Promoted offers

A non-transitory machine-readable medium having instructions embodied thereon, the instructions executable by a processor of a machine to perform operations comprising:

• monitoring offer acceptance activity of a first entity;
• determining from the offer acceptance activity a first likelihood that the first entity will accept a future offer;
• inputting the offer acceptance activity and the first likelihood as training data for a machine learning model;
• training the machine learning model with the training data;
• receiving an offer associated with an acceptance window from a second entity for a first item associated with the first entity, the first item having an associated characteristic;
• determining, using the machine learning model as trained using the training data, a second likelihood that the first entity will accept the offer;
• adjusting, as an adjusted acceptance window, the acceptance window based on the second likelihood;
• determining that the adjusted acceptance window has closed;
• searching for a second item associated with a third entity based on determining that the adjusted acceptance window has closed, the second item having the associated characteristic;
• and
• sending a notification to the third entity based on determining that the adjusted acceptance window has closed, the notification including:
• the offer from the second entity;
• and
• an option to activate the notification;
• receiving an indication that the notification has been activated;
• presenting to the third entity a user interface in response to receiving the indication that the notification has been activated, the user interface including an option to submit an offer by the third entity for the second item;
• receiving a submission of the offer by the third entity for the second item at the user interface indicative of the third entity selecting the option to submit;
• and
• sending the offer for the second item to the second entity on behalf of the third entity.

A device, comprising:

• a processor;
• and
• memory including instructions that, when executed by the processor, cause the device to perform operations including:
• monitoring offer acceptance activity of a first entity;
• determining from the offer acceptance activity a first likelihood that the first entity will accept a future offer;
• inputting the offer acceptance activity and the first likelihood as training data for a machine learning model;
• training the machine learning model with the training data;
• receiving an offer associated with an acceptance window from a second entity for a first item associated with the first entity, the first item having an associated characteristic;
• determining, using the machine learning model as trained using the training data, a second likelihood that the first entity will accept the offer;
• adjusting, as an adjusted acceptance window, the acceptance window based on the second likelihood;
• determining that the adjusted acceptance window has closed;
• searching for a second item associated with a third entity based on determining that the adjusted acceptance window has closed, the second item having the associated characteristic;
• and
• sending a notification to the third entity based on determining that the adjusted acceptance window has closed, the notification including:
• the offer from the second entity;
• and
• an option to activate the notification;
• receiving an indication that the notification has been activated;
• presenting to the third entity a user interface in response to receiving the indication that the notification has been activated, the user interface including an option to submit an offer by the third entity for the second item;
• receiving a submission of the offer by the third entity for the second item at the user interface indicative of the third entity selecting the option to submit;
• and
• sending the offer for the second item to the second entity on behalf of the third entity.