Logistics

Logistics Coordinator

Based on 37 assessments · 2 from real users

34% Moderate risk

Average realistic automation risk across all Logistics Coordinator profiles in the dataset.

Raw potential
60%
Realistic risk
34%
Research benchmark ?
45%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 37 profiles. Middle half of Logistics Coordinators score between 30% and 37%.

0% 50% 100%
p10 · 26%
42% · p90
On-screen work 46%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 33%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 0%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 22%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Logistics Coordinator, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Entering shipment details (origin, destination, weight, dimensions, special handling instructions) into the transportation management system (TMS) to create shipping orders
24% AD 45%
Negotiating freight rates and service terms with carriers (trucking companies, freight forwarders, or couriers) based on shipment volume, urgency, and budget constraints
deep expertise
21% AD 0%
Coordinating with warehouse teams to ensure timely loading/unloading of goods, including scheduling dock appointments and resolving discrepancies (e.g., missing items, damaged goods)
deep expertise
17% AA 6%
Resolving customer inquiries or complaints about shipments, such as lost packages, incorrect deliveries, or billing disputes, often requiring follow-up with carriers or internal teams
deep expertise
16% AA 2%
Tracking shipments in real-time using GPS or carrier portals, updating statuses (e.g., 'in transit,' 'delivered,' 'delayed'), and communicating delays or issues to customers or internal teams
16% DD 57%
Analyzing transportation data (e.g., delivery times, carrier performance, cost trends) to identify inefficiencies and recommend improvements, such as route optimizations or carrier switches
deep expertise
2% DD 37%
Preparing and reviewing shipping documents (e.g., bills of lading, commercial invoices, customs paperwork) for accuracy and compliance with regulations
1% DD 66%

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