11916results about "Market data gathering" patented technology

A customer lead management system that relates to a system and method for collecting and organizing customer-marketing data, which is then made available to business representatives to assess. Specifically, using a computer network, and data on a potential customer's Budget, Authority, Needs, Timeframe, and other related customer data is collected. While this data is being collected, the customer lead management system stores the customer lead data in real-time instantly, automatically ranking the viability of the customer lead on the interest level of the customer lead and other variable criteria used in the web-based algorithm calculation, and automatically electronically notifies the appropriate company and / or company representative about the customer lead. The resulting customer lead profile record is located in a web server database, and can be accessed and undated in real-time by a portable computer or electronic device that has been web-enabled. The customer lead data is then capable of being accessed via a computer network by various companies that have goods / services that satisfy the needs and requirements of the customer lead. A company representative can be automatically notified when a customer lead profile has been updated.

Rights management information is used at least in part in a matching, narrowcasting, classifying and / or selecting process. A matching and classification utility system comprising a kind of Commerce Utility System is used to perform the matching, narrowcasting, classifying and / or selecting. The matching and classification utility system may match, narrowcast, classify and / or select people and / or things, non-limiting examples of which include software objects. The Matching and Classification Utility system may use any pre-existing classification schemes, including at least some rights management information and / or other qualitative and / or parameter data indicating and / or defining classes, classification systems, class hierarchies, category schemes, class assignments, category assignments, and / or class membership. The Matching and Classification Utility may also use at least some rights management information together with any artificial intelligence, expert system, statistical, computational, manual, or any other means to define new classes, class hierarchies, classification systems, category schemes, and / or assign persons, things, and / or groups of persons and / or things to at least one class.

A method for providing unequal allocation of rights among agents while operating according to fair principles, comprising assigning a hierarchal rank to each agent; providing a synthetic economic value to a first set of agents at the a high level of the hierarchy; allocating portions of the synthetic economic value by the first set of agents to a second set of agents at respectively different hierarchal rank than the first set of agents; and conducting an auction amongst agents using the synthetic economic value as the currency. A method for allocation among agents, comprising assigning a wealth generation function for generating future wealth to each of a plurality of agents, communicating subjective market information between agents, and transferring wealth generated by the secure wealth generation function between agents in consideration of a market transaction. The method may further comprise the step of transferring at least a portion of the wealth generation function between agents.

A system for electronic commerce (10) having personal agents (12 and 13) that represent consumers and providers in a virtual marketplace (28). Consumer personal agents conceal the identity of the consumer and are capable of creating decision agents (14) that shop for products and assist consumers in comparing and ranking products. Provider personal agents are capable of creating demand agents (16) that quantify demand and target specific consumers without learning the identity of the consumers. Based on data generated by the activities of the decision agents and on preference data maintained by consumer personal agents, provider personal agents can quantify current, historical, and future demand, simulate demand, and target specific consumers for advertising and other messages. Provider personal agents can cooperate with consumer personal agents to collect data about reasons for sales and lost sales and to offer consideration payments to consumers. Consumer personal agents can automatically reject unsolicited messages that do not satisfy the consumer's preferences.

A method and system for placement of graphical objects on a page to optimize the occurrence of an event associated with such objects. The graphical objects might include, for instance, advertisements on a webpage, and the event would include a user clicking on that ad. The page includes positions for receipt of the object material. Data regarding the past performance of the objects is stored and updated as new data is received. A user requests a page from a server associated with system. The server uses the performance data to derive a prioritized arrangement of the objects on the page. The server performs a calculation regarding the likelihood that an event will occur for a given object, as displayed to a particular user. The objects are arranged according to this calculation and returned to the user on the requested page. The likelihood can also be multiplied by a weighting factor and the objects arranged according to this product.

A computer-implemented method for managing a plurality of customer relationship plans may include a step of collecting profile check values from a database of customer data, the collected profile check values including customer data corresponding to profile checks for each of the plurality of customer relationship plans. The collected profile check values may then be applied to predefined selection criteria in one or more of the plurality of customer relationship plans. The selection criteria determines whether a customer relationship plan of the plurality of customer relationship plans applies to a customer. One or more customer relationship plans may then be assigned or de-assigned to each of the selected customers, depending upon whether the applied profile check values satisfy or fail to satisfy the predefined selection criteria, respectively. The assigned customer relationship plan(s) may then be applied and one or more synchronous and / or an asynchronous actions may be carried out upon the occurrence of a selectable customer event, as called for by applied customer relationship plan(s). The profile checks may include one or more plan indicator, such as customer opportunity size, customer size, market segment or a user-definable business event, for example.

