Adaptive scheduling of electronic messaging based on predictive consumption of the sampling of items via a networked computing platform

An apparatus comprising:

• a memory including executable instructions;
• and
• a processor, responsive to executing the instructions, the memory and the processor disposed in an adaptive distribution platform, the processor being configured to execute instructions to facilitate adaptive scheduling services including replenishment services for multiple networked entities, the adaptive distribution platform being configured to cause generation of hybrid web pages that integrates interface portions originating at the adaptive distribution platform and other interface portions originating at a networked entity associated with one or more merchant computing systems, the processor further being configured to:
• identify a subscribed item for delivery to a shipping address in accordance with the replenishment services of the adaptive distribution platform, the subscribed item being associated with user characteristic data configured to identify at least one or more of a shipping address, a payment instrument identifier, and an electronic account identifier;
• execute instructions to implement an information feedback predictor module configured to analyze the user characteristic data to identify an item characteristic associated with the subscribed item as a historic purchase, wherein automatically selecting by the information feedback predictor module the replica as the sample of the item comprises executing instructions to apply machine learning or deep learning algorithms to detect patterns or classifications among datasets of user and items attribute data;
• automatically select by the information feedback predictor module a replica as a sample of an item for delivery to a location associated with the shipping address, the replica being selected as a function of identifying the item characteristic of the item associated with the subscribed item;
• predict at a computing device a date of consumption of the replica as the sample to form a predicted date of consumption as a function of the item characteristic to form a predicted date of consumption;
• generate data to cause shipment of the replica and the subscribed item to the location associated with the shipping address;
• generate automatically a communication channel with a mobile computing device;
• predict automatically a time at which to generate an electronic message to include a subset of data to solicit feedback regarding the replica relative to the predicted date of consumption;
• cause presentation of a user interface at the mobile computing device based on the subset of data to solicit the feedback, the user interface structured to include at least a first user interface portion configured to activate a first user input to purchase the item and a second user interface portion configured to activate a second user input to adjust an interval of time in which to solicit the feedback;
• and
• receive data representing the feedback regarding the replica that includes a request to either purchase the item or adjust the interval of time in which to solicit the feedback, or both.