The FourKites Knowledge Center

How to close the gap between commercial systems (ERP, OMS) and physical execution (shipments, carriers, facilities): connecting the PO in SAP to the truck on the road to the dock at the DC to the goods on the shelf, in one continuous, real-time model.

Disruption intelligence is the real-time monitoring, assessment, and impact quantification of events that affect supply chain operations (weather, port congestion, geopolitical events, labor actions, infrastructure failures), mapped to specific in-transit shipments, open orders, and affected facilities.

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.

A carrier tender (load tender) is a formal offer from a shipper to a carrier to transport a specific shipment on a specific lane at a specific rate, typically transmitted electronically via EDI 204 or API, initiating the shipment lifecycle.

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.

Natural language query in logistics is the ability to ask supply chain questions in plain English (or any language) and receive structured, data-grounded responses from operational systems, translating conversational intent into database queries across shipment, order, facility, and inventory data.

The SaaS-to-Execution transition describes the enterprise software industry's shift from platforms that provide information and tools (SaaS: dashboards, analytics, configuration interfaces) to platforms that perform operational work autonomously (Execution Systems: AI agents that resolve, schedule, process, and coordinate).

Geofencing is the creation of virtual geographic boundaries around physical locations (facilities, ports, rail terminals, customer sites) that trigger automated events when a tracked vehicle enters or exits the defined area, enabling precise arrival and departure detection without manual check-in.

AI data privacy in supply chain refers to the policies, architectures, and technical controls that ensure customer operational data (shipment details, carrier relationships, facility performance, order data) is not exposed to other customers, used for unauthorized model training, or accessible beyond defined permissions.

Foundation models are large, general-purpose AI models (GPT, Claude, Gemini) trained on broad internet data. Domain AI is artificial intelligence specifically built, trained, and optimized for a specific industry or operational domain using proprietary data, specialized architectures, and domain-specific evaluation criteria.

Facility benchmarking is the practice of comparing a facility's operational performance (dwell time, dock throughput, appointment adherence, detention rates, gate processing speed) against internal historical trends and external industry standards to identify improvement opportunities.

Safety stock is the extra inventory maintained above the expected demand level to buffer against variability in supply (late deliveries, supplier shortfalls) and demand (unexpected orders, forecast errors), preventing stockouts while incurring additional carrying cost.

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.

Lead time variability is the statistical distribution of actual lead times (the time between order placement and goods receipt) across a supplier, carrier, or lane, measuring the consistency and predictability of supply chain performance rather than just the average.

DSCSA (Drug Supply Chain Security Act) compliance is the set of regulatory requirements for tracking and tracing prescription drugs throughout the US pharmaceutical supply chain, including serialization, transaction documentation, verification, and ultimately full electronic interoperable traceability.