the one or multiple competitors comprise multiple competitors. In some embodiments, method further comprises comparing, by the first attribute aggregation and optimization engine, the captured first attribute data of each of the multiple competitors so as to identify a first attribute having a lowest magnitude and optionally placing, by the first attribute aggregation and optimization engine, the captured first attribute data of the multiple competitors into an ordered list to be displayed.

For example, as shown in the flow chart of Fig. 5, one embodiment is a computer- implemented method 500 for providing real time processing and optimization by a system of a first attribute and enhanced display, the method 500 comprising a step 510 of providing a user interface configured for selection by a particular user of a set of attributes, other than the first attribute, relating to a proposed product or service of a particular industry, the set of attributes sufficient for the particular user to finalize a booking of the proposed product or service. This may include determining, by a product feature aggregator, a product or service of the particular industry based on the particular user’s selection of all the set of attributes other than the first attribute (inputted by the particular user). Method 500 may include a step 520 of capturing, by a search engine scraper, first attribute data over the Internet offered by each of one or multiple competitors of the system for the determined product or service and a step 530 of determining a profile/persona of the user which may include storing, in a computer-readable storage medium, the particular user’s prior purchases with the system and accessing, using a processing unit, the stored data from the particular user’s prior purchases and determining, using the processing unit, a persona of the user.

Method 500 may include a step 540 of using a first attribute aggregation and optimization engine to aggregate the captured first attribute data and use the persona of the particular user to determine an optimal system first attribute for the determined product or service based on an adjustment of the first attribute configured to yield a lower/better first attribute that any first attribute offered by any of the one or multiple competitors, based on the aggregated captured first attribute data, for the determined product or service product and a step of automatically displaying, in real time relative to the determining, to the particular user using a digital display screen, a single screenshot comparison of the first attribute for the determined product or service offered by the system and the aggregated captured first attribute data for the determined product or service for each of the one or multiple competitors.

All of the versions, all of the factors used or not used in any of the implementations of method 400 or the definitions of elements in method 400 apply equally to method 500. For example, in some embodiments of method 500 the first attribute offered by the system is custom tailored to the particular user and is not necessarily a same first attribute for the determined product or service for a different user having a different persona.

One further embodiment is a computer system configured for providing real time processing and optimization of a first attribute including enhanced display. This computer system 100 may comprise the system architecture shown in Fig. 1. In other versions, it may have the system architecture shown schematically in Fig. 7 including a user interface module 22 configured for obtaining a particular user’s selection of a set of attributes, other than the first attribute, relating to a proposed stay in a particular hotel at a particular location during particular dates in a particular type of room, the set of attributes sufficient for the particular user to finalize a booking of the proposed stay, a product feature aggregator 24 configured to determine a travel stay product at the particular hotel based on the particular user’s selection of all the attributes other than the first attribute, a search engine scraper 26 configured to capture first attribute data in real time over the Internet offered by each of one or multiple competitors of the system for the determined travel stay product, a computer-readable storage medium 28 configured for storing data from the particular user’s prior bookings with the system, a processing unit 20, including hardware and software, configured to access the stored data from the particular user’s prior bookings with the system and to determine a persona of the particular user.

The user’s persona may be determined in a persona module 28 linked to the processing unit 20 based on a number of factors including for example prior consummated and/or unconsummated bookings and optionally using machine learning, neural networks and/or an artificial intelligence module, prior bookings with the system, including non -consummated bookings in some embodiments. The prior bookings may include in certain embodiments the frequency, pattern and value of prior completed bookings within a certain time period and history of prior un con sum mated bookings. Other factors may include, the pattern of decisionmaking of the user in response to changes in the first attribute (for example price) so as to profile the user in terms of what is the tipping point at which the user will change a decision to purchase or book (a product or service such as a travel stay product) responsive to a change (for example a discount) in the first attribute (such as a price) of the product or service, for example a travel stay product. Additionally, any demographic factor such as age gender or geographic location etc. and other factors may also be factored into this profile or persona. The prior bookings may include frequency, pattern and value of prior completed bookings within a certain time period and history of prior un con sum mated bookings. The persona includes a tipping point defining when the particular user is expected to change a booking decision for travel stay products responsive to a change in the first attribute. Any other factor used to set the person of the user described regarding any of the methods 200, 400, 500 apply equally well as to system 100 and vice versa

System 100 may also include a first attribute aggregation and optimization engine 30 configured to aggregate the captured first attribute data and use the persona of the particular user to determine an optimal system first attribute for the travel stay product based on an adjustment of the first attribute configured to yield a lower/better first attribute than any first attribute offered by any of the one or multiple competitors, based on the aggregated captured first attribute data, for the determined travel stay product.

