The FourKites Knowledge Center

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

Outcome as a Service is a commercial model in which an enterprise pays for measurable business outcomes delivered by AI agents, rather than software licenses, seats, or modules.

An AI audit trail is a comprehensive, immutable record of every action an AI system takes in production, including the inputs consumed, the reasoning applied, the decision made, the action executed, and the outcome observed, providing accountability, compliance evidence, and the foundation for continuous improvement.

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.

An Intelligent Control Tower is a supply chain platform that sees, reasons, acts, and learns, completing the full cycle from disruption detection to autonomous resolution without requiring a human in the operational path.

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.

Every enterprise technology leader faces the build-vs-buy question for supply chain AI agents. The prototype is seductive: a working agent in a week using LangChain or CrewAI. This framework examines five problems that emerge between demo and production, and provides criteria for when to build internally versus when to buy a platform.

The FourKites Graph is a proprietary supply chain intelligence asset spanning 882 enterprise shippers, 10,164 carriers, 3.6 million facilities, and 11 years of cross-company operational data, enriched with global intelligence layers including customs, sanctions, weather, maritime, and geopolitical data.

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.

Agent Communication Channels are the modalities through which supply chain AI agents reach carriers, suppliers, customers, and enterprise systems: Email, SMS, System-to-System API, Portal/UI, EDI, and Voice.

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.

Conversational analytics in supply chain is the ability to query supply chain data using natural language (typed or spoken) and receive instant, data-grounded answers with visualizations, eliminating the need for pre-built dashboards, analyst support, or SQL expertise.

AI workflow automation is the use of artificial intelligence to execute multi-step business processes autonomously, replacing manual task sequences with agent-driven workflows that gather data, reason on intelligence, take action, and record outcomes without human intervention for routine operations.

AI Decision Intelligence is the accumulated library of supply chain decision precedents: what resolution paths worked, for which exception types, on which carrier-lane combinations, in which seasons, captured from millions of real agent actions.

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.