Decision Intelligence
Decision Intelligence is the discipline of using data, analytics, and AI to improve the speed and quality of operational decisions, encompassing the capture of decision context, the evaluation of alternatives, the execution of the chosen action, and the measurement of outcomes to inform future decisions.
Why It Matters
The concept is sound. The question is depth: does the system actually capture decisions, learn from outcomes, and improve over time? Or is it analytics with a new name?
The FourKites Perspective
FourKites implements Decision Intelligence structurally through the AI Flywheel: every agent decision generates a Decision Trace, every trace feeds the Graph, the Graph informs future decisions. This is not analytics relabeled. It is a closed-loop system where outcomes teach the intelligence layer what works. The depth is the differentiator: 2.5 million decision traces per month from real supply chain operations, not synthetic data or simulations.