Method and system for selection of a path for deliveries

A system for path selection using vehicle route guidance comprising a computing device, said computing device being configured to:

• receive a plurality of requests including a plurality of alimentary combinations and a plurality of destinations, wherein each request specifies:
• an alimentary combination of the plurality of alimentary combinations to be assembled by at least an alimentary provider;
• and
• a destination of the plurality of destinations;
• compute a projected nutritionally guided order volume as a function of a first machine-learning process, guidance-free order volume, and an alimentary instruction set, wherein, the machine-learning process is trained by data correlating past nutritionally guided order volumes with a plurality of past extrinsic circumstances, and wherein the machine-learning model receives at least a current extrinsic circumstances as inputs, and outputs projected nutritionally guided order volume;
• determine a plurality of assembly times, the plurality of assembly times including an assembly time for each alimentary combination, as a function of the nutritionally guided order volume;
• select a runner route from a plurality of runner routes, for delivering at least one alimentary combination of the plurality of alimentary combinations, as a function of the plurality of assembly times, wherein each runner route of the plurality of runner routes further includes:
• information related to a runner, wherein the information includes health and religious information on the runner, wherein the health information includes allergy information on the runner;
• an aggregation depot;
• and
• a path from an alimentary provider of the plurality of alimentary providers to the aggregation depot;
• and
• generate a plurality of predicted routes as a function of a proximity of a plurality of destinations to the aggregation depot, wherein each predicted route of the plurality of predicted routes comprises:
• a retrieval from the at least the aggregation depot;
• and
• at least a destination, of the plurality of destinations;
• pair a predicted route of the plurality of predicted routes with a courier, wherein pairing further comprises:
• generating an objective function based on a plurality of objectives, including minimizing travel time as a function of current weather conditions;
• and
• pairing, with the courier, the predicted route that optimizes the objective function, wherein optimizing the objective function comprises:
• minimizing a loss function;
• and
• eliminating optimized routes-based on delivery parameters including inclement weather.