Patent ID: 11861551
Assignee: HAMMEL COMPANIES INC.
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. An apparatus for transport stage token tracking, the apparatus comprising:
at least a processor; and
a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to:
receive transport data of a transport, wherein the transport comprises an attribute;
train an attribute subgroup classifier, wherein the attribute subgroup classifier is a machine learning model using attribute subgroup training data, wherein the attribute subgroup training data correlates transport data elements to stage token elements;
classify the attribute to an attribute subgroup using the attribute subgroup classifier, wherein the attribute subgroup classifier inputs the transport data and outputs a classification of the transport data to at least an attribute subgroup;
identify a first transport token as a function of the classified transport data, wherein the first transport token is associated with the attribute of the transport;
compare the first transport token to a first token criteria, wherein the first token criteria comprises a preconfigured threshold for a value of the first transport token, wherein comparing the first transport token to the first token criteria comprises minimizing or maximizing an objective function;
identify a second transport token as a function of the transport data, wherein:
the first transport token comprises a pecuniary amount for a customer; and
the second transport token comprises a date the pecuniary amount is due from the customer;

compare the second transport token to a second token criteria, wherein comparing the second transport token to the second token criteria comprises comparing the date the pecuniary amount is due and a current date; and
generate a summate value as a function of the comparison between the first transport token and the first token criteria and the comparison between the second transport token and the second token criteria, wherein generating the summate value comprises adjusting the pecuniary amount for the customer if the date the pecuniary amount is due is before the current date;
wherein the memory contains instructions further configuring the at least a processor to:
receive training data correlating transport token elements and token criteria elements to summate value elements; and
train a summate machine-learning model with the training data, wherein the summate machine-learning model is configured to input the first and second transport tokens and the first and second token criteria and output the summate value.