Automation index
How much of a Logistics coordinator’s job can AI already do?
Today an AI or a robot can barely cover part of a shift. Pace, the physical space, and dealing with people still are the job.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Logistics coordinator
28%
AI can already do 28% of this job.
#90 / 623
View rankingLogistics coordinator
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Maintain and develop positive business relationships with a customer's key personnel involved in, or directly relevant to, a logistics activity.EstimateNo public source provides a precise figure. This is our estimate. | 11% | 28% | +3.1 |
Develop an understanding of customers' needs and take actions to ensure that such needs are met.EstimateNo public source provides a precise figure. This is our estimate. | 10% | 28% | +2.8 |
Direct availability and allocation of materials, supplies, and finished products.EstimateNo public source provides a precise figure. This is our estimate. | 9% | 28% | +2.5 |
Direct team activities, establishing task priorities, scheduling and tracking work assignments, providing guidance, and ensuring the availability of resources.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Protect and control proprietary materials.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 28% | +2 |
Explain proposed solutions to customers, management, or other interested parties through written proposals and oral presentations.EstimateNo public source provides a precise figure. This is our estimate. | 5% | 22% | +1.1 |
Manage subcontractor activities, reviewing proposals, developing performance specifications, and serving as liaisons between subcontractors and organizations.EstimateNo public source provides a precise figure. This is our estimate. | 5% | 28% | +1.4 |
Perform managerial duties such as hiring and training employees and overseeing facility needs or requirements.EstimateNo public source provides a precise figure. This is our estimate. | 5% | 28% | +1.4 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 40% | 28% | +11.2 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- multimodal transport logistics
- markets for modes of transport
- comply with railway safety standards
- resolve shipment issues
- track shipments
- use different communication channels
- handle shipment risks
- negotiate logistics services
- analyse transportation costs
- apply transportation management concepts
Sources for this job· O*NET 13-1081.00· ESCO/ISCO 4323
IS WORK OVER?
ML engineer
29%
#64 / 623
View rankingML engineer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Train models, features and notebooks.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 48% | +10.6 |
Evaluate, document and compare runs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 42% | +7.6 |
Deploy, monitor and retrain.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to product about what a good error is.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Dirty data, bias and model limits.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
On-call, incidents and rollback.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 29% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Train models, features and notebooks
- Evaluate, document and compare runs
- Deploy, monitor and retrain
- Talk to product about what a good error is
- Dirty data, bias and model limits
- On-call, incidents and rollback
- machine learning engineer
- ingeniero ml
- mlops
Sources for this job· O*NET 15-1221.00· ESCO/ISCO 2511