Abstract: Various systems, apparatuses, and methods are described herein for enabling secure communication protocols for proximity-based validation in distributed multi-device frameworks. Distributed multi-device frameworks present unique challenges when it comes to ensuring that user communications between various devices and over variable-security communication mediums remain secure. To address the noted challenges, some embodiments of the present invention provide for an apparatus configured to establish secure communications with a central system using wallet identifying data that is configured to secure data transfers between the apparatus and the central system. In accordance with some embodiments, devices communicating on proposed networks are arranged in a manner and using a network architecture that is configured to optimize overall network security and system integrity.

Abstract: Techniques for providing improved optical character recognition (OCR) for receipts are discussed herein. Some embodiments may provide for a system including one or more servers configured to perform receipt image cleanup, logo identification, and text extraction. The image cleanup may include transforming image data of the receipt by using image parameters values that optimize the logo identification, and performing logo identification using a comparison of the image data with training logos associated with merchants. When a merchant is identified, a second image clean up may be performed by using image parameter values optimized for text extraction. A receipt structure may be used to categorize the extracted text. Improved OCR accuracy is also achieved by applying on format rules of the receipt structure to the extracted text.

Abstract: Certain embodiments provide a computer-executed method for generating a future sales estimate for an item. The method includes programmatically accessing, from a dataset via a network device, an inventory residence time period of an item. The method also includes programmatically accessing, from the dataset via the network device, prior performance data associated with the item. The method also includes programmatically executing an inventory valuation engine to generate a future sales estimate for the item based on the inventory residence time period and the prior performance data. The method further includes executing a notification generation engine to adjust a notification policy defining a frequency or other characteristic of electronic marketing communications indicating the item transmitted to consumer devices based on the future sales estimate.

Abstract: Systems, apparatus, methods, and non-transitory media for providing user interfaces are discussed herein. Some examples may include an apparatus configured to determine one or more additional items based on relevance data related to a primary purchase item that is associated with a user profile, generate a user interface, determine at least one selected item from the one or more additional items, receive an expiration signal indicating expiration of an automatic completion time period, and execute an automatic purchase completion transition routine associated with the at least one selected item in response to receiving the expiration signal.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for recommending contextually relevant promotions to consumers in order to facilitate their discovery of promotions that they are likely to purchase from a promotion and marketing service.

Abstract: Embodiments of the present disclosure provide methods, systems, and apparatuses for computing a channel incrementality ratio using a machine learning model.

Abstract: A method, apparatus and computer program products are provided for facilitating the application of a ledger, or data structure in general, to programmatically identify duplicate data objects, such as those indicative of card-linked offers provided against a single transaction, and more specifically, to the utilization of a global ledger to identify stacking of card-linked offers. One example method includes receiving an indication of an interaction between two devices, generating distributed ledger data, the distributed ledger data indicative of a previous interaction between the primary device and an entity, causing transmission of the distributed ledger data to each of a plurality of nodes in a offerer network, after a predetermined amount of time, causing performance of a comparison within the distributed ledger data to determine that the entity and a second entity comprise corresponding data objects, applying a rule to generate an adjusted value.

Abstract: Systems and methods are presented for managing electronic promotion correspondence sent to consumers. A system may manage electronic promotion correspondence sent on a per-consumer basis. The system may access multiple electronic promotion correspondences generated for a particular consumer, select an electronic promotion correspondence from among the multiple electronic promotion correspondences, and determine to send the electronic promotion correspondence to the consumer according to any number of factors. The system may determine a target time to send the first electronic promotion correspondence to the consumer and selected communication channel to send the electronic promotion correspondence through.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for recommending contextually relevant promotions to consumers in order to facilitate their discovery of promotions that they are likely to purchase from a promotion and marketing service.

Abstract: A method, apparatus, and computer program product are disclosed to improve selection of promotion pricing parameters. The method may determine one or more promotion pricing parameters for a promotion that is offered by a promotion and marketing service. The method includes generating one or more predictive models based on historical promotion performance data and generating a revenue equation using the one or more predictive models. The revenue equation provides an estimate of a revenue received by the promotion and marketing service based on the one or more predictive models. The method further includes determining an estimated revenue using the revenue equation based on one or more input sets of promotion pricing parameters provided as input to the revenue equation, and selecting at least one of the input sets of promotion pricing parameters for the promotion based on the estimated revenue. A corresponding apparatus and computer program product are also provided.

