Back office ops · Production

Huntsman scales Celonis to 100+ users globally in six months, cutting data-pull time from months to minutes

The problem

Huntsman's process data required six months and ten different groups to manually compile, and the company faced multiple process inefficiencies across its business units while managing supply chain challenges.

Workflow diagram · grounded in source
1
Connect data to Celonis
integration
“When we first started to connect our data to Celonis, we had data that used to take 6 months and 10 different groups manually to pull together”
2
Build process view
output
“We built a view for a particular issue in a 30 minute session”
3
Tiger teams hunt inefficiencies
human_review
“tiger teams that serve as hunters for process problems. A team included an analyst, commercial lead, financial analyst and subject matter experts”
4
Two-day collaborative workshop
human_review
“Huntsman brought analysts and leaders together to find cases and build views over two days. Each of the groups presented a business case. Each group realized they weren't alone. We went from defensive to collaborative”
5
Center of Excellence scales across units
integration
“A Celonis Center of Excellence was also created to further scale across 35 processes. The Celonis Center of Excellence is the mediator that solves issues across units.”
6
EMS process alerts deployed
output
“Huntsman is using EMS for process alerts”
Reported outcome

Huntsman onboarded more than 100 Celonis users globally in less than six months, added 40 to 50 analyst users across units, built process views in 30-minute sessions, and scaled to 35 active processes with a Center of Excellence.

Reported metrics
Celonis users onboarded globallymore than 100
Onboarding timeframeless than 6 months
Data pull time (before Celonis)6 months
Manual groups required for data pull (before)10 different groups
Show all 10 reported metrics
Celonis users onboarded globallymore than 100
Onboarding timeframeless than 6 months
Data pull time (before Celonis)6 months
Manual groups required for data pull (before)10 different groups
View build time with Celonis30 minute session
Analyst users added across units40 to 50
Processes in Center of Excellence35
Use cases on tap35
Value creation achieved (broader cost realignment program)$125 million
Cost realignment goal (broader program)$240 million
Reported stack
CelonisEMS
Source
https://www.celonis.com/blog/how-huntsman-scaled-process-excellence-use-cases
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Huntsman onboarded more than 100 Celonis users globally in less than six months, added 40 to 50 analyst users across units, built process views in 30-minute sessions, and scaled to 35 active processes with a Center of…

What tools did this team use?

Celonis, EMS.

What results were reported?

Celonis users onboarded globally: more than 100; Onboarding timeframe: less than 6 months; Data pull time (before Celonis): 6 months; Manual groups required for data pull (before): 10 different groups (source-reported, not independently verified).

How is this back office ops AI workflow structured?

Connect data to Celonis → Build process view → Tiger teams hunt inefficiencies → Two-day collaborative workshop → Center of Excellence scales across units → EMS process alerts deployed.

Related back office ops cases