The FourKites Knowledge Center

Schema markup is structured data embedded in web page HTML (typically in JSON-LD format) that explicitly describes the content's type, properties, and relationships using vocabulary from Schema.org, making the content machine-readable for search engines, AI systems, and knowledge graphs.

Proof of Delivery (POD) is the documentation confirming that a shipment was delivered to the specified recipient at the specified location, typically including the recipient's signature, delivery timestamp, quantity received, and any exceptions noted at delivery.

OTIF (On-Time In-Full) is a supply chain performance metric that measures the percentage of orders delivered to the customer on the agreed date (on-time) with the complete quantity ordered (in-full), used as the primary compliance standard by major retailers and a key indicator of supply chain reliability.

How AI transforms the shipper-carrier relationship: from manual check calls and quarterly scorecards to autonomous exception resolution, continuous performance monitoring, data-driven contract negotiations, and proactive capacity management.

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.

Forced labor compliance in supply chain refers to the regulatory and ethical requirements to ensure that no goods in a company's supply chain are produced, transported, or handled using forced, compulsory, or trafficked labor, as mandated by laws including the UFLPA (Uyghur Forced Labor Prevention Act), the UK Modern Slavery Act, and the EU Corporate Sustainability Due Diligence Directive.

Customs and trade compliance encompasses the regulatory requirements for moving goods across international borders, including import/export documentation, tariff classification, duties and taxes, country-of-origin determination, trade agreement utilization, and restricted party screening.

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.

A strategic guide for Chief Supply Chain Officers navigating the AI transition: what to invest in, what to defer, how to evaluate vendors, how to measure ROI, how to manage organizational change, and how to build the business case for autonomous execution.

Cross-docking is a logistics practice in which incoming shipments are unloaded at a facility and immediately loaded onto outbound trailers for delivery, with minimal or no storage time, requiring precise coordination between inbound arrivals and outbound departures.

Detention disputes arise when shippers and carriers disagree about the duration or cause of truck or trailer detention at a facility, with the carrier claiming the facility delayed the truck beyond free time and the shipper claiming the carrier arrived outside the appointment window or was processed within reasonable time.

A GLN (Global Location Number) is a 13-digit GS1 identifier assigned to a physical location (facility, warehouse, office, store) or a legal entity, used to uniquely identify parties and places in supply chain transactions.

A four-stage maturity model for supply chain technology: Stage 1 (Visibility: track shipments), Stage 2 (Intelligence: understand patterns), Stage 3 (Prediction: anticipate problems), Stage 4 (Autonomous Execution: resolve problems). The framework helps organizations assess their current stage and plan the progression to autonomous operations.

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.

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.