Automation index

How much of a Logistics analyst’s job can AI already do?

A cost dashboard comes earlier. Finding the saving without breaking the network do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

28%

AI can already do 28% of this job.

#79 / 623

Logistics analyst

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
Costs, OTIF and the dashboard. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Simulate network, warehouses and the what-if. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Ops, dirty data and going down to the dock. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Report, the board and the cut that hurts. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The haulier, the contract and not breaking the service. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
A real saving, and not dressing OTIF. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		28%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

IS WORK OVER?

25%

#230 / 623

Biomedical engineer

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
Design, validate and document clinical devices and software. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Tests, MDR and risk. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Hospital, clinicians and maintenance. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Vendors, quality and traceability. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
User training and post-market watch. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Not putting a half-built prototype in theatre. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		25%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low