The nature of logistics and transportation requires extensive labor and a culture of trust. A typical freight shipment endures dozens of touch points in the freight’s journey, and data entry or documentation capture is, unfortunately, an after-the-fact process.
In actuality, the priority of those in each touch point is usually the freight, not necessarily the data. Companies who have developed automated technologies to capture and track data still have the problem of data integrity.
Either the data cannot be verified by other supply chain partners, relying solely on what is present, or there is no mechanism to validate the data itself.
As the world of transport continues to increase in complexity, the merging of blockchain and artificial intelligence will be where technologies come together to digitize freight.