Abstract: Systems, apparatus, methods, and computer program products are provided for optimized and effective leading messages, which may be an email subject that may provoke a consumer to access the body portion of an email message. A system may include circuitry configured to programmatically determine a predicted access rate for a leading message when the leading message is provided as a portion of a promotional message. Circuitry may be configured to track historical data indicating the access rates of leading messages and/or leading message terms. The circuitry may be configured to leverage the historical data to determine predicted access rates for leading messages, such as based at least in part on historical access rates associated with one or more leading message terms of the leading message.

Abstract: Provided herein are systems, methods and computer readable media for programmatically generating and/or revising promotions for a provider as well as generating and providing analytics data regarding currently offered promotions in real-time. In providing such functionality, the system can be configured to, for example, monitor and analyze various promotions, including current promotions and analytics data about promotion-related purchases, that enable the system to determine the relative successfulness of a promotion for a provider and/or category of provider. Upon determining what has been more successful or is expected to be a more successful promotion for a provider, the system can present the promotion to the provider for approval and/or make the promotion to consumers programmatically.

Abstract: Methods, apparatus, and computer program products are disclosed for providing an impression to a consumer based on consumer preferences for future promotions. The methods include accessing consumer preferences for future promotions that specify at least one promotion request relating to a provider or a promotion category, and one or more promotion qualities, analyzing a plurality of promotions to identify those that satisfy the consumer preferences, and providing an impression to the consumer indicating the availability of the identified promotions. In embodiments, the methods can be used to identify promotions that are combinable with additional promotions offered by the same provider. Corresponding apparatus and computer program products are also provided.

Abstract: Methods, apparatuses, and computer program products are disclosed for generating an augmented reality interface, for example for provision of promotions. Some example embodiments receive camera data and location data associated with a consumer device; receive map data based on the location data; identify at least a provider location in a field of view based on the map data; determine a number of consumer devices within a proximity radius of the provider location; determine the number of consumer devices satisfies a predetermined number of consumer devices; determine, based on the determining that the number of consumer devices within the proximity radius satisfies the predetermined number of consumer devices, a promotion for the provider location; and cause display of an impression of the promotion in an augmented reality displayed via an interface of the consumer device.

Abstract: Embodiments provide a computer-executable method, computer system and non-transitory computer-readable medium for programmatically generating an association among two or more purchase categories based on purchase data of a plurality of consumers. The method includes programmatically accessing, from a dataset via a network device, prior purchase data associated with purchases of a plurality of commercial objects by a plurality of consumers. The method also includes programmatically identifying a plurality of categories associated with the plurality of commercial objects. The method also includes, for each consumer in the plurality of consumers, programmatically generating a total number of purchases by the consumer in each category in the plurality of categories.

Abstract: Provided herein are systems, methods and computer readable media for consumer monitor and tracking. An example method may include receiving client device ID and client device profile data, comparing client device ID and client device profile data to a plurality of known client device versions, generating an updated known client device version in an instance in which the client device ID correlates to at least one of the plurality of known client device versions and the client device profile data does not correlate to the at least one of the plurality of known client device versions and generating a new known client device version in an instance in which the client device ID does not correlate to at least one of the plurality of known client device versions.

Abstract: A method, apparatus and computer program product are provided for providing auto-replenishment of an inventory of promotions. Auto-replenishment amounts and dates may be determined based on a variety of factors including current inventory, outstanding promotions, redemption ratios and redemption rates. Redemption ratios and redemption rates may be characterized based on provider information, consumer information, and/or promotion information. Auto-replenishment may result in a smoothed redemption curve and optimal impact to the provider.

Abstract: In general, examples of the present disclosure provide systems, methods and computer readable media for data record compression using graph-based techniques. For example, an example method includes retrieving a compound data record list that includes compound data records, identifying a unique second component value set that includes unique second component values, determining a data record position list based at least in part on at least one data record position within the compound data record list, and generating a data record encoding of the compound data records.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for dynamically augmenting relevance rankings using data from external ratings sources.

Abstract: Various methods are provided for facilitating heterogeneous database migration. One example method may comprise accessing a migration configuration file, the migration configuration file comprising information indicative of at least a source database type of a source database, connection information of accessing the source database, a destination database type of a destination database, and connection information for accessing the destination database, generating configuration data based on the source database type and the destination database type to generate a mapping of a source database table stored within the source database to a destination database table stored within the destination database, and generating a query for execution on the source database enabling data migration from the source database to the destination database.