Predictive product availabililty for grocery delivery

A non-transitory machine-readable storage medium that provides instructions that, if executed by a processor, are configurable to cause said processor to perform operations comprising:

• determining, at a server, a shopping location from which a grocery product order will be fulfilled;
• determining, at the server, a future delivery window during which the grocery product order will be fulfilled;
• generating a predicted availability of one or more grocery product items at the shopping location during the future delivery window by determining, at the server:
• historical inventory data;
• historical user preference data corresponding to a user;
• and
• one or more grocery product order factors selected from the group consisting of:
• a day of the week corresponding to the future delivery window;
• a time of day corresponding to the future delivery window;
• a month of the year corresponding to the future delivery window;
• a season corresponding to the future delivery window;
• and
• one or more scheduling factors corresponding to the shopping location;
• and
• based upon the shopping location, the future delivery window, and the predicted availability of the one or more grocery product items, presenting a fulfillable order option to the user.

An apparatus comprising:

• a processor;
• a non-transitory machine-readable storage medium that provides instructions that, if executed by the processor, are configurable to cause the apparatus to perform operations comprising,
• determining, at a server, a shopping location from which a grocery product order will be fulfilled;
• determining, at the server, a future delivery window during which the grocery product order will be fulfilled;
• generating a predicted availability of one or more grocery product items at the shopping location during the future delivery window by determining, at the server:
• historical inventory data;
• historical user preference data corresponding to a user;
• and
• one or more grocery product order factors selected from the group consisting of:
• a day of the week corresponding to the future delivery window;
• a time of day corresponding to the future delivery window;
• a month of the year corresponding to the future delivery window;
• a season corresponding to the future delivery window;
• and
• one or more scheduling factors corresponding to the shopping location;
• and
• based upon the shopping location, the future delivery window, and the predicted availability of the one or more grocery product items, presenting a fulfillable order option to the user.