Abstract: A method, apparatus and computer program product are provided for generation of analytic data. An example embodiment includes a method for identifying trending items based on electronically generated velocity metrics derived from transaction data.

Abstract: Provided herein are systems, methods and computer readable media for forecasting demand. An example method comprises generating a virtual offer for one or more combinations of a category or sub-category, location, and price range, accessing consumer data comprising one or more users and user data related to each of the one or more users, calculating a probability that a particular user would buy a particular offer in a particular time frame for at least a portion of the plurality of users and for each of the virtual offers, and determining an estimated number of units of to be sold for at least a portion of the one or more virtual offers as a function of at least the probability associated with each of the one or more virtual offers.

Abstract: A method, apparatus and computer program product are provided for generation of analytic data. An example embodiment includes a method for identifying trending items based on electronically generated velocity metrics derived from transaction data.

Abstract: Provided herein are systems, methods and computer readable media for forecasting demand. An example method comprises generating a virtual offer for one or more combinations of a category or sub-category, location, and price range, accessing consumer data comprising one or more users and user data related to each of the one or more users, calculating a probability that a particular user would buy a particular offer in a particular time frame for at least a portion of the plurality of users and for each of the virtual offers, and determining an estimated number of units of to be sold for at least a portion of the one or more virtual offers as a function of at least the probability associated with each of the one or more virtual offers.

Abstract: A method, apparatus, and computer program product are disclosed for updating a structure database. The method includes accessing a corpus of machine readable text generated based on a plurality of promotions, wherein each of the plurality of promotions comprises at least one promotion option associated with at least one service, and extracting features from the promotion options, the features being mapped to services associated with respective promotion options from which the features are extracted. The method further includes identifying one or more components associated with the extracted features, tagging, using a processor, each promotion option with every component associated with at least one feature of the promotion option, and updating a structure database using the tagged promotion options. A corresponding apparatus and computer program product are also provided.

Abstract: A method, apparatus, and computer program product are disclosed for generating a promotion structure. The method includes receiving an indication of a service offered by a merchant and presenting one or more tiles based on one or more promotion option structures, wherein each tile includes at least one option and a descriptor associated with each included option. The method further includes receiving one or more selections, and generating, by a processor, the promotion structure based on the received one or more selections. A corresponding apparatus and computer program product are also provided.

Abstract: A method, apparatus, and computer program product are disclosed for generating a promotion structure. The method includes receiving an indication of a service offered by a merchant and presenting one or more tiles based on one or more promotion option structures, wherein each tile includes at least one option and a descriptor associated with each included option. The method further includes receiving one or more selections, and generating, by a processor, the promotion structure based on the received one or more selections. A corresponding apparatus and computer program product are also provided.

Abstract: Various methods are provided for intelligently modeling a diverse promotion portfolio. One example method may comprise utilizing an analytical model to intelligently generate a proposed promotion portfolio of available promotions by performing an iterative process in which a determination is made as to whether the proposed promotion portfolio that is generated projects a predicted revenue that at least meets the target revenue over the predefined period of time for the geographic area, in an instance in which the determined proposed promotion portfolio value fails to meet the target revenue over the predefined period of time for the geographic area, repeating the iterative process and altering the weighting values, in an instance in which the determined proposed promotion portfolio value at least meets the target revenue over the predefined period of time for the geographic area, ending iterative process, and generating the inventory of promotions in accordance with the proposed promotion portfolio.

Abstract: Provided herein are systems, methods and computer readable media for forecasting demand. An example method comprises generating a virtual offer for one or more combinations of a category or sub-category, location, and price range, accessing consumer data comprising one or more users and user data related to each of the one or more users, calculating a probability that a particular user would buy a particular offer in a particular time frame for at least a portion of the plurality of users and for each of the virtual offers, and determining an estimated number of units of to be sold for at least a portion of the one or more virtual offers as a function of at least the probability associated with each of the one or more virtual offers.

Abstract: A method, apparatus, and computer program product are disclosed for updating a structure database. The method includes accessing a corpus of machine readable text generated based on a plurality of promotions, wherein each of the plurality of promotions comprises at least one promotion option associated with at least one service, and extracting features from the promotion options, the features being mapped to services associated with respective promotion options from which the features are extracted. The method further includes identifying one or more components associated with the extracted features, tagging, using a processor, each promotion option with every component associated with at least one feature of the promotion option, and updating a structure database using the tagged promotion options. A corresponding apparatus and computer program product are also provided.

Abstract: Provided herein are systems, methods and computer readable media for identifying supply. An example for identifying merchants for fulfilling demand comprises receiving one or more virtual offers and an associated quantity of at least a portion of the one or more virtual offers, wherein the one or more virtual offers are representative of a residual demand for a geographic area, assigning a virtual offer of the one or more of the virtual offers to one or more merchants in an instance in which a supply source of the one or more merchants is identified as able to supply at least a portion of the associated quantity of the virtual offer, and determining a priority score for the one or more merchants, wherein the one or more merchants are rankable based on the priority score.