This system 100 may also include a digital display screen 40 configured to automatically display, in real time relative to the determining, to the particular user a single screenshot comparison of the attribute for the travel stay product offered by the system and the aggregated first attribute data for the travel stay product for each of the one or multiple competitors.

All of the versions, all of the factors (for example the factors that determine the persona) used in any of the implementations of system 100 described above or of methods 200, 400 or 500 or their definitions of elements apply equally to this version of system 100. As an example, in some versions of system 100 the first attribute offered by the system is custom tailored to the particular user and is not necessarily the same first attribute for the determined travel stay product for a different user having a different persona.

System 100 may further comprise a booking module configured for receiving the particular user’s acceptance of the first attribute offered by the system and automatically providing the particular user with a booking voucher for the travel stay product. The user’s acceptance may require only a single click on a prompt such as “Book” in some embodiments.

Any of the systems or methods described herein may incorporate certain elements or flow activity shown in Fig. 8.

A more general embodiment for any product and service may be described as a computer system 100 configured for providing real time processing and optimization of a first attribute including enhanced display. In this embodiment, system 100 may comprise: a user interface module configured for obtaining a particular user’s selection of a set of attributes, other than the first attribute, relating to a proposed product or service of a particular industry, the set of attributes sufficient for the particular user to finalize a purchase of the proposed product or service, a product feature aggregator configured to determine a product or service of the particular industry based on the particular user’s selection of all the attributes of the product or service other than the first attribute, a search engine scraper configured to capture and aggregate first attribute data in real time over the Internet offered by each of one or multiple competitors of the system for the determined product or service, a computer-readable storage medium configured for storing data from the particular user’s prior purchases with the system, a processing unit configured to access the stored data for the particular user’s prior purchases with the system and to determine a persona of the particular user; a first attribute comparison and optimization engine configured to use the aggregated first attribute data and the persona of the particular user to determine an optimal system first attribute for the determined product or service based on an adjustment of the first attribute configured to yield a lower/better first attribute than any first attribute offered by any of the one or multiple competitors, based on the captured data, for the determined product or service, a digital display screen configured to automatically display, in real time relative to the determining, to the particular user a single screenshot comparison of the attribute for the determined product or service offered by the system and the aggregated first attribute data for the determined product or service for each of the one or multiple competitors.

The first attribute offered by the system is custom tailored to the particular user and is not necessarily the same first attribute for the determined product or service for a different user having a different persona.

The persona may include a tipping point defining when the particular user is expected to change a booking decision for travel stay products responsive to a change in the first attribute.

The system may include a booking module configured for receiving the particular user’s acceptance of the first attribute offered by the system and automatically providing the particular user with a booking voucher for the product or service. The prior bookings may take into consideration frequency, pattern and value of prior completed bookings within a certain time period and history of prior unconsummated bookings.

The persona may be determined by at least one of machine learning, a neural network and an artificial intelligence module of the processing unit.

