Abstract: Method for personalized marketing of retail products. Generally, the method includes obtaining an information analysis about the shopping activities of the person, in which the information analysis is an analysis of gathered information by one or more first information monitoring devices about shopping activities of the person and the gathered information includes gathered product interaction information of the person. The gathered product interaction information includes product interaction information gathered by at least one of the one or more first information monitoring devices, and the product interaction information is based upon shopping by the person of one or more first products.

Abstract: Method for personalized marketing or advertising of products for purchase from retail stores. Generally, the method includes utilizing information monitoring devices to gather activities of the persons, including product interaction information, to obtain an information analysis about the consumer activities of the persons, further includes tracking the persons utilizing information monitoring devices, and further includes providing the persons a communication to a retailer location at which the persons can purchase related products. Such communication to the persons further includes product communications regarding the product, such as price, placement, marketing/advertising information, coupons regarding the products and related products, and purchase options regarding the products.

Abstract: Method for personalized marketing of retail products. Generally, the method includes obtaining an information analysis about the shopping activities of the person, in which the information analysis is an analysis of gathered information by one or more first information monitoring devices about shopping activities of the person and the gathered information includes gathered product interaction information of the person. The gathered product interaction information includes product interaction information gathered by at least one of the one or more first information monitoring devices, and the product interaction information is based upon shopping by the person of one or more first products.

Abstract: Method and systems for providing customer assistance in a retail store. The methods and systems include using information monitoring devices to identify a person at a retail store, which information includes (a) gathering information of one or more products that the first person retained while shopping at the store, (b) tracking the first person to a point-of-sale area of the retail store, and (c) utilizing the one or more information monitoring devices to identify one or more being-purchased products that the person is providing for purchase at the retail store in the point-of-sale area. The methods and systems further includes comparing the products retained by the person while shopping at the retail store with the one or more being-purchased products, utilizing the real time analysis by the system to select a sales associate, and sending a communication to the sales associate, wherein the sales representative can then directly interact with the first person in response to the communication.

Abstract: Method for personalized marketing of retail products. Generally, the method includes obtaining an information analysis about the shopping activities of the person, in which the information analysis is an analysis of gathered information by one or more first information monitoring devices about shopping activities of the person and the gathered information includes gathered product interaction information of the person. The gathered product interaction information includes product interaction information gathered by at least one of the one or more first information monitoring devices, and the product interaction information is based upon shopping by the person of one or more first products.

Abstract: Method and systems for shopping in a retail store. The methods and systems include using information monitoring devices to identify a person at a retail store, using the information monitoring devices to gather shopping information of the person at the retail store (including traffic information, product interaction information, and object identification information of the person), analyzing by the system the gathered shopping information to generate and maintain a list of the products that the person retained while shopping, using the information monitoring devices to track the first person to a point-of-sale area of the retail store, in response to the person being tracked to the point-of sale area, interfacing the system with a payment system for payment by the person of the list of the products, and transmitting a receipt to the person after payment.

Abstract: Method and systems for providing customer assistance in a retail store. The methods and systems include using information monitoring devices to identify a person at a retail store, which information includes (a) gathering information of one or more products that the first person retained while shopping at the store, (b) tracking the first person to a point-of-sale area of the retail store, and (c) utilizing the one or more information monitoring devices to identify one or more being-purchased products that the person is providing for purchase at the retail store in the point-of-sale area. The methods and systems further includes comparing the products retained by the person while shopping at the retail store with the one or more being-purchased products, utilizing the real time analysis by the system to select a sales associate, and sending a communication to the sales associate, wherein the sales representative can then directly interact with the first person in response to the communication.

Abstract: Methods for personalized marketing and advertising to a person at a location, such as a retail store. Generally, the methods are for monitoring and analyzing consumer and their purchasing behavior in real-time to drive sales by creating personalized marketing and advertising directed to the consumer.

Abstract: Method and systems for shopping in a retail store. The methods and systems include using information monitoring devices to identify a person at a retail store, using the information monitoring devices to gather shopping information of the person at the retail store (including traffic information, product interaction information, and object identification information of the person), analyzing by the system the gathered shopping information to generate and maintain a list of the products that the person retained while shopping, using the information monitoring devices to track the first person to a point-of-sale area of the retail store, in response to the person being tracked to the point-of sale area, interfacing the system with a payment system for payment by the person of the list of the products, and transmitting a receipt to the person after payment.

Abstract: Systems for monitoring and analyzing behavior in various applications and uses thereof. Generally, the systems (and uses thereof) are for monitoring and analyzing consumer purchasing behavior in real-time to drive sales via engaging digital customer experiences. In embodiments, the disclosed system can include a retail store system that features and includes MAC address tracking, user eye tracking, object identification of goods on shelves, open API, advertising broker rules engine. In addition, the system can include a customer engagement with interactive output displays including displays with demographic intelligence, displays with demographics and MAC—panels throughout store at product, displays with demographics and MAC—single panel or few panels scattered throughout store, automated customer assistance at shelf, customer purchase at shelf.

Abstract: Method for personalized marketing or advertising of products for purchase from retail stores. Generally, the method includes utilizing information monitoring devices to gather shopping activities of the persons, including product interaction information, to obtain an information analysis about the shopping activities of the persons, further includes tracking the persons utilizing information monitoring devices, and further includes providing the persons a communication to a retailer location at which the persons can purchase related products. Such communication to the persons further includes marketing/advertising information regarding the products, coupons regarding the products, promotions regarding related products, purchase options regarding the products.

