Models for estimating eta and dwell times for transportation of objects

A method of training a model to provide an estimated time of arrival (ETA) for transporting an object, the method comprising:

• receiving, by one or more processors, data from a reader device, the data identifying a tracking tag associated with the object and a first timestamp;
• determining, by the one or more processors, based on the received data, a location of the tracking tag at the first timestamp;
• identifying, by the one or more processors, a starting location and second timestamp for the tracking tag and a destination location and third timestamp for the tracking tag;
• identifying, by the one or more processors, a list including at least one dwell time and dwell location for the tracking tag;
• and
• training, by the one or more processors, the model to output the ETA, a second dwell time, and a second dwell location for the object based on the determined location, the starting location for the tracking tag, the destination location for the tracking tag, the first timestamp, the second timestamp, the third timestamp, and the list, wherein the training does not involve using an actual route that will be followed by the object to the destination location;
• and
• identifying, based on output of the model, one or more upstream components involved in transporting the object that are slowing transportation of the object, wherein identifying the one or more upstream components enables a logistical provider to take corrective action by modifying the one or more upstream components.