Another embodiment is a non-transitory computer-readable medium having stored thereon an application for providing real time processing optimization by a system of a first attribute, the application executable by one or more hardware processors, the execution performing: providing a user interface configured for selection by a particular user of a set of attributes, other than the first attribute, relating to a proposed stay in a particular hotel at a particular location during particular dates in a particular type of room, the set of attributes sufficient for the particular user to finalize a booking of the proposed stay, determining, by a product feature aggregator, a travel stay product at the particular hotel based on the user selection of all the set of attributes other than the first attribute, capturing, by a search engine scraper, first attribute data over the Internet offered by each of one or multiple competitors of the system for the determined travel stay product, storing, in a computer-readable storage medium, the particular user’s prior bookings with the system, accessing the stored data from the particular user’s prior bookings and determining a persona of the user, aggregating the first attribute captured data and using the persona of the particular user to determine an optimal system first attribute for the travel stay product based on an adjustment of the first attribute configured to yield a lower/better first attribute that any first attribute offered by any of the one or multiple competitors, based on the aggregated captured first attribute data, for the determined travel stay product, automatically displaying, in real time relative to the determining, to the particular user, using a digital display screen, a single screenshot comparison of the first attribute for the travel stay product offered by the system and the aggregated captured first attribute data for the travel stay product for each of the one or multiple competitors.

In some embodiments of the computer-readable medium the execution of the application further includes having the first attribute offered by the system be custom tailored to the particular user and is not necessarily the same first attribute for the same travel stay product for a different user having a different persona. The persona is determined by all of the factors described for determining the persona with respect to the system and methods herein including but not limited to the fact that the user’s persona may be based on the user’s prior bookings include frequency, pattern and value of prior completed bookings within a certain time period and history of prior unconsummated bookings and including but not limited to the fact that the user’s persona may include a tipping point defining when the particular user is expected to change a booking decision for travel stay products responsive to a change in the first attribute.

In some embodiments, the section of the application further includes automatically processing an acceptance by the particular user of the first attribute offered by the system and automatically providing a booking voucher for the travel stay product.

According to actual instrumentation and equipment of embodiments of the method and/or system of the invention, several selected tasks could be implemented by hardware, by software or by firmware or by a combination thereof using an operating system.

For example, hardware for performing selected tasks according to embodiments of the invention could be implemented as a chip or a circuit. As software, selected tasks according to embodiments of the invention could be implemented as a plurality of software instructions being executed by a computer using any suitable operating system. In an exemplary embodiment of the invention, one or more tasks according to exemplary embodiments of method and/or system as described herein are performed by a data processor, such as a computing platform for executing a plurality of instructions. Optionally, the data processor includes a volatile memory for storing instructions and/or data and/or a non-volatile storage, for example, non-transitory storage media such as a magnetic hard-disk and/or removable media, for storing instructions and/or data. Optionally, a network connection is provided as well. A display and/or a user input device such as a keyboard or mouse are optionally provided as well.

For example, any combination of one or more non-transitory computer readable (storage) medium(s) may be utilized in accordance with the above-listed embodiments. A non-transitory computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable non- transitory storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

As will be understood with reference to the paragraphs and the referenced drawings, provided above, various embodiments of computer-implemented methods are provided herein, some of which can be performed by various embodiments of apparatuses and systems described herein and some of which can be performed according to instructions stored in non-transitory computer-readable storage media described herein. Still, some embodiments of computer- implemented methods provided herein can be performed by other apparatuses or systems and can be performed according to instructions stored in computer-readable storage media other than that described herein, as will become apparent to those having skill in the art with reference to the embodiments described herein. Any reference to systems and computer-readable storage media with respect to the following computer-implemented methods is provided for explanatory purposes, and is not intended to limit any of such systems and any of such non-transitory computer-readable storage media with regard to embodiments of computer-implemented methods described above. Likewise, any reference to the following computer-implemented methods with respect to systems and computer-readable storage media is provided for explanatory purposes, and is not intended to limit any of such computer-implemented methods disclosed herein.

The flowcharts and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware -based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The descriptions of the various embodiments have been presented for purposes of illustration, but are not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments.

It is appreciated that certain features of the invention, which are, for clarity, described in the context of separate embodiments, may also be provided in combination in a single embodiment. Conversely, various features of the invention, which are, for brevity, described in the context of a single embodiment, may also be provided separately or in any suitable subcombination or as suitable in any other described embodiment of the invention. Certain features described in the context of various embodiments are not to be considered essential features of those embodiments, unless the embodiment is inoperative without those elements.

