The use case: how Syngenta Group deploys Celonis
Syngenta uses Celonis process mining to monitor master data and send automated alerts about inaccurate or incomplete fields so the team can fix them before production stops. It also uses Celonis benchmarking and process insights to increase automation and reduce rework in Order-to-Cash across countries.
More reported results
Figures published in Celonis’s case study. They are not independently measured by usedby.
Globally, Syngenta cut 72,000 hours through automation and reduction of manual rework.
In Poland alone, Destri’s team cut 148 days on average from their Order-to-Cash cycle time
save approximately 30,000 hours of rework
Today, Syngenta is optimizing 20+ processes with Celonis.
In the customer’s words
With the help of Celonis, our vision of becoming truly data-driven is turning into reality.Other AI tools used by Syngenta Group
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Explore Syngenta Group’s AI stack
Other companies using Celonis
Customers across industries, with public evidence.
ABBConfirmed
AccentureConfirmed
Alstom transportConfirmed
AstraZenecaConfirmed
AutodeskConfirmed
B3ConfirmedGo straight to the source
Based on Celonis’s published case study. We check the public evidence; the results are reported by the vendor.
celonis.com- Last checked
- Oct 30, 2026
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What we compared with the page.
- The figure: 2,100Checked
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- The passage quoted aboveChecked
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- Syngenta Group uses CelonisChecked
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- The result itselfNot checked
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In just three months, the MDM team prevented over 2,100 production stops — and over 4,200 in ten months. This huge accomplishment helped Syngenta unlock millions in working capital and save approximately 30,000 hours of rework.