Will AI replace Logistics Analysts?
Estimated risk score: 85 out of 100
Very high replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (66 to 100).
For the occupation as a whole, from ratings of its 31 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 13-1081.02 · Business and Financial Operations
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 24 of its 31 rated tasks; the first 6 are shown. In O*NET’s words.
- Enter logistics-related data into databases.
- Maintain logistics records in accordance with corporate policies.
- Write or revise standard operating procedures for logistics processes.
- Enter carbon-output or environmental-impact data into spreadsheets or environmental management or auditing software programs.
- Analyze logistics data, using methods such as data mining, data modeling, or cost or benefit analysis.
- Apply analytic methods or tools to understand, predict, or control logistics operations or processes.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 0 of its 31 rated tasks. In O*NET’s words.
None of its rated tasks.
What the job is
Analyze product delivery or supply chain processes to identify or recommend changes. May manage route activity including invoicing, electronic bills, and shipment tracing.
Also called: Supply Chain Analyst, Logistics Management Analyst, Provisioning Analyst, Demand Planning Analyst, Material Supply Planner, Product Control Analyst, Global Logistics Analyst, Inventory Control Analyst.
Closest jobs we score by hand
In the same field (Business and Financial Operations). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate