Basic principles are simple: use URIs to describe things and provide useful information about these things when requested:
This could allow you to write trivial queries to quickly identify if there are bottlenecks in how your packages are shipped etc.
Also the development of SPARQL was a significant milestone, that really changes how one works with rdf.
A linked data web could then be used to for reasoning on top of it, but it would need to be large and thus it needs to be useful before the reasoning can be used. For instance, imagine the original web when people were working on search engines with only a few pages... The pages need to exist first.
I wonder what's going to happen when you try to have actually dense data. I can't wait to download a 40gb fMRI file in RDF or whatever.
Cheers, Michael
I've seen some apps which are using RDF mostly for metadata, but in the life sciences world, we use it for the nitty gritty data.