Predicting package distribution network attributes

A method implemented by a digital computing system, comprising:

• initializing a model of a package distribution network in the digital computing system, the model comprising a graph with nodes representing intermediate waypoints of the package distribution network and edges representing distribution channels between the intermediate waypoints, wherein at least some of the edges include initial values of one or more attributes of the respective distribution channels of the package distribution network;
• using the model, simulating traversal of one or more packages through a plurality of candidate pathways across the package distribution network, wherein the simulating comprises applying data indicative of nodes and edges of the graph as input across one or more machine learning models to generate predicted values of one or more attributes of the distribution channels of the package distribution network, wherein the data indicative of nodes and edges includes the initial values;
• based on the simulating, determining at least one metric associated with each of the candidate pathways across the package distribution network;
• and
• based on the metrics, selecting one or more of the candidate pathways across the package distribution network for use in one or more downstream computing processes.