The FourKites Knowledge Center

Generative UI is the dynamic creation of user interfaces by an AI system based on the user's role, context, and current operational state, replacing static dashboards with adaptive views that are generated, not configured.

AI explainability in supply chain is the ability to provide human-understandable explanations for every AI-generated prediction, recommendation, or action, answering not just 'what did the AI do' but 'why did it do that' and 'what information informed the decision.'

See-Reason-Act-Learn is the four-stage operational cycle that defines a true Intelligent Control Tower: seeing disruptions across the entire supply chain, reasoning about downstream consequences, acting through autonomous AI agents, and learning from every decision to improve future responses.

The distinction between supply chain AI powered by a multi-enterprise network (cross-company intelligence from hundreds of shippers) versus AI powered by a single customer's data (limited to one company's operational history).

The Supply Chain AI Flywheel is the compounding intelligence cycle in which more data feeds better intelligence, better intelligence feeds smarter agent decisions, agent decisions generate decision traces that enrich the data, and the system gets stronger with every shipment processed.

A Decision Trace is a complete, step-by-step record of every action an AI agent takes: what triggered the workflow, what data was gathered, what intelligence informed the decision, what action was taken, what the response was, and what the outcome was.

Supply Chain Network Intelligence is cross-company operational data aggregated from hundreds of enterprise shippers, thousands of carriers, and millions of facilities, creating intelligence patterns that no single company's data can produce alone.

FourSight AI is the intelligence and analytics layer of the FourKites platform, providing conversational analytics, generative interfaces (Gen UI), automated scorecards, and the bridge from insight to autonomous action.

Cross-Company Intelligence is the layer of supply chain insight that emerges only when operational data from multiple enterprises is aggregated: carrier behavior patterns, facility benchmarks, lane performance distributions, and exception resolution precedents that no single company could observe alone.

A Supply Chain Digital Workforce is a team of named AI agents that autonomously perform supply chain operations (exception resolution, document processing, appointment scheduling, customer communication) using cross-company intelligence from a network graph.

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.

A supply chain Digital Twin is a live, connected digital replica of supply chain objects (orders, shipments, facilities, inventory, assets) that continuously updates from execution systems and traces the impact of disruptions across every connected entity in real time.

The Consultant Tax is the recurring cost (typically $500K-$2M per implementation cycle) that enterprises pay to systems integrators and consulting firms to configure, customize, and maintain supply chain automation that could be built by an AI Developer Agent in days.

Loft is FourKites' multi-agent orchestration platform where AI agents operate, workflows are built, and every decision is recorded with a full audit trail.

Systems of Agents is the architectural pattern in which multiple AI agents coordinate to resolve complex situations that span functional boundaries, where one agent's output triggers another agent's action, enabling end-to-end autonomous resolution without human coordination between steps.