PharmaceuticalsOperations

How STADA Uses Celonis to Cut Batch Release Throughput Time by 44%

STADA Arzneimittel AG, the German pharmaceutical company, deployed the Celonis Platform to digitize and automate its batch release process — the final quality approval step before medicines reach the market. The implementation cut throughput time by 44%, improved on-time batch releases by 20%, and eliminated manual spreadsheet operations in favor of a real-time digital dashboard used by 100+ employees daily.

Outcomes

44%Reduction in batch release throughput time
20%Improvement in on-time batch releases
100+Daily active users

Tools & Technologies

1CP
Celonis Process Intelligence Platform
Process mining platform that extracts and visualizes end-to-end process flows from enterprise system event logs.

AI Categories

Challenge

STADA's batch release process — the final quality approval before medicines ship — was fragmented across departments with disconnected documentation systems, manual handoffs, and no real-time visibility, causing bottlenecks and delays that slowed medicines from reaching patients.

Solution

STADA deployed the Celonis Platform to create a process mining digital twin of its batch release workflow, replacing manual spreadsheet coordination with automated notifications, unified data management, and a real-time digital dashboard that enables 100+ employees to collaborate across departments on a single view of batch status.

Full Story

STADA Arzneimittel AG manufactures branded and generic pharmaceuticals distributed globally. The batch release process — the critical final quality approval that must occur before any medicine can leave the facility — was fragmented across multiple departments with disconnected documentation systems. Each batch required coordination between quality assurance, manufacturing, and regulatory teams, but without a unified workflow these handoffs relied on manual processes and spreadsheets. The result was poor visibility into where each batch stood, bottlenecks that were difficult to diagnose, and delays in getting medicines to patients.

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