Supply chain logistics, transportation, and shipping form a complex network of differing kinds of resources – from transport vehicle types to packaging and products to regulatory agencies and shipping customers. Knowledge graphs make it possible to identify these resources and relationships between them, makes it easier (often much easier) to create new records and edit existing ones, and minimizes duplication and erroneous information.
Tracking information about goods as they move from location to location can prove difficult at the best of times. One benefit of knowledge graphs is that such graphs are quite adept at identity management and the creation of digital key rings. This makes master data management a much easier proposition overall, and as such can be used to identify shipments that have either been misdelivered, deliberately rerouted, or delayed, especially in conjunction with complex knowledge graph rules and constraints that can detect and alert the relevant people when something goes wrong.
Knowledge graphscan be used to hold and manipulate physical metadata, such as a package’s dimensions, special handling requirements, safety information, and so forth. This ability to dynamically compute and store information as part of the graph’s internal functions means that packages can be more effectively routed based upon these requirements, available storage and transport, and similar economic considerations.
Shipping is international in nature, and as such, moving goods across borders frequently entails dealing with different regulatory domains, different taxes, tariffs, and duties, and different safety requirements. Knowledge graphs are able to annotate package and container information so that it becomes feasible to identify potential problems in transport and distribution before the product is even shipped and to change routes and transportation as need be in real-time. This reduces risk while simultaneously optimizing transit time, making inventory management much easier as well.