Abstract: Systems and methods for dynamic mapping and routing using machine learning. The system can access requested items, a map, and process data signals to generate route segments that indicate a path to the requested items. The method includes accessing data associated with a delivery request that includes requested items. The method includes accessing map data associated with the initial location of the items. The method includes processing data signals from computing devices to confirm an initial location of an item, determine a new location of an item, or determine an availability of an item. The method includes iteratively generating a plurality of route segments for a user to follow that indicates a path to the requested items. The method includes outputting a command instruction to generate a user interface that iteratively displays each route segment based on the user selecting or disregarding the respective items.

Abstract: Systems and methods for determining recommended items from a plurality of available items. The system can access request data indicating requested items and user preferences from a user. The method includes obtaining sensor data indicating available items (e.g., available items at a merchant location). The method includes determining, using machine-learned models a recommended item based on the user preferences and the sensor data. The method includes outputting command instructions to update the user interface of a user device display the recommended item.