For the past few years, transportation executives have had to manage through one disruption after another: excess capacity, collapsing rates, driver shortages, rising fuel costs, fraud, cargo theft, shifting regulations, and increasingly demanding customers. What struck me during the transportation…
The AI discussion in logistics is quickly moving beyond copilots, chatbots, and better search. At the Descartes Innovation Forum today, Descartes demonstrated something considerably more interesting: agents working across multiple logistics applications and organizations to execute parts of a representative…
project44 is using its real-time logistics network as the foundation for a broader execution-intelligence layer built around prediction, exceptions, and automation.
As supply chain technology markets accelerate and converge, companies need a repeatable intelligence system that combines market research, customer evidence, targeted analysis, and continuing interpretation.
Knowing that a shipment will arrive six hours late is information. Knowing it early enough to reschedule labor, protect a customer commitment, avoid detention, or change an inventory decision is economic value. That distinction is becoming central to the logistics visibility market.
o9 Solutions’ Digital Brain illustrates how semantic models and knowledge graphs can become part of the decision architecture for complex supply chains.
