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DHL Supply Chain

Company-reportedExceptions only

Boston Dynamics Stretch robotic case unloading

That people must spend entire shifts lifting loose-loaded cases from hot or cold trailers.

Logistics · North America, United Kingdom, and Europe

Collections: Embodied work

An editorial scene for DHL Supply Chain contrasts enter the trailer, identify each case, lift it, and place it onto a conveyor. with uses perception and a robotic arm to identify, grasp, and place cases from the trailer onto a conveyor. in the boston dynamics stretch robotic case unloading workflow.

Executive brief

The operating-model shift, in one view.

The case is strongest as an ergonomic workflow redesign; throughput is a maximum, and the undisclosed exception rate determines labor economics.

AI value · Case unloading rate

Company-reported

Up to 700 cases per hour; DHL states tested robot speeds exceeded the manual approach

Operator-reported maximum, not an average; product mix affects speed and employee-satisfaction improvement was not quantified.

Before

Enter the trailer, identify each case, lift it, and place it onto a conveyor. → Clear fallen or irregular cases and sustain throughput across the shift.

After

Uses perception and a robotic arm to identify, grasp, and place cases from the trailer onto a conveyor. → Supervises the cell, clears exceptions, and works in downstream or higher-value tasks.

Human boundary

The robot selects routine grasp and placement actions; people control cell safety and exception recovery.

Why it matters

That people must spend entire shifts lifting loose-loaded cases from hot or cold trailers.

This case is company-reported. Use it for the operating-model shift; do not treat the numbers as independently measured.

How the work changed

Before

How the work ran before the change.

  1. Step 1 of 2

    Warehouse associate

    Enter the trailer, identify each case, lift it, and place it onto a conveyor.

    ControlManual pace and safe-lifting practice

  2. Step 2 of 2

    Warehouse team

    Clear fallen or irregular cases and sustain throughput across the shift.

    ControlHuman coordination

What changed

That people must spend entire shifts lifting loose-loaded cases from hot or cold trailers.

Decision rightAI handles the default; humans own exceptions

After

How the same work runs now.

  1. Step 1 of 2

    Stretch robot

    Uses perception and a robotic arm to identify, grasp, and place cases from the trailer onto a conveyor.

    ControlRobotic operating envelope

  2. Step 2 of 2

    Warehouse associate

    Supervises the cell, clears exceptions, and works in downstream or higher-value tasks.

    ControlHuman safety and exception authority

Process model built from the published workflow evidence for DHL Supply Chain. Every step, actor, and control appears in full below.
Every step, actor, and control

Exception path

Humans handle fallen boxes, unsupported products, jams, and cases outside the robot's grasp envelope.

Work removed

  • Most repetitive case lifting inside covered trailers
  • A portion of exposure to hot and cold trailer interiors

Decision authority

The robot selects routine grasp and placement actions; people control cell safety and exception recovery.

Before

  1. 01

    Warehouse associate

    Enter the trailer, identify each case, lift it, and place it onto a conveyor.

    Control: Manual pace and safe-lifting practice

  2. 02

    Warehouse team

    Clear fallen or irregular cases and sustain throughput across the shift.

    Control: Human coordination

After

  1. 01

    Stretch robot

    Uses perception and a robotic arm to identify, grasp, and place cases from the trailer onto a conveyor.

    Control: Robotic operating envelope

  2. 02

    Warehouse associate

    Supervises the cell, clears exceptions, and works in downstream or higher-value tasks.

    Control: Human safety and exception authority

Work that left the path

  • Most repetitive case lifting inside covered trailers
  • A portion of exposure to hot and cold trailer interiors

Human role before

Associates performed continuous strenuous unloading inside trailers.

Human role after

Associates supervise robotic unloading, recover fallen or unsupported cases, and move to other warehouse work.

AI roleMobile robotic perception, grasp planning, and manipulation for variable carton unloading.

Outcomes

Case unloading rate

Company-reported

Manual unloading rate in tested environmentsUp to 700 cases per hour; DHL states tested robot speeds exceeded the manual approach

Commercial deployments through 2025-05-13 · DHL deployments in North America, the United Kingdom, and Europe

Operator-reported maximum, not an average; product mix affects speed and employee-satisfaction improvement was not quantified.

What leaders can reuse

Anti-pattern

Using the 700-case maximum as an average or ignoring exception labor.

Questions

  1. 01What is sustained throughput by product mix?
  2. 02How often does a person enter the cell?

Portability conditions

  • Constrained handling environment
  • Sufficient case regularity
  • Safe human exception access

Reputation risk

medium

Evidence and authority

What the public record supports.

Current · updated

2 primary; publication outcomes are reported.

Bundle 1.0.0 · reviewed 2026-08-23 · stable ID e25eb1b9d100c26c

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Sources

Read the evidence, freshness, caveat, and version policy.