Cisco uses Celonis Process Intelligence to close invoicing gaps and target 90% perfect orders in commerce operations
Cisco's commerce operations had process gaps in ordering and invoicing that, at the company's scale, created material business impact — including delayed invoicing that deferred revenue and an imperfect order rate affecting customer and partner experience.
Cisco identified multiple root causes of invoicing delays and is targeting a 60-day reduction in invoicing follow-up timelines and an increase in perfect order rate from 85% to 90%, improving working capital and revenue capture.
Frequently asked questions
What did this team achieve with this AI workflow?
Cisco identified multiple root causes of invoicing delays and is targeting a 60-day reduction in invoicing follow-up timelines and an increase in perfect order rate from 85% to 90%, improving working capital and reven…
What tools did this team use?
Celonis Process Intelligence Platform.
What results were reported?
Invoicing follow-up timeline reduction: 60 day reduction; Perfect order rate target: 90%; Perfect order rate current: 85%; Revenue capture opportunity: revenue capture opportunity (source-reported, not independently verified).
How is this order processing AI workflow structured?
Identify commerce operations use cases → End-to-end process visibility → Root cause identification and prioritization → Invoicing follow-up timeline target → Perfect order rate improvement.