Supply chain · Production

Uniper deploys Celonis and Microsoft AI to improve 25+ processes and achieve double-digit million savings

The problem

Uniper had abundant data but could not turn it into actionable insight because processes were opaque and data lacked context, preventing strategic decision-making and hindering its mission to accelerate the energy transition through technology.

Workflow diagram · grounded in source
1
Data consolidation in cloud
integration
“Microsoft contributes its world-renowned capabilities and AI technology stack to ensure Uniper's data is consolidated in one public cloud and employees have access to AI services”
2
Process Intelligence digital twin
ai_action
“the Celonis Process Intelligence Platform creates a system-agnostic digital twin of Uniper's end-to-end processes, providing both operational transparency and the operational context AI needs to succeed”
3
Predictive process visibility
ai_action
“This visibility allows Uniper's teams to predict what's needed before issues arise”
4
Autonomous agent execution
ai_action
“Celonis Process Intelligence is also fed to Microsoft agents, enabling them to work autonomously, order the right parts, and alert the right people”
5
Coordinated plant operations
output
“Uniper can ensure plant parts are ordered correctly, schedules are aligned across plants, and downtime is minimized”
Reported outcome

By scaling Celonis enterprise-wide alongside Microsoft AI, Uniper achieved double-digit millions in savings, improved 25+ processes, and launched 30+ AI use cases, with the plant maintenance workflow delivering autonomous parts ordering, schedule alignment, and minimized downtime.

Reported metrics
Enterprise-wide savingsdouble-digit millions
Processes improved25+
AI use cases in implementation and discovery30+
processes scaled with Celonis27
Show all 9 reported metrics
enterprise-wide savingsdouble-digit millions
processes improved25+
AI use cases in implementation and discovery30+
processes scaled with Celonis27
source systems connectedeight
users with platform access350
employee timesaves employees time
operational wastereduces waste
plant downtimedowntime is minimized
Reported stack
Celonis Process Intelligence PlatformProcess Intelligence GraphMicrosoft Copilot Studio
Source
https://www.celonis.com/solutions/stories/uniper-microsoft-supply-chain
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

By scaling Celonis enterprise-wide alongside Microsoft AI, Uniper achieved double-digit millions in savings, improved 25+ processes, and launched 30+ AI use cases, with the plant maintenance workflow delivering autono…

What tools did this team use?

Celonis Process Intelligence Platform, Process Intelligence Graph, Microsoft Copilot Studio.

What results were reported?

Enterprise-wide savings: double-digit millions; Processes improved: 25+; AI use cases in implementation and discovery: 30+; processes scaled with Celonis: 27 (source-reported, not independently verified).

How is this supply chain AI workflow structured?

Data consolidation in cloud → Process Intelligence digital twin → Predictive process visibility → Autonomous agent execution → Coordinated plant operations.

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