Abstract: Methods for personalized marketing and advertising to a person at a location, such as a retail store. Generally, the methods are for monitoring and analyzing consumer and their purchasing behavior in real-time to drive sales by creating personalized marketing and advertising directed to the consumer.

Abstract: Systems for monitoring and analyzing behavior in various applications and uses thereof. Generally, the systems (and uses thereof) are for monitoring and analyzing consumer purchasing behavior in real-time to drive sales via engaging digital customer experiences. In embodiments, the disclosed system can include a retail store system that features and includes MAC address tracking, user eye tracking, object identification of goods on shelves, open API, advertising broker rules engine. In addition, the system can include a customer engagement with interactive output displays including displays with demographic intelligence, displays with demographics and MAC—panels throughout store at product, displays with demographics and MAC—single panel or few panels scattered throughout store, automated customer assistance at shelf, customer purchase at shelf.

Abstract: Systems for monitoring and analyzing behavior in various applications and uses thereof. Generally, the systems (and uses thereof) are for monitoring and analyzing consumer purchasing behavior in real-time to drive sales via engaging digital customer experiences. In embodiments, the disclosed system can include a retail store system that features and includes MAC address tracking, user eye tracking, object identification of goods on shelves, open API, advertising broker rules engine. In addition, the system can include a customer engagement with interactive output displays including displays with demographic intelligence, displays with demographics and MAC—panels throughout store at product, displays with demographics and MAC—single panel or few panels scattered throughout store, automated customer assistance at shelf, customer purchase at shelf.

Abstract: Systems for monitoring and analyzing behavior in various applications and uses thereof. Generally, the systems (and uses thereof) are for monitoring and analyzing consumer purchasing behavior in real-time to drive sales via engaging digital customer experiences. In embodiments, the disclosed system can include a retail store system that features and includes MAC address tracking, user eye tracking, object identification of goods on shelves, open API, advertising broker rules engine. In addition, the system can include a customer engagement with interactive output displays including displays with demographic intelligence, displays with demographics and MAC—panels throughout store at product, displays with demographics and MAC—single panel or few panels scattered throughout store, automated customer assistance at shelf, customer purchase at shelf.

Abstract: Systems for monitoring and analyzing behavior in various applications and uses thereof. Generally, the systems (and uses thereof) are for monitoring and analyzing consumer purchasing behavior in real-time to drive sales via engaging digital customer experiences. In embodiments, the disclosed system can include a retail store system that features and includes MAC address tracking, user eye tracking, object identification of goods on shelves, open API, advertising broker rules engine. In addition, the system can include a customer engagement with interactive output displays including displays with demographic intelligence, displays with demographics and MAC-panels throughout store at product, displays with demographics and MAC-single panel or few panels scattered throughout store, automated customer assistance at shelf, customer purchase at shelf.

Abstract: Systems for monitoring and analyzing behavior in various applications and uses thereof. Generally, the systems (and uses thereof) are for monitoring and analyzing consumer purchasing behavior in real-time to drive sales via engaging digital customer experiences. In embodiments, the disclosed system can include a retail store system that features and includes MAC address tracking, user eye tracking, object identification of goods on shelves, open API, advertising broker rules engine. In addition, the system can include a customer engagement with interactive output displays including displays with demographic intelligence, displays with demographics and MAC—panels throughout store at product, displays with demographics and MAC—single panel or few panels scattered throughout store, automated customer assistance at shelf, customer purchase at shelf.

Abstract: In accordance with an embodiment, described herein is a system and method for dynamically converting data manipulation language (DML) code embedded in a mainframe application rehosted in a mainframe rehosting platform. The DML code can include SQL scripts with SQL statements, and standalone SQL statements for accessing a source database in a mainframe computer. The DML code can be converted programmatically and immediately before the DML code is to be executed during the execution of the rehosted mainframe application. A database access script converter in an application runtime of the mainframe rehosting platform can load a database schema of a target database and a set of conversion rules, parse the rehosted mainframe application to identify the DML code, and convert each SQL statement based on one or more conversion rules and the database schema, for execution against the target database.

Abstract: Systems and methods for detecting and preventing cheating in a location-based game are provided. In particular, a server-side statistical cheat detection algorithm can be implemented upon receiving a player request to perform a game action. A given dataset describing the respective times and locations of previous game events performed by the player can be analyzed to determine a probability that such game events represent legitimate gameplay. The determined probability can affect whether the player-requested game action is effectuated or can influence a number of points awarded for completion of the game action. An example system includes a host server and a client device in communication over a network.

Abstract: Systems for monitoring and analyzing behavior in various applications and uses thereof. Generally, the systems (and uses thereof) are for monitoring and analyzing consumer purchasing behavior in real-time to drive sales via engaging digital customer experiences. In embodiments, the disclosed system can include a retail store system that features and includes MAC address tracking, user eye tracking, object identification of goods on shelves, open API, advertising broker rules engine. In addition, the system can include a customer engagement with interactive output displays including displays with demographic intelligence, displays with demographics and MAC—panels throughout store at product, displays with demographics and MAC—single panel or few panels scattered throughout store, automated customer assistance at shelf, customer purchase at shelf.