A personal communication and electronic commerce system for use by participating users and participating merchants in connection with incentive programs in the Network Economy. The system includes a cellular communication network that includes geographically spaced base stations that are linked to a fixed communication network. Users may have personal communication devices that can be used to allow a digital message generated on the personal communication devices by placing a call through one of the base stations and memory for storing a digital value corresponding to a monetary value. The personal communication device may also be used as a cellular position locator to determine one's geographic location and, if desired, to access information from a merchant information database containing information pertaining to a plurality of participating merchants located within the geographic territory covered by the cellular communication network. The merchant information may be stored on a database that is accessible by merchants so those merchants can add, delete or alter information contained in their respective listings. An incentive system is also provided for creating incentives for participating users to encourage. This computer implemented incentive program for encouraging certain participant actions includes a first reward program under which participants may earn points for certain actions and a second reward program through which the redemption rate associated with a particular participant is adjusted in response to certain participant action. The incentive program has a wide range of applications, including transportation, financial services and computer gaming.

Systems and methods are provided using combined technologies for social networking interactions using tracking, predicting, and implementing online consumer communications, browsing behavior, buying patterns, and advertisements and affiliate advertising and communications, for online coupons, mobile services, products, goods & services, entertainment shopping, auctions, bidding, bidding behavior, bidding results for targeting and filtering of promotions, online coupons, mobile services, products, goods & services, penny auctions or online auctions, advertisements and affiliate advertising or services on a three dimensional geospatial platform using geospatial mapping technology, company-local information, social networking, and social networking communities (“PGS-GM-CL / I-SN”).

This invention relates to methods and apparatus for improving communications between humans and devices. The invention provides a method of modulating operation of a device, comprising providing an attentive user interface for obtaining information about an attentive state of a user; and modulating operation of a device on the basis of the obtained information, wherein the operation that is modulated is initiated by the device. Preferably, the information about the user's attentive state is eye contact of the user with the device that is sensed by the attentive user interface.

System and methods for intelligent routing of requests from customers to agents where a request is received at a service center from a customer. Identification information related to the customer is accessed. Background information on the customer is retrieved from a storage facility. Task and attitude information about the customer is gathered. A model of the customer is created. Models for at least two agents are created. A performance optimizing calculation is performed that matches the customer model and the models for the at least two agents. A best match agent from the at least two agents is determined based on the matching. The customer request is routed to the best match agent.

A Web based system provides informational services for assisting customers in selecting products or other types of items from an electronic catalog of a merchant. Users of the system can create and join user communities, such as communities based on user hobbies, localities, professions, and organizations. The system also supports implicit membership communities that are based on email addresses (e.g., all users having a “nasa.com” email address), shipping / billing addresses, and other known user information. Using purchase history data collected for online users, the system automatically identifies and generates lists of the most popular items (and / or items that are becoming popular) within particular communities, and makes such information available to users for viewing. For example, in the context of an online book store users of the nasa.com community may automatically be presented a Web page which lists the bestselling book titles among nasa.com users, or may be sent email notifications of purchase events or hotselling books within the community. Another feature involves automatically notifying users interested in particular products of other users (preferably other members of the same community) that have purchased the same or similar products. For example, in one embodiment, when a user accesses a book detail page, the detail page is customized to include the names and email addresses of other members of the user's community that recently purchased the same book.

A search engine provides intelligent multi-dimensional searches, in which the search engine always presents a complete, holistic result, and in which the search engine presents knowledge (i.e. linked facts) and not just information (i.e. facts). The search engine is adaptive, such that the search results improve over time as the system learns about the user and develops a user profile. Thus, the search engine is self personalizing, i.e. it collects and analyzes the user history, and / or it has the user react to solutions and learns from such user reactions. The search engine generates profiles, e.g. it learns from all searches of all users and combines the user profiles and patterns of similar users. The search engine accepts direct user feedback to improve the next search iteration One feature of the invention is locking / unlocking, where a user may select specific attributes that are to remain locked while the search engine matches these locked attributes to all unlocked attributes. The user may also specify details about characteristics, provide and / or receive qualitative ratings of an overall result, and introduce additional criteria to the search strategy or select a search algorithm. Additionally, the system can be set up such that it does not require a keyboard and / or mouse interface, e.g. it can operate with a television remote control or other such human interface.

A method for managing appointments using a wireless device includes receiving scheduling data for a future appointment including a time associated with the future appointment. A current location of the wireless device is determined, and a reminder for the future appointment is provided at a time prior to the future appointment based on the current location of the wireless device. For example, the reminder may be provided at a time that varies based on the current location of the wireless device, a location associated with the future appointment, and an estimated travel time between the current location of the device and the location associated with the future appointment. Related methods, devices, and computer program products are also discussed.

