The FourKites Knowledge Center

Supply chain risk management is the systematic identification, assessment, and mitigation of risks that could disrupt the flow of goods, information, or funds across the supply chain, encompassing supplier risk, transportation risk, facility risk, regulatory risk, and geopolitical risk.

An Outcome Advisor is a FourKites specialist who helps enterprise buyers identify which supply chain outcomes apply to their operation and designs the deployment path to deliver them.

Freight class is the National Motor Freight Classification (NMFC) system that categorizes LTL shipments into 18 classes (50-500) based on density, stowability, handling requirements, and liability, determining the base rate for LTL shipping.

AI-Native SEO (also called Generative Engine Optimization or GEO) is the practice of optimizing web content for discovery and citation by AI systems (ChatGPT, Perplexity, Gemini, AI procurement agents) in addition to traditional search engines, through structured data, semantic content architecture, schema markup, and machine-readable formats.

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.

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.

Freight rate optimization is the strategic management of transportation costs through data-driven carrier negotiations, mode selection, lane consolidation, routing guide optimization, and spot market management to achieve the lowest total cost of transport while maintaining service levels.

A Stock Transfer Order (STO) is an internal order to move inventory between facilities owned by the same company (DC to DC, plant to warehouse, warehouse to store), managed through the ERP as a logistics transaction that changes inventory location without changing ownership.

Machine Learning ETAs are shipment arrival predictions generated by ML models trained on historical shipment data (transit times by carrier, lane, mode, season), real-time signals (GPS, weather, traffic, port congestion), and network-wide patterns, producing more accurate arrival estimates than carrier-provided ETAs or static transit time lookups.

Dwell time is the total elapsed time a truck, trailer, or container spends at a facility from arrival (gate check-in) to departure (gate check-out), including waiting, dock processing, loading or unloading, and any idle time between activities.

Autonomous execution in supply chain is the capability of an AI system to detect operational events, reason about their impact, take corrective action, and record the outcome without requiring human intervention for routine operations, reserving human judgment for exceptions that exceed defined confidence or risk thresholds.

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.

A supply chain AI agent is an autonomous software entity that performs operational supply chain tasks (exception resolution, document processing, appointment scheduling, carrier communication, customer notification) by reasoning on live data, making decisions informed by network intelligence, and executing actions across enterprise systems and communication channels without requiring human intervention for routine operations.

Agentic AI is AI that perceives its environment, reasons about the situation, decides on an action, and executes it autonomously. Traditional automation follows pre-defined rules without reasoning. The distinction is between systems that react to triggers and systems that reason about context before acting.

Yard management is the process of overseeing and optimizing the movement of trucks, trailers, and containers within a facility's yard from gate arrival through dock processing to departure, including trailer location tracking, spotter task management, dock door assignment, and detention monitoring.