Procurement · Production
Avnet delivers €10-15M in annual value with Celonis across Procurement, Sales, and Finance
The problem
Avnet needed full transparency into its own processes and fast real-time reactions amid supply chain disruption and component shortages. It also discovered its EDI electronic transaction adoption was far lower than assumed.
Workflow diagram · grounded in source
1
Process mining reveals performance gap
ai_action
“Their assumption was they were operating at 100% electronic (EDI) transactions, but Celonis revealed the number was closer to 70%”
2
Adoption lag identified and remediated
integration
“Using the EMS, they were able to identify where adoption was lagging, and bring the number up to above 90%”
3
Real-time buyer alerts
output
“providing real-time alerts to buyers so they can cancel their orders in an end-of-life scenario”
4
Automation opportunity identification
ai_action
“They're now using Celonis to both identify potential areas for automation”
5
Automation effectiveness monitoring
feedback_loop
“monitor if the automation measures they've already implemented are actually helping their teams in their day-to-day work”
Reported outcome
Avnet delivers €10-15M in value annually combining working capital impact, productivity gains, and revenue increases.
EDI electronic transaction adoption was improved from approximately 70% to above 90%, and over €6M in working capital was previously freed through process improvements.
Reported metrics
Annual value delivered€10-15M
Working capital freedover €6M
EDI transaction rate (baseline revealed)closer to 70%
EDI transaction rate (improved)above 90%
Reported stack
CelonisEMS
Frequently asked questions
What did this team achieve with this AI workflow?
Avnet delivers €10-15M in value annually combining working capital impact, productivity gains, and revenue increases.
What tools did this team use?
Celonis, EMS.
What results were reported?
Annual value delivered: €10-15M; Working capital freed: over €6M; EDI transaction rate (baseline revealed): closer to 70%; EDI transaction rate (improved): above 90% (source-reported, not independently verified).
How is this procurement AI workflow structured?
Process mining reveals performance gap → Adoption lag identified and remediated → Real-time buyer alerts → Automation opportunity identification → Automation effectiveness monitoring.