A system, method and computer program product are disclosed for normalizing data in a supply chain management framework. A plurality of data types are defined with each data type including parameters. Data is received utilizing a network from a plurality of point of sale outlets of a supply chain that relates to an amount of goods sold by the point of sale outlets. A format of the data is verified against the parameters of the defined data types and any discrepancies between the format of the data and the parameters of the defined data types are corrected for facilitating an analysis of the data.

A computer-based method and system accomplish automatic optimization of a preferred merchandising figure of merit like revenue, profit, etc. by concurrent optimization of prices and in-store promotion schedules for groups of interrelated products in a supermarket or in a chain of supermarkets. The basis of the system is a statistical model that combines effects of prices, promotion schedules and other factors that could influence demands, and produces a flexible nonparametric predictive demand function that can be optimized simultaneously in prices and promotion schedules. The system generates demand predictions for groups of interrelated products by applying data mining procedures to historical database that contains sales data along with various sales conditions, adjusting statistical predictive demand models, and then optimizing them in prices and promotion schedules. The user can interact with the system by selecting and customizing optimization and prediction scenarios provided by the system, and by requesting customized reports with results of particular optimization and prediction schemes.

A system and method operates on a client device and acquires a suspect list of user products based on information derived from the client device. The system normalizes the list, and the user confirms the accuracy of the product list. The user product list is sent to a server where the user product list is compared to other lists using collaborative filtering techniques. The collaborative filtering techniques determine products of interest for the use and the level of interest of the user. The system computes a similarity measure based upon the number of similar products that match the user's product list and rankings provided by the user and others. Demographic and behavioral data may also be used in performing the comparison and the similarity measure. The system acquires editorial rankings of products from other users and provides a ranked list of recommended products based upon the editorial rankings.

A personal communication and electronic commerce system for use by participating users and participating merchants in connection with incentive programs in the Network Economy. The system includes a cellular communication network that includes geographically spaced base stations that are linked to a fixed communication network. Users may have personal communication devices that can be used to allow a digital message generated on the personal communication devices by placing a call through one of the base stations and memory for storing a digital value corresponding to a monetary value. The personal communication device may also be used as a cellular position locator to determine one's geographic location and, if desired, to access information from a merchant information database containing information pertaining to a plurality of participating merchants located within the geographic territory covered by the cellular communication network. The merchant information may be stored on a database that is accessible by merchants so those merchants can add, delete or alter information contained in their respective listings. An incentive system is also provided for creating incentives for participating users to encourage. This computer implemented incentive program for encouraging certain participant actions includes a first reward program under which participants may earn points for certain actions and a second reward program through which the redemption rate associated with a particular participant is adjusted in response to certain participant action. The incentive program has a wide range of applications, including transportation, financial services and computer gaming.

The present invention provides an adaptive process control and profit depiction system which is responsive to both process measurement input signals, economic inputs, and physical environment inputs. The process control system features an interactive optimization modeling system for determining manipulated process variables (also known as setpoints). These manipulated process variables are used to position mechanisms which control attributes of a manufacturing system, such as a valve controlling the temperature of a coolant or a valve controlling the flow rate in a steam line.

Disclosed is a method for providing secure private exchange of a profile data of a network participant between the participant and a plurality of third parties. The method comprises registering profile data by the network participant with a privacy control unit, assigning privacy levels to each of the plurality of attributes of the profile data, transferring the profile data along with privacy levels assigned to each of a plurality of attributes of the profile data to a privacy control unit generating a report for research and for targeting promotion campaigns to the network participant by using the profile data. The report is accessed by the plurality of third parties for communications with the network participant, wherein the plurality of third parties are registered with and invoiced by the privacy control unit. A portion of the invoice is provided as a fee to the network participant for providing the profile data.

A method and system for placement of graphical objects on a page to optimize the occurrence of an event associated with such objects. The graphical objects might include, for instance, advertisements on a webpage, and the event would include a user clicking on that ad. The page includes positions for receipt of the object material. Data regarding the past performance of the objects is stored and updated as new data is received. A user requests a page from a server associated with system. The server uses the performance data to derive a prioritized arrangement of the objects on the page. The server performs a calculation regarding the likelihood that an event will occur for a given object, as displayed to a particular user. The objects are arranged according to this calculation and returned to the user on the requested page. The likelihood can also be multiplied by a weighting factor and the objects arranged according to this product.

The present invention is directed to generating audience analytics that includes providing a database containing a plurality of user input pattern profiles representing the group of users of terminal device, in which each user of the group is associated with one of the plurality of user input pattern profiles. A clickstream algorithm, tracking algorithm, neural network, Bayes classifier algorithm, or affinity-day part algorithm can be used to generate the user input pattern profiles. A user input pattern is detected based upon use of the terminal device by the current user and the user input pattern of the current user is dynamically matched with one of the user input pattern profiles contained in the database. The current user is identified based upon dynamic matching of the user input pattern generated by the current user with one of the user input pattern profiles. The present invention processes each user input pattern profile to identify a demographic type. A plurality of biometric behavior models are employed to identify a unique demographic type. Each user input pattern profile is compared against the plurality of biometric behavior models to match each user input pattern profile with one of the biometric behavior models such that each user input pattern profile is correlated with one demographic type. Audience analytics are then based upon the identified demographic types.

