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Logistics & postal

Sector composite · Coverage at scale, RTW & rotation

Manual-task risk at depot scale — assessment, role design and return-to-work.

The pattern behind managing manual-task risk across large depot networks — coverage, unit economics, and the role data that powers return-to-work.

This is a composite

Drawn from JointAction customer engagements across logistics and postal operations. The scale figures below come from one large customer who is anonymised in this claim.

200,000+

manual-task assessments at one large customer — 135 depots, 109 shared kits, under AUD $4 each

Situation

Logistics and postal operations run high-frequency manual handling across large, distributed depot networks — parcel handling, sortation, transport — with high injury frequency and constant workforce movement.

Complication

At that scale, the challenge is coverage and unit economics: assessing enough of the work, often enough, cheaply enough to actually manage the risk — and using the resulting role demands for return-to-work and rotation decisions.

Response

  • Shared-kit assessment models that let a large depot network run assessments at very low unit cost.
  • Documented role demands used to match return-to-work clearances against real physical requirements rather than ambiguous “modified duties”.
  • Rotation and role design informed by where load actually falls, body region by body region.

Outcome

One large customer in this pattern — depots in 135 locations, 109 shared kits — has run more than 200,000 manual-task risk assessments to date, at a unit cost of less than AUD $4 per assessment.

The customer in this scale figure is anonymised. Earlier synthesised reduction figures for this sector are retired and are not used.

How this generalises

In high-frequency manual-handling environments, the program lives or dies on unit economics and coverage. A shared-kit model at a low cost per assessment is what makes organisation-wide assessment — and the role-demands data that powers return-to-work — actually affordable.

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