The above-described processes including portions thereof can be performed by software, hardware and combinations thereof. These processes and portions thereof can be performed by computers, computer-type devices, workstations, processors, micro-processors, other electronic searching tools and memory and other non-transitory storage-type devices associated therewith. The processes and portions thereof can also be embodied in programmable non-transitory storage media, for example, compact discs (CDs) or other discs including magnetic, optical, etc., readable by a machine or the like, or other computer usable storage media, including magnetic, optical, or semiconductor storage, or other source of electronic signals. The processes (methods) and systems, including components thereof, herein have been described with exemplary reference to specific hardware and software. The processes (methods) have been described as exemplary, whereby specific steps and their order can be omitted and/or changed by persons of ordinary skill in the art to reduce these embodiments to practice without undue experimentation. The processes (methods) and systems have been described in a manner sufficient to enable persons of ordinary skill in the art to readily adapt other hardware and software as may be needed to reduce any of the embodiments to practice without undue experimentation and using conventional techniques.

Although the invention has been described in conjunction with specific embodiments thereof, it is evident that many alternatives, modifications and variations will be apparent to those skilled in the art. Accordingly, it is intended to embrace all such alternatives, modifications and variations that fall within the spirit and broad scope of the appended claims.

Claims

WHAT IS CLAIMED IS:

1. A computer-implemented method for providing real time processing and optimization by a system of a first attribute including enhanced display, the method comprising: providing a user interface configured for selection by a particular user of a set of attributes, other than the first attribute, relating to a proposed stay in a particular hotel at a particular location during particular dates in a particular type of room, the set of attributes sufficient for the particular user to finalize a booking of the proposed stay, determining, by a product feature aggregator, a travel stay product at the particular hotel based on the particular user’s selection of all the set of attributes other than the first attribute, capturing, by a search engine scraper, first attribute data over the Internet offered by each of one or multiple competitors of the system for the determined travel stay product, storing, in a computer-readable storage medium, the particular user’s prior bookings with the system, accessing, using a processing unit, the stored data from the particular user’s prior bookings and determining, using the processing unit, a persona of the user, using a first attribute aggregation and optimization engine to aggregate the captured first attribute data and use the persona of the particular user to determine an optimal system first attribute for the travel stay product based on an adjustment of the first attribute configured to yield a lower/better first attribute that any first attribute offered by any of the one or multiple competitors, based on the aggregated captured first attribute data, for the determined travel stay product, automatically displaying, in real time relative to the determining, to the particular user using a digital display screen, a single screenshot comparison of the first attribute for the travel stay product offered by the system and the aggregated captured first attribute data for the travel stay product for each of the one or multiple competitors.

2. The method of claim 1, wherein the first attribute offered by the system is custom tailored to the particular user and is not necessarily a same first attribute for the determined travel stay product for a different user having a different persona.

3. The method of claim 1, wherein the persona includes a tipping point defining when the particular user is expected to change a booking decision for travel stay products responsive to a change in the first attribute.

4. The method of claim 1 , further comprising automatically processing an acceptance by the particular user of the first attribute offered by the system and automatically providing a booking voucher for the travel stay product.

5. The method of claim 1, wherein the prior bookings include frequency, pattern and value of prior completed bookings within a certain time period and history of prior unconsummated bookings.

6. The method of claim 1, wherein the one or multiple competitors comprise multiple competitors and further comprising comparing, by the first attribute aggregation and optimization engine, the captured first attribute data of each of the multiple competitors so as to identify a first attribute having a lowest magnitude.

7. The method of claim 1, wherein the one or multiple competitors comprise multiple competitors and further comprising placing, by the first attribute aggregation and optimization engine, the captured first attribute data of the multiple competitors into an ordered list.

8. The method of claim 1, further comprising using an artificial intelligence module of the processing unit to determine the persona.