Assessment of risk to a specified name that represents at least one of a brand name, a domain name, a trademark, a service mark or a business entity name, includes acquiring data relating to the specified name, and quantifying risks to the specified name in the event a third-party has obtained, or were to obtain, a registration to the same name or a variant of the name. Risk scores are associated with the potential and actual registrations. An interactive display showing the risk scores is provided. Monitoring domain names and parsing domain names also are disclosed.

A merchant scoring system predicts and reports the likelihood that a merchant is reliable (e.g., trustworthy, honest, and reputable), which is expected to translate into a positive consumer experience. The system collects data from a variety of data sources, including combinations of the merchant, third-parties, and / or customers who have transacted with the merchant. A scoring model is executed on this collected data to determine an independent and objective merchant reliability metric that predicts the expected reliability of a merchant within a range. The system may also track transactions of individual merchants, populating a transaction history database with information about each merchant for use in this collection and scoring process. The transaction history data and other data may also be accessible to a prospective customer to build his or her confidence in and understanding of the merchant reliability metric and his or her trust of the merchant.

Various systems for collecting individual post-sale market data for products or services, and determining aggregate post-sale market data therefrom, are provided. In such systems, a sale of a product or service may trigger a third party, such as a payment provider, to arrange for the collection of individual post-sale market data from the consumer. Dependent upon the type of product or service involved, a schedule for continuously submitting post-sale market data for the product or service may be provided and the consumer may be encouraged to submit post-sale market data in accordance therewith through a variety of incentives. The received, individual, post-sale market data may be aggregated by one or more sources to determine aggregate post-sale market data for the product or service. The submitted individual data and / or the determined aggregate post-sale market data may then be provided to consumers in order to assist them in making purchasing decisions.

A method for incorporating one-time-tokens, coupon and reward systems in conjunction with merchants' POS checkout systems in the physical or virtual environments includes providing a consumer computing device comprising an electronic wallet application, providing a One-time Token Redemption System(OTRS) and user electronic wallet accounts, logging into a user electronic wallet account through the electronic wallet application, sending a request for a one-time token valid for a specified time interval and then forwarding the request for the one-time token to the OTRS and upon approval sending the requested one-time token from the OTRS to the electronic wallet application. Next, presenting and entering the one-time token into a merchant point of sale checkout system within the specified time interval via the consumer computing device, sending the entered one-time token to a checkout application, and then processing payment via a secure payment application.

A method is disclosed for designing a coordinated content management and delivery system, using key considerations related to the client environment, and using key processes, and applying these to the design problem with the assistance of a template showing basic content management and delivery element relationships, whereby such a system can be implemented wherein coherent sales, training or marketing campaigns may be efficiently generated to web-based and other clients.

Systems and methods of online marketing, monitoring and control for merchants are disclosed. Third party providers are crawled to obtain information about a plurality of merchants and correlate the merchant information to create a merchant database. Third party providers are monitored for merchant information, and information about the merchants is stored. Alerts are provided to subscribing merchants when an alert trigger is identified within the system or at a third party provider. The method allows the subscribing merchant to view and respond to reviews, view and maintain online listings, prepare and send consumer offers, and prepare and send communications to consumers, all directly from the system. The method allows the subscribing merchant to view information and analyses for competing merchants. An overall marketing score for merchants is prepared and displayed. The method may be performed on a server and accessed via an Internet browser and mobile device applications.

The most preferred embodiment of the present invention is a computer-based decision support system that includes three main components: a database mining engine (DME); an advertising optimization mechanism; and a customized user interface that provides access to the various features of the invention. The user interface, in conjunction with the DME, provides a unique and innovative way to store, retrieve and manipulate data from existing databases containing media-related audience access data, which describe the access habits and preferences of the media audience. By using a database with a simplified storage and retrieval protocol, the data contained therein can be effectively manipulated in real time. This means that previously complex and lengthy information retrieval and analysis activities can be accomplished in very short periods of time (typically seconds instead of minutes or even hours). Further, by utilizing the advertising optimization mechanism of the present invention, businesses, networks, and advertising agencies can interactively create, score, rank and compare various proposed or actual advertising strategies in a simple and efficient manner. This allows the decision-makers to more effectively tailor their marketing efforts and successfully reach the desired target market while conserving scarce advertising capital. Finally, the user interface for the system provides access to both the DME and the optimization mechanism in a simple and straightforward manner, significantly reducing training time.