Systems and methods for dynamic post-transaction orders and redemption

A system, comprising:

• one or more processors;
• and
• memory storing thereon instructions that, as a result of being executed by the one or more processors, cause the system to:
• identifying, by a gifting service system, order confirmation details for a completed transaction;
• performing an analysis using the order confirmation details and sender information;
• selecting one or more sender gift options that include one or more partner products associated with a retailer system, wherein the selection is performed by a send offer analysis algorithm of a machine learning system of the gifting service system, and wherein the send offer analysis algorithm uses order details to dynamically predict gift options likely to result in a gift action;
• receiving send information, wherein the send information includes a gift selection and a recipient identifier;
• transmitting a gift notification based on the recipient identifier, wherein the gift notification includes one or more recipient gift options;
• receiving one or more recipient gift selections associated with the one or more recipient gift options;
• performing, by the gifting service system, the gift action based on the one or more recipient gift selections;
• updating the send offer analysis algorithm using the send information and the gift selection as training data for updating the send offer analysis algorithm;
• and
• dynamically updating the send offer analysis algorithm wherein dynamically updating includes continuously training the send offer analysis algorithm over time to improve predictive accuracy using confirmation details, product data, or sender data, wherein the sender data includes data associated with purchases for which an offer to send a gift was provided to a consumer.

A non-transitory, computer-readable storage medium storing thereon executable instructions that, as a result of being executed by a computer system, cause the computer system to:

• identify, by a gifting service system including one or more processors, order confirmation details for a completed transaction;
• perform an analysis using the order confirmation details and sender information;
• select one or more sender gift options that include one or more partner products associated with a retailer system, wherein the selection is performed by a send offer analysis algorithm of a machine learning system of the gifting service system, and wherein the send offer analysis algorithm uses order details to dynamically predict gift options likely to result in a gift action;
• receive send information, wherein the send information includes a gift selection and a recipient identifier;
• transmit a gift notification based on the recipient identifier, wherein the gift notification includes one or more recipient gift options;
• receive one or more recipient gift selections associated with the one or more recipient gift options;
• perform, by the gifting service system, the gift action based on the one or more recipient gift selections;
• update the send offer analysis algorithm using the send information and gift selection as training data for updating the send offer analysis algorithm;
• and
• dynamically update the send offer analysis algorithm wherein dynamically updating includes continuously training the send offer analysis algorithm over time to improve predictive accuracy using confirmation details, product data, or sender data, wherein the sender data includes data associated with purchases for which an offer to send a gift was provided to a consumer.