Abstract: Provided herein are systems, methods and computer readable media for forecasting demand. An example method comprises generating a virtual offer for one or more combinations of a category or sub-category, location, and price range, accessing consumer data comprising one or more users and user data related to each of the one or more users, calculating a probability that a particular user would buy a particular offer in a particular time frame for at least a portion of the plurality of users and for each of the virtual offers, and determining an estimated number of units of to be sold for at least a portion of the one or more virtual offers as a function of at least the probability associated with each of the one or more virtual offers.

Abstract: Provided herein are systems, methods and computer readable media for providing sales pipeline automation. An example method comprises calculating a forecasted demand, the forecasted demand comprising at least one or more virtual offers and a demanded quantity of at least a portion of the one or more virtual offers, identifying one or more merchants, wherein the one or more merchants are identified as able to supply at least a portion of the residual demand, assigning the one or more merchants to one or more sales resources in accordance with at least a calculated sales value of the one or more merchants.

Abstract: A method, apparatus, and computer program product are disclosed for updating a structure database. The method includes accessing a corpus of machine readable text generated based on a plurality of promotions, wherein each of the plurality of promotions comprises at least one promotion option associated with at least one service, and extracting features from the promotion options, the features being mapped to services associated with respective promotion options from which the features are extracted. The method further includes identifying one or more components associated with the extracted features, tagging, using a processor, each promotion option with every component associated with at least one feature of the promotion option, and updating a structure database using the tagged promotion options. A corresponding apparatus and computer program product are also provided.

Abstract: Provided herein are systems, methods and computer readable media for forecasting demand. An example method comprises generating a virtual offer for one or more combinations of a category or sub-category, location, and price range, accessing consumer data comprising one or more users and user data related to each of the one or more users, calculating a probability that a particular user would buy a particular offer in a particular time frame for at least a portion of the plurality of users and for each of the virtual offers, and determining an estimated number of units of to be sold for at least a portion of the one or more virtual offers as a function of at least the probability associated with each of the one or more virtual offers.

Abstract: Techniques to facilitate enhanced addressing of local and network resources from a computing system are provided herein. In one implementation, a method of operating an object-based memory management unit on a computing system to unify addressing of local and network resources includes maintaining a mapping of virtual addresses to local addresses and network addresses, and identifying resource requests that use the virtual addresses. The method further provides handling the resource requests per the mapping, and wherein a given request of the resource requests implicates a network resource, accessing the network resource associated with the given request over at least the network.

Abstract: Techniques to facilitate enhanced addressing of local and network resources from a computing system are provided herein. In one implementation, a method of configuring an object memory management unit (OMMU) for a computing system includes transferring a request to at least one network configuration resource for OMMU configuration information, and receiving the OMMU configuration information from the at least one network resource. The method further comprises, based on the OMMU configuration information, generating a mapping of virtual addresses in the computing system to local addresses that address local resource of the computing system and network addresses that address network resources external to the computing system over at least a network.

Abstract: A method, apparatus, and computer program product are disclosed to score elements of a structure database. The method includes accessing a structure database comprising one or more promotion options, one or more promotion option structures, and one or more promotion structures, wherein each promotion structure comprises one or more of the promotion option structures, each promotion option structure corresponds to one or more of the promotion options, and each promotion option is associated with at least one service. The method further includes generating a promotion option score for each promotion option in the structure database, generating, by a processor, a promotion option structure score for each promotion option structure in the structure database, and generating a promotion structure score for each promotion structure in the structure database. A corresponding apparatus and computer program product are also provided.

Abstract: A method, apparatus, and computer program product are disclosed for updating a structure database. The method includes accessing a corpus of machine readable text generated based on a plurality of promotions, wherein each of the plurality of promotions comprises at least one promotion option associated with at least one service, and extracting features from the promotion options, the features being mapped to services associated with respective promotion options from which the features are extracted. The method further includes identifying one or more components associated with the extracted features, tagging, using a processor, each promotion option with every component associated with at least one feature of the promotion option, and updating a structure database using the tagged promotion options. A corresponding apparatus and computer program product are also provided.

Abstract: Techniques to facilitate enhanced addressing of local and network resources from a computing system are provided herein. In one implementation, a method of operating an object-based memory management unit on a computing system to unify addressing of local and network resources includes maintaining a mapping of virtual addresses to local addresses and network addresses, and identifying resource requests that use the virtual addresses. The method further provides handling the resource requests per the mapping, and wherein a given request of the resource requests implicates a network resource, accessing the network resource associated with the given request over at least the network.