The FourKites Knowledge Center

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.

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.

Generic AI agent platforms (LangChain, CrewAI, AutoGen, and consulting-led custom builds) consistently fail in production supply chain environments because they lack network intelligence, cross-boundary orchestration, and decision memory.

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.

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.

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).

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.

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.

EDI 214 (Transportation Carrier Shipment Status Message) and EDI 990 (Response to a Load Tender) are standard electronic data interchange formats used for carrier-shipper communication. EDI 214 transmits shipment status updates (picked up, in transit, delivered). EDI 990 transmits carrier acceptance or rejection of a load tender.

Service-as-Software is the commercial model in which AI performs actual work (resolves exceptions, processes documents, schedules appointments) rather than providing tools for humans to perform the work, representing the shift from selling software access to selling completed services.

Sophie is FourKites' AI Developer Agent that translates natural-language descriptions of supply chain processes into production-ready Agent Operating Procedures (AOPs), connected to the Graph and Digital Twins, deployable in days.

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.'

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.

An Agent Operating Procedure (AOP) is an executable playbook that defines exactly how an AI agent handles a specific supply chain situation: which data to gather, which intelligence to consult, which action to take, which channels to use, and when to escalate.