AI Takes the Freight Desk, Orchestration Moves Into Operations, and Compliance Becomes Workflow

AI Starts Running the Freight Desk

Cathay Cargo’s pre-flight AI screening and Flexport’s AI freight orchestration show the next step in execution: systems are no longer just flagging risk, they are helping run the shipment itself. Cathay is using AI-assisted language analysis to screen cargo descriptions before flight for import, export, and transshipment risks, while giving frontline teams context on why a shipment was flagged and what follow-up may be required. Flexport has launched an AI-driven platform that lets users book, track, and optimize freight through plain-language prompts, including automated booking against negotiated rates, disruption monitoring, and multimodal routing across ocean, air, rail, and barge. In customs, an Irish broker said it scaled from about 20,000 annual declarations to 2 million on a single web-based platform integrated with Irish Revenue systems, replacing email-and-spreadsheet workflows with bulk submission and automated validation.

That matters because the execution stack is now screening cargo, triggering bookings, applying routing logic, and absorbing declaration volume without proportional headcount growth. With tariff volatility still forcing sourcing, routing, and customs decisions to move together, the operational advantage is shifting to teams that can supervise automated workflows, validate data and rules, and resolve the exceptions the system surfaces. Teams built around manual booking, filing, and handoff coordination will be measured against operators who can run higher volume through tighter AI-enabled control points.

Dexory and Descartes Push Orchestration Into the Operating Layer

Iron Mountain’s Dexory rollout now spans four UK warehouses, with robots scanning up to 16,100 locations per hour and reaching racks 18 meters high, turning inventory visibility into a multi-site operating input. At the same time, warehouse orchestration is moving beyond point automation: WMS, WES/WCS, robots, and sensors are being coordinated as one decision stack, while Descartes is pushing integrated network data for faster disruption response and FourKites is extending automated exception handling.

The shift is from isolated tools to connected response systems that sequence work across functions. For supply chain teams, that means orchestration is becoming the place where inventory accuracy, labor execution, and transport exceptions are reconciled in real time. If you manage operations, the skill edge is no longer just knowing the systems; it is knowing how to govern the handoffs between them and design the rules that decide what happens next.

EUDR Turns Multi-Tier Traceability into a Workflow Layer

Resilinc launched an EUDR-specific multi-tier compliance tool that identifies in-scope commodities, maps suppliers and sites across multiple tiers, collects due-diligence evidence such as producer identity, geolocation, and legality documentation, and generates the EU Due Diligence Statement for submission in TRACES. Sedex also expanded supplier mapping beyond Tier 1 by letting upstream suppliers be invited into its network and confirmed at the worksite level.

Together, these moves show compliance software shifting from generic visibility to structured evidence capture and filing support. The practical change is not broader dashboards; it is tighter workflows around the exact data EUDR requires. If you manage supply chain compliance, procurement, or supplier onboarding, the bar is rising from “can we see the chain?” to “can we prove it, tier by tier, with documents ready for submission?” Teams that still rely on Tier 1 declarations will be exposed to slower audits, weaker traceability, and more manual chasing when regulators ask for proof.

Rail and Supplier Data Move Into Audit-Ready MRV

Rail Delivery Group has expanded Green Travel Data from a limited set of direct routes to station-to-station emissions calculations for every possible National Rail journey, using carriage class, load factor, train volume, engine and fuel type, real occupancy, and live timetable data. That matters because rail carbon reporting is moving from operator averages to journey-level MRV, letting logistics teams tie emissions to specific origin-destination movements.

Diginex’s new multi-tier due diligence platform pushes the same logic upstream: it maps suppliers across tiers, validates risks, manages corrective actions, and preserves an audit-ready record from issue to verified resolution. Together, these June 25 developments extend the shift already underway from better reporting and network optimization into evidence capture inside transport planning and supplier management, as CSRD, CSDDD, CBAM, and California disclosure rules tighten the move away from spend-based Scope 3 estimates toward activity-based reporting.

For practitioners, the job is no longer just compiling disclosures. Transport, procurement, and compliance teams now need shared processes for collecting primary data, validating metadata, and retaining evidence that can survive customer and regulatory review.