9. A computer system configured for providing real time processing and optimization of a first attribute including enhanced display, comprising: a user interface module configured for obtaining a particular user’s selection of a set of attributes, other than the first attribute, relating to a proposed stay in a particular hotel at a particular location during particular dates in a particular type of room, the set of attributes sufficient for the particular user to finalize a booking of the proposed stay, a product feature aggregator configured to determine a travel stay product at the particular hotel based on the particular user’s selection of all the attributes other than the first attribute, a search engine scraper configured to capture first attribute data in real time over the Internet offered by each of one or multiple competitors of the system for the determined travel stay product, a computer-readable storage medium configured for storing data from the particular user’s prior bookings with the system, a processing unit configured to access the stored data from the particular user’s prior bookings with the system and to determine a persona of the particular user, a first attribute aggregation and optimization engine configured to aggregate the captured first attribute data and use the persona of the particular user to determine an optimal system first attribute for the travel stay product based on an adjustment of the first attribute configured to yield a lower/better first attribute than any first attribute offered by any of the one or multiple competitors, based on the aggregated captured first attribute data, for the determined travel stay product, a digital display screen configured to automatically display, in real time relative to the determining, to the particular user a single screenshot comparison of the attribute for the travel stay product offered by the system and the aggregated first attribute data for the travel stay product for each of the one or multiple competitors.

10. The system of claim 9, wherein the first attribute offered by the system is custom tailored to the particular user and is not necessarily the same first attribute for the determined travel stay product for a different user having a different persona.

11. The system of claim 9, wherein the persona includes a tipping point defining when the particular user is expected to change a booking decision for travel stay products responsive to a change in the first attribute.

12. The system of claim 9, further comprising a booking module configured for receiving the particular user’s acceptance of the first attribute offered by the system and automatically providing the particular user with a booking voucher for the travel stay product.

13. The system of claim 9, wherein the prior bookings include frequency, pattern and value of prior completed bookings within a certain time period and history of prior unconsummated bookings.

14. The system of claim 9, further comprising at least one of machine learning, an artificial intelligence module of the processing unit and a neural network are configured to determine the persona.

15. A non-transitory computer-readable medium having stored thereon an application for providing real time processing and optimization by a system of a first attribute, the application executable by one or more hardware processors, the execution performing: providing a user interface configured for selection by a particular user of a set of attributes, other than the first attribute, relating to a proposed stay in a particular hotel at a particular location during particular dates in a particular type of room, the set of attributes sufficient for the particular user to finalize a booking of the proposed stay, determining, by a product feature aggregator, a travel stay product at the particular hotel based on the user selection of all the set of attributes other than the first attribute, capturing, by a search engine scraper, first attribute data over the Internet offered by each of one or multiple competitors of the system for the determined travel stay product, storing, in a computer-readable storage medium, the particular user’s prior bookings with the system, accessing the stored data from the particular user’s prior bookings and determining a persona of the user, aggregating the first attribute captured data and use the persona of the particular user to determine an optimal system first attribute for the travel stay product based on an adjustment of the first attribute configured to yield a lower/better first attribute that any first attribute offered by any of the one or multiple competitors, based on the aggregated captured first attribute data, for the determined travel stay product, automatically displaying, in real time relative to the determining, to the particular user, using a digital display screen, a single screenshot comparison of the first attribute for the travel stay product offered by the system and the aggregated captured first attribute data for the travel stay product for each of the one or multiple competitors.

16. The computer-readable medium of claim 15, wherein the first attribute offered by the system is custom tailored to the particular user and is not necessarily the same first attribute for the same travel stay product for a different user having a different persona.

17. The computer-readable medium of claim 15, wherein the persona includes a tipping point defining when the particular user is expected to change a booking decision for travel stay products responsive to a change in the first attribute.

18. The computer-readable medium of claim 15, further comprising automatically processing an acceptance by the particular user of the first attribute offered by the system and automatically providing a booking voucher for the travel stay product.

19. The computer-readable medium of claim 15, wherein the prior bookings include frequency, pattern and value of prior completed bookings within a certain time period and history of prior unconsummated bookings.

