Case Examples

  • Agribusiness company determines competitors' production at various flour mills to help marketing validate market share reports from field sales.
  • Our utility customers see where their mine suppliers are shipping, as well as where other utilities source their coal.
  • Transportation Management at one chemical company uses .dt to help educate marketing and sales to the 'realities' of the rail transportation marketplace.
  • Consultant used .dt to illustrate for their client the competitive rate differential associated with captive vs. non-captive origins.
  • Virtually all our customers use .dt to 'sanity test' the rate proposals they receive from carriers.
  • Another chemical company assesses the competitiveness of their rail rates to key markets. (See illustration below.)


  • Port Authorities use .dt to evaluate their competitiveness versus other ports to targeted inland markets; assess carrier cost differentials, rates, and load/empty imbalances.
  • IMCs use .dt to benchmark their rates..."Wow, and I thought everybody paid similar rates!"
  • IMCs and shippers learn just how important their volume is to the railroad(s) in each specific lane, providing insight into how much negotiating leverage they really have.
  • .dt helps users identify the 'haves' and 'have-nots' among the railroads. Who would you rather negotiate rates with?
  • .dt tells all regarding intermodal equipment: containers v. trailers, type, size, and owner.
  • Utilities see where their competition is sourcing from, and understand the underlying rail economics.
  • Coal producers look to new markets, see where utilities source coal, and understand how rail freight advantages influence the market.
  • .dt compliments CoalDat, providing transportation details like car type and size, lading, owner, train size, and more.  .dt unmasks all the associated economic trade-offs...
  • .dt helps justify investment in higher capacity cars, or track to support larger trains, and provides vital information to rail rate negotiators involved in these projects.
  • Export and import situations are better understood through the 'dual-functionality' of .
  • Utilities, coal producers, and consultants use data in merger and aquisition analyses.