Systems and methods for imputation of shipment milestones

A shipping management computing system, comprising:

• a memory storing (i) a machine learning model, (ii) a machine-learned stop detection model that was trained, (iii) a data record associated with a shipping vehicle, and (iv) a set of computer executable instructions;
• and
• at least one processor coupled to the memory and configured to execute the set of computer executable instructions to cause the at least one processor to:
• define a set of geofences, including:
• analyze, using the machine-learned stop detection model that was trained, historical vehicle tracking data to filter out at least a portion of the historical vehicle tracking data that does not correspond to stopped vehicles,
• perform a set of clustering techniques on the historical vehicle tracking data having at least the portion of the historical vehicle tracking data filtered out to identify a plurality of clusters indicative of a plurality of transportation locations at which shipping vehicles indicated in the historical vehicle tracking data have undertaken shipping-related actions, and
• define the set of geofences for each of the plurality of transportation locations based at least in part on the plurality of clusters,
• train, using a set of training data associated with an additional set of shipping vehicles, the machine learning model, the set of training data comprising additional vehicle tracking data labeled with a set of milestone events associated with the additional set of shipping vehicles,
• obtain a set of vehicle tracking data associated with a shipping vehicle,
• compare the set of vehicle tracking data to a geofence, of the set of geofences, associated with a transportation location of the plurality of transportation locations,
• analyze, using the machine learning model, the set of vehicle tracking data to determine that there has been a change in presence of the shipping vehicle at the transportation location associated with the geofence, and
• in response to determining that there has been the change in presence of the shipping vehicle at the transportation location associated with the geofence, insert a data entry into the data record associated with the shipping vehicle that indicates the change in presence of the shipping vehicle at the transportation location associated with the geofence.

A computer program product comprising a non-transitory computer readable medium storing a set of computer instructions executable by at least one processor to:

• define a set of geofences, including:
• analyze, using the machine-learned stop detection model that was trained, historical vehicle tracking data to filter out at least a portion of the historical vehicle tracking data that does not correspond to stopped vehicles,
• perform a set of clustering techniques on the historical vehicle tracking data having at least the portion of the historical vehicle tracking data filtered out to identify a plurality of clusters indicative of a plurality of transportation locations at which shipping vehicles indicated in the historical vehicle tracking data have undertaken shipping-related actions, and
• define the set of geofences for each of the plurality of transportation locations based at least in part on the plurality of clusters;
• train, using a set of training data associated with an additional set of shipping vehicles, a machine learning model, the set of training data comprising additional vehicle tracking data labeled with a set of milestone events associated with the additional set of shipping vehicles;
• obtain a set of vehicle tracking data associated with a shipping vehicle;
• compare the set of vehicle tracking data to a geofence, of the set of geofences, associated with a transportation location of the plurality of transportation locations;
• analyze, using the machine learning model, the set of vehicle tracking data to determine that there has been a change in presence of the shipping vehicle at the transportation location associated with the geofence;
• and
• in response to determining that there has been the change in presence of the shipping vehicle at the transportation location associated with the geofence, insert a data entry into a data record associated with the shipping vehicle that indicates the change in presence of the shipping vehicle at the transportation location associated with the geofence.