Hr ops · Production

Deutsche Post DHL improves hire-to-retire HR processes with Celonis EMS and automated error correction

The problem

Deutsche Post DHL's HR Shared Service Center needed to improve data quality, standardization, and efficiency across its hire-to-retire HR processes as the business sought to deliver simpler services that make daily work easier for employees.

Workflow diagram · grounded in source

Daily HR master data scan

trigger

“The HR Shared Service Center automatically scans its HR master data system for incorrect placements and errors daily.”

Automated error correction via RPA

ai_action

“Action Flows within Celonis EMS are enabling Robotic Process Automation (RPA) by triggering actions, meaning correcting the errors automatically.”

Process gap transparency output

output

“Celonis has enabled Deutsche Post DHL HR Shared Services to measure process gaps with in HR and provide transparency to stakeholders quickly”

Reported outcome

Celonis EMS enabled Deutsche Post DHL to measure HR process gaps and provide transparency to stakeholders quickly, automatically detect and correct HR master data errors daily, and achieve improved cash flow and reduced employee stress.

Reported metrics

HR use cases at launch8

Active Engine skills in Celonis EMSalmost 50

Cash flowimproved cash flow

Employee stressreducing the stress of employees

Reported stack

Celonis EMSAction Engine

Source

https://www.celonis.com/blog/deutsche-post-dhl-outlines-celonis-ems-use-cases-for-its-hr-processes

Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Celonis EMS enabled Deutsche Post DHL to measure HR process gaps and provide transparency to stakeholders quickly, automatically detect and correct HR master data errors daily, and achieve improved cash flow and reduc…

What tools did this team use?

Celonis EMS, Action Engine.

What results were reported?

HR use cases at launch: 8; Active Engine skills in Celonis EMS: almost 50; Cash flow: improved cash flow; Employee stress: reducing the stress of employees (source-reported, not independently verified).

How is this hr ops AI workflow structured?

Daily HR master data scan → Automated error correction via RPA → Process gap transparency output.