20. A computer system configured for providing real time processing and optimization of a first attribute including enhanced display, comprising: a user interface module configured for obtaining a particular user’s selection of a set of attributes, other than the first attribute, relating to a proposed product or service of a particular industry, the set of attributes sufficient for the particular user to finalize a purchase of the proposed product or service, a product feature aggregator configured to determine a product or service of the particular industry based on the particular user’s selection of all the attributes of the product or service other than the first attribute, a search engine scraper configured to capture and aggregate first attribute data in real time over the Internet offered by each of one or multiple competitors of the system for the determined product or service, a computer-readable storage medium configured for storing data from the particular user’s prior purchases with the system, a processing unit configured to access the stored data for the particular user’s prior purchases with the system and to determine a persona of the particular user, a first attribute comparison and optimization engine configured to use the aggregated first attribute data and the persona of the particular user to determine an optimal system first attribute for the determined product or service based on an adjustment of the first attribute configured to yield a lower/better first attribute than any first attribute offered by any of the one or multiple competitors, based on the captured data, for the determined product or service, a digital display screen configured to automatically display, in real time relative to the determining, to the particular user a single screenshot comparison of the attribute for the determined product or service offered by the system and the aggregated first attribute data for the determined product or service for each of the one or multiple competitors.

21. The system of claim 20, wherein the first attribute offered by the system is custom tailored to the particular user and is not necessarily the same first attribute for the determined product or service for a different user having a different persona.

22. The system of claim 20, wherein the persona includes a tipping point defining when the particular user is expected to change a booking decision for travel stay products responsive to a change in the first attribute.

23. The system of claim 20, further comprising a booking module configured for receiving the particular user’s acceptance of the first attribute offered by the system and automatically providing the particular user with a booking voucher for the product or service.

24. The system of claim 20, wherein the prior bookings include frequency, pattern and value of prior completed bookings within a certain time period and history of prior unconsummated bookings.

25. The system of claim 20, wherein at least one of machine learning, a neural network and an artificial intelligence module of the processing unit is configured to determine the persona.

26. A computer-implemented method for providing real time processing and optimization by a system of a first attribute including enhanced display, the method comprising: providing a user interface configured for selection by a particular user of a set of attributes, other than the first attribute, relating to a proposed product or service of a particular industry, the set of attributes sufficient for the particular user to finalize a booking of the proposed product or service, determining, by a product feature aggregator, a product or service of the particular industry based on the particular user’s selection of all the set of attributes other than the first attribute, capturing, by a search engine scraper, first attribute data over the Internet offered by each of one or multiple competitors of the system for the determined product or service, storing, in a computer-readable storage medium, the particular user’s prior purchases with the system, accessing, using a processing unit, the stored data from the particular user’s prior purchases and determining, using the processing unit, a persona of the user, using a first attribute aggregation and optimization engine to aggregate the captured first attribute data and use the persona of the particular user to determine an optimal system first attribute for the determined product or service based on an adjustment of the first attribute configured to yield a lower/better first attribute that any first attribute offered by any of the one or multiple competitors, based on the aggregated captured first attribute data, for the determined product or service product, automatically displaying, in real time relative to the determining, to the particular user using a digital display screen, a single screenshot comparison of the first attribute for the determined product or service offered by the system and the aggregated captured first attribute data for the determined product or service for each of the one or multiple competitors.

27. The method of claim 26, wherein the first attribute offered by the system is custom tailored to the particular user and is not necessarily a same first attribute for the determined product or service for a different user having a different persona.

28. The method of claim 26, wherein the persona includes a tipping point defining when the particular user is expected to change a booking decision for travel stay products responsive to a change in the first attribute.

29. The method of claim 26, further comprising automatically processing an acceptance by the particular user of the first attribute offered by the system and automatically providing a booking voucher for the travel stay product.

30. The method of claim 26, wherein the prior bookings include frequency, pattern and value of prior completed bookings within a certain time period and history of prior unconsummated bookings.

31. The method of claim 26, wherein the one or multiple competitors comprise multiple competitors and further comprising comparing, by the first attribute aggregation and optimization engine, the captured first attribute data of each of the multiple competitors so as to identify a first attribute having a lowest magnitude.

32. The method of claim 26, wherein the one or multiple competitors comprise multiple competitors and further comprising placing, by the first attribute aggregation and optimization engine, the captured first attribute data of the multiple competitors into an ordered list.

33. The method of claim 26, further comprising using machine learning, an artificial intelligence module of the processing unit and/or a neural network to determine the persona.