Abstract: Provided are systems, methods, and computer-program products for a proxy network that can determine, for a set of objects, an initial differential, where the initial differential is determined using a rules data store of a host network. The proxy network can further determine a supplemental differential for the set of objects. The proxy network can further determine a final differential that is the sum of the initial differential and the supplemental differential. The proxy network can further determine a final sum for the set of objects that is the object value less the final differential. The proxy network can further generate an outbound data packet that includes values corresponding to the set of objects and the final sum. When the host network receives the outbound data packet, the host network can modify an object data store using the values corresponding to the set of objects and the final sum.

Abstract: Provided are systems, methods, and computer-program products for a proxy network that can determine, for a set of objects, an initial differential, where the initial differential is determined using a rules data store of a host network. The proxy network can further determine a supplemental differential for the set of objects. The proxy network can further determine a final differential that is the sum of the initial differential and the supplemental differential. The proxy network can further determine a final sum for the set of objects that is the object value less the final differential. The proxy network can further generate an outbound data packet that includes values corresponding to the set of objects and the final sum. When the host network receives the outbound data packet, the host network can modify an object data store using the values corresponding to the set of objects and the final sum.

Abstract: Systems and methods for generating dynamically definable gift objects are provided. A gift service may train a gift object algorithm and a gift selection algorithm using sample datasets. A gift request may be received and the gift service may generate a gift object with an undefined set of gift object using the gift object algorithm. A redemption request may be received and the gift service may generate a custom set of gift selection options using the gift selection algorithm in response to the redemption request. A selection from the custom set of gift selection options may be received and the gift object algorithm and the gift selection algorithm may be updated based on the redemption request, the custom set of gift selection options, and the selection.

Abstract: Systems and methods for predictive gift subscriptions are provided. A gift subscription service may store a gift subscription and a profile associated with a gift recipient. The gift subscription service may then identify a time to send a gift to the gift recipient and associate a computational model with the gift recipient and the profile. When the gift subscription service determines a change in the profile, the gift subscription service may then update the computational model associated with the gift recipient in real-time by applying a machine learning algorithm to the change in the profile and use the updated computation model to formulate a prediction for the gift recipient that may then be used to identify a set of gifts to present to the gift recipient. The gift subscription service may then present the set of gifts to the gift recipient.

Abstract: Systems and methods describe providing alternate redemption options. One aspect involves receiving an order, analyzing consumer information using a redemption options algorithm to obtain redemption options including an alternate redemption option, providing an initial gift notification to a recipient device based on the gift order, the initial gift notification including the alternate redemption option, receiving an alternate redemption request, transmitting an alternate redemption information request, receiving alternate redemption information, adding alternate redemption information to the historical consumer information to obtain updated historical consumer information, training the redemption options algorithm using the updated historical consumer information to obtain an updated redemption options algorithm, and performing an alternate redemption action set using the alternate redemption information.

Abstract: Systems and methods for dynamic redemption are provided. A redemption request associated with an online gifting platform may be received, and one or more conditions applicable to the redemption request may be dynamically determined in real-time. Further, a plurality of gifting entities may be dynamically determined to be associated with the applicable conditions in real-time. A menu display of options corresponding to the plurality of gifting entities may be dynamically generated. A selection regarding one of the displayed options may be received, and portions of the selected option may be allocated across the plurality of gifting entities. Data regarding the selected option and one or more of the allocated portions may be routed to the plurality of gifting entities.

Abstract: Systems and methods for determining whether a transaction between a consumer and a retailer qualifies for the consumer to receive an offer to send a gift received as a result of the transaction to a separate recipient. A gifting service system receives order confirmation details associated with the transaction, and assesses a variety of information from various sources to determine if the transaction qualifies for the offer. If so, the offer to send a gift is presented to the consumer. Once the consumer accepts the offer, the gifting service system obtains various selections and items of information, and sends a gift notification to an intended recipient. The gifting service system interacts with the recipient to obtain various selections and items of information to facilitate delivery of the gift to the recipient.

Abstract: Systems and methods for generating dynamically definable gift objects are provided. A gift service may train a gift object algorithm and a gift selection algorithm using sample datasets. A gift request may be received and the gift service may generate a gift object with an undefined set of gift object using the gift object algorithm. A redemption request may be received and the gift service may generate a custom set of gift selection options using the gift selection algorithm in response to the redemption request. A selection from the custom set of gift selection options may be received and the gift object algorithm and the gift selection algorithm may be updated based on the redemption request, the custom set of gift selection options, and the selection.

Abstract: Systems and methods for gift selection, attribution, and distribution are provided. The systems and methods may detect a gifting signal that is associated with an event corresponding to a recipient. The systems and methods can provide an option to generate a gift for the recipient. If the option is selected, the systems and methods can identify a set of product criteria associated with the event and the recipient. Based on the criteria, the systems and methods can obtain product selection options for the gift and provide these options to a gift sender. In response to a selection from the gift sender, the systems and methods can generate the gift, which includes a redemption option for the selection.

Abstract: Systems and methods for predictive gift subscriptions are provided. A gift subscription service may store a gift subscription and a profile associated with a gift recipient. The gift subscription service may then identify a time to send a gift to the gift recipient and associate a computational model with the gift recipient and the profile. When the gift subscription service determines a change in the profile, the gift subscription service may then update the computational model associated with the gift recipient in real-time by applying a machine learning algorithm to the change in the profile and use the updated computation model to formulate a prediction for the gift recipient that may then be used to identify a set of gifts to present to the gift recipient. The gift subscription service may then present the set of gifts to the gift recipient.

