Industry case study

How Schneider mapped a small workflow into a useful automation

A supply-chain team used a clearly defined order-processing task to connect automation, exception handling and employee skills.

Source publisherUiPath
Source publishedPublication date not disclosed
Last checked

Independent Cactera analysis of publicly documented work. Cactera was not involved in this work. Company names identify the subjects, not Cactera clients or partners.

Single workflow outcome reported by UiPath

4 hours to 2 minutesreported processing time for a specific order workflow

Read UiPath’s account
Comparison
The previous manual order-processing approach
Scope
PPE orders between a distribution center and European sites
Timeframe
COVID-era workflow; publication date not disclosed
The published work

The problem.

During the COVID-19 crisis, some receiving sites were not connected to the distribution center's ERP, requiring manual order processing.

What changed.

The team automated the task and used a generic mailbox, with errors flagged for attention. A wider skills program included UiPath learning materials.

As described by UiPath.

Single workflow outcome reported by UiPath

What was reported.

UiPath reports the processing time changed from four hours to two minutes for this workflow. Source: UiPath

What the evidence can tell us

The reported gain concerns one task, not overall company productivity or the result of a training course. The source gives no publication date or controlled comparison; this is a historical example, not a 2026 rollout.

Cactera analysis

What we take from it.

An automation workshop should begin with a process people can explain. We would draw the current steps with the employee who does the work, identify the inputs and outputs, and mark every decision that needs judgment. This often reveals unclear ownership or repeated data entry before anyone opens an automation tool.

Build the first exercise around a small, reversible action. Use sample records, show the output before it is applied and include an example that should fail. Learners need to understand how to recognize a partial result, where the error appears and how to return the task to a person. Those skills matter when the happy path stops working.

A handover should make maintenance visible. We would record who owns the workflow, which credentials it uses, how a source-system change is detected and how the team can pause it. Measure preparation, checking and exception handling as well as execution time. That gives the business a practical basis for deciding whether a prototype deserves production work.

A proposed method for your business

How to evaluate a similar idea.

Start with your situation and a question you can test. These are evaluation steps we would discuss before choosing an implementation.

  1. 01

    Draw the current process

    Record inputs, decisions and handoffs with the employee responsible for the task.

  2. 02

    Use a safe practice environment

    Build with sample data and preview changes before enabling actions in company systems.

  3. 03

    Include an exception

    Test a missing field or unavailable service and rehearse the path back to manual handling.

  4. 04

    Assign maintenance

    Document ownership, permissions, monitoring and the conditions for pausing the workflow.

Industry case study / Source notes

Sources & credits.

Work credited to
Schneider Electric's Global Supply Chain teams
Technology / platform
UiPath
Analysis & explanation
Cactera. Company wordmarks identify the article subjects.

Independent Cactera analysis of publicly documented work. Cactera was not involved in this work. Company names identify the subjects, not Cactera clients or partners.

A relevant next step

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