In advanced distribution center (DC) environments, AI has moved well beyond visibility into true operational decision support. The most mature implementations automate data interpretation and time-sensitive calculations end to end—while deliberately keeping humans in control of exceptions and tradeoffs.

On the DC side, AI is now routinely used by Bluvoyix to parse complex detention and demurrage contracts, extracting carrier- and terminal-specific rules and automatically calculating Last Free Day (LFD). Rather than relying on static assumptions, the system applies rule-based logic informed by contract terms, mode, port or rail ramp, and distance to the DC. These calculations update dynamically as events change, removing guesswork and reducing downstream billing disputes.

AI also automates continuous monitoring of container status and timelines. As thresholds approach—such as LFD, unload readiness, or empty return deadlines—the system generates prioritized alerts and recommended actions. This allows warehouse teams to shift from reactive firefighting to proactive labor planning and dock scheduling.

Where automation stops is just as important. While AI can forecast detention exposure, rank unload priorities, and model “what-if” scenarios (e.g., congestion, rail delays, labor constraints), final decisions—such as reallocating labor, expediting drayage, or accepting fees in favor of service commitments—remain with human operators. These choices often require commercial judgment that extends beyond optimization logic and can be built into the model.

The result is an intelligent supply chain delivered through Bluvoyix technology that automates the mechanics of decision-making—calculations, monitoring, and scenario analysis—while reserving human override for strategic, high-impact calls.