Abstract: Provided are systems, methods, and computer-program products for a proxy network that can determine, for a set of objects, an initial differential, where the initial differential is determined using a rules data store of a host network. The proxy network can further determine a supplemental differential for the set of objects. The proxy network can further determine a final differential that is the sum of the initial differential and the supplemental differential. The proxy network can further determine a final sum for the set of objects that is the object value less the final differential. The proxy network can further generate an outbound data packet that includes values corresponding to the set of objects and the final sum. When the host network receives the outbound data packet, the host network can modify an object data store using the values corresponding to the set of objects and the final sum.

Abstract: Systems and methods for generating dynamically definable gift objects are provided. A gift service may train a gift object algorithm and a gift selection algorithm using sample datasets. A gift request may be received and the gift service may generate a gift object with an undefined set of gift object using the gift object algorithm. A redemption request may be received and the gift service may generate a custom set of gift selection options using the gift selection algorithm in response to the redemption request. A selection from the custom set of gift selection options may be received and the gift object algorithm and the gift selection algorithm may be updated based on the redemption request, the custom set of gift selection options, and the selection.

Abstract: Systems and methods for gift selection, attribution, and distribution are provided. The systems and methods may detect a gifting signal that is associated with an event corresponding to a recipient. The systems and methods can provide an option to generate a gift for the recipient. If the option is selected, the systems and methods can identify a set of product criteria associated with the event and the recipient. Based on the criteria, the systems and methods can obtain product selection options for the gift and provide these options to a gift sender. In response to a selection from the gift sender, the systems and methods can generate the gift, which includes a redemption option for the selection.

Abstract: Systems and methods for predictive gift subscriptions are provided. A gift subscription service may store a gift subscription and a profile associated with a gift recipient. The gift subscription service may then identify a time to send a gift to the gift recipient and associate a computational model with the gift recipient and the profile. When the gift subscription service determines a change in the profile, the gift subscription service may then update the computational model associated with the gift recipient in real-time by applying a machine learning algorithm to the change in the profile and use the updated computation model to formulate a prediction for the gift recipient that may then be used to identify a set of gifts to present to the gift recipient. The gift subscription service may then present the set of gifts to the gift recipient.

Abstract: Provided are systems, methods, and computer-program products for a proxy network that can determine, for a set of objects, an initial differential, where the initial differential is determined using a rules data store of a host network. The proxy network can further determine a supplemental differential for the set of objects. The proxy network can further determine a final differential that is the sum of the initial differential and the supplemental differential. The proxy network can further determine a final sum for the set of objects that is the object value less the final differential. The proxy network can further generate an outbound data packet that includes values corresponding to the set of objects and the final sum. When the host network receives the outbound data packet, the host network can modify an object data store using the values corresponding to the set of objects and the final sum.

Abstract: Systems and methods for gift selection, attribution, and distribution are provided. The systems and methods may detect a gifting signal that is associated with an event corresponding to a recipient. The systems and methods can provide an option to generate a gift for the recipient. If the option is selected, the systems and methods can identify a set of product criteria associated with the event and the recipient. Based on the criteria, the systems and methods can obtain product selection options for the gift and provide these options to a gift sender. In response to a selection from the gift sender, the systems and methods can generate the gift, which includes a redemption option for the selection.

Abstract: Systems and methods for gift selection, attribution, and distribution are provided. The systems and methods may detect a gifting signal that is associated with an event corresponding to a recipient. The systems and methods can provide an option to generate a gift for the recipient. If the option is selected, the systems and methods can identify a set of product criteria associated with the event and the recipient. Based on the criteria, the systems and methods can obtain product selection options for the gift and provide these options to a gift sender. In response to a selection from the gift sender, the systems and methods can generate the gift, which includes a redemption option for the selection.

Abstract: Provided are systems, methods, and computer-program products for a proxy network that can determine, for a set of objects, an initial differential, where the initial differential is determined using a rules data store of a host network. The proxy network can further determine a supplemental differential for the set of objects. The proxy network can further determine a final differential that is the sum of the initial differential and the supplemental differential. The proxy network can further determine a final sum for the set of objects that is the object value less the final differential. The proxy network can further generate an outbound data packet that includes values corresponding to the set of objects and the final sum. When the host network receives the outbound data packet, the host network can modify an object data store using the values corresponding to the set of objects and the final sum.

Abstract: Provided are systems, methods, and computer-program products for a proxy network that can determine, for a set of objects, an initial differential, where the initial differential is determined using a rules data store of a host network. The proxy network can further determine a supplemental differential for the set of objects. The proxy network can further determine a final differential that is the sum of the initial differential and the supplemental differential. The proxy network can further determine a final sum for the set of objects that is the object value less the final differential. The proxy network can further generate an outbound data packet that includes values corresponding to the set of objects and the final sum. When the host network receives the outbound data packet, the host network can modify an object data store using the values corresponding to the set of objects and the final sum.

Abstract: Systems and methods for gift selection, attribution, and distribution are provided. The systems and methods may detect a gifting signal that is associated with an event corresponding to a recipient. The systems and methods can provide an option to generate a gift for the recipient. If the option is selected, the systems and methods can identify a set of product criteria associated with the event and the recipient. Based on the criteria, the systems and methods can obtain product selection options for the gift and provide these options to a gift sender. In response to a selection from the gift sender, the systems and methods can generate the gift, which includes a redemption option for the selection.