Freight and Cargo Inspectors

Prepare and submit reports after completion of freight shipments.

AI: Fully automatable - AI can compile shipment data, auto-generate standardized reports, and submit them to logistics systems or regulators when integrated with operational software.

Record details about freight conditions, handling of freight, and any problems encountered.

AI: Fully automatable - AI can automatically record and structure details about freight condition, handling, and encountered problems from sensors, images, and operator inputs.

Write certificates of admeasurement that list details such as designs, lengths, depths, and breadths of vessels, and methods of propulsion.

AI: Fully automatable - Given measured inputs, AI can calculate and generate certificates of admeasurement listing designs, dimensions, and propulsion methods automatically.

Calculate gross and net tonnage, hold capacities, volumes of stored fuel and water, cargo weights, and ship stability factors, using mathematical formulas.

AI: Fully automatable - These are deterministic mathematical calculations that AI/software can perform accurately when provided with the required input measurements and formulas.

Advise crews in techniques of stowing dangerous and heavy cargo.

AI: Fully automatable - AI can generate evidence-based guidance, checklists, and training materials for stowing dangerous and heavy cargo and provide real-time advisory support to crews.

Recommend remedial procedures to correct any violations found during inspections.

AI: Fully automatable - AI can map identified violations to standard corrective actions and generate recommended remedial procedures and implementation plans.

Measure heights and widths of loads to ensure they will pass over bridges or through tunnels on scheduled routes.

AI: Fully automatable - Using sensors (LIDAR/photogrammetry), vehicle telematics, and route clearance databases, AI can measure load dimensions and verify whether scheduled routes provide sufficient clearance.

Notify workers of any special treatment required for shipments.

AI: Fully automatable - AI systems can automatically detect special handling requirements from shipment data and send targeted notifications through existing logistics and communications systems.

Check temperatures and humidities of shipping and storage areas to ensure that they are at appropriate levels to protect cargo.

AI: Fully automatable - IoT sensors combined with AI can continuously check temperature and humidity and alert or trigger controls to maintain levels appropriate to protect cargo.

Determine cargo transportation capabilities by reading documents that set forth cargo loading and securing procedures, capacities, and stability factors.

AI: Fully automatable - Document‑parsing NLP and rule‑based/calculation engines can read procedures and compute cargo transportation capabilities from the specified capacities and stability factors.

Read draft markings to determine depths of vessels in water.

AI: Fully automatable - Computer vision systems can read draft markings from images and compute vessel draft depths given appropriate image quality and reference datum.

Time rolls of ships, using stopwatches.

AI: Fully automatable - Sensors (IMUs and cameras) combined with algorithms can automatically measure ship roll periods, replacing manual stopwatch timing.

Determine types of licenses and safety equipment required, and compute applicable fees such as tolls and wharfage fees.

AI: Fully automatable - Rule-based systems and AI that ingest regulations and tariff schedules can determine required licenses/equipment and compute tolls and wharfage fees programmatically.

Inspect shipments to ensure that freight is securely braced and blocked.

AI: Partial - AI can analyze images and sensor data to detect insecure bracing or blocking and flag likely issues, but it cannot fully replace hands-on physical verification in all contexts.

Issue certificates of compliance for vessels without violations.

AI: Partial - AI can verify compliance and prepare certificate drafts, but issuing legally binding certificates generally requires authorized human or institutional sign‑off.

Observe loading of freight to ensure that crews comply with procedures.

AI: Partial - AI can observe loading via video analytics and detect deviations from procedures to alert supervisors, but it cannot physically enforce compliance or fully replace human oversight.

Post warning signs on vehicles containing explosives or flammable or radioactive materials.

AI: Partial - Posting physical warning signs is a manual activity; AI can detect the need and instruct or schedule personnel (or robots) but cannot physically post signs itself in typical operations.

Inspect loaded cargo, cargo lashed to decks or in storage facilities, and cargo handling devices to determine compliance with health and safety regulations and need for maintenance.

AI: Partial - AI can assist inspections by analyzing visual and sensor feeds to identify probable noncompliance or maintenance needs, but full hands-on inspection and nuanced judgment typically require humans.

Direct crews to reload freight or to insert additional bracing or packing as necessary.

AI: Partial - AI can analyze loads and recommend or dispatch instructions to crews to reload or add bracing, but cannot reliably perform or fully supervise complex physical reloading and safety judgments without human oversight.

Measure ships' holds and depths of fuel and water in tanks, using sounding lines and tape measures.

AI: Not automatable - Measuring holds and depths with sounding lines and tape measures is a physical task requiring manual action and context-specific judgment that AI alone cannot perform without robotic or sensor hardware.