Procurement · Production

Miro reduces procurement cycle times by 33% with Zip AI

The problem

Miro's procurement team could not keep pace with rapid company growth; disjointed processes and scattered information across documents and systems created manual, error-prone work with no reliable audit trail.

Workflow diagram · grounded in source
1
Procurement request submitted
trigger
“Zip is used by every department within Miro”
2
Zip AI automates manual tasks
ai_action
“Zip AI has automated processes that used to take a lot of manual effort, helping us avoid human error and ultimately allowing us to focus on more strategic value-added activities”
3
Scattered data consolidated
integration
“by connecting information scattered across various documents and systems, Zip delivered the reliable source of truth Miro was missing before”
4
Insights dashboard output
output
“The Zip insights dashboard allows us to see our cost savings, cycle time, and renewal calendar for any category within the business. I can share information with stakeholders in real time.”
5
Data-informed strategic planning
feedback_loop
“We have the right data to build OKRs and see what results should look like three months from now, six months from now, a year from now”
Reported outcome

Zip reduced Miro's procurement cycle times by 33% and enabled the team to focus on strategic, value-added activities through AI-powered automation and a unified source of truth for all vendor and contract data.

Reported metrics
Procurement cycle time33%
Requests processedthousands of requests
Manual effort in processesprocesses that used to take a lot of manual effort
Human errorhelping us avoid human error
Reported stack
ZipZip AIZip insights dashboard
Source
https://ziphq.com/customers/miro
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Zip reduced Miro's procurement cycle times by 33% and enabled the team to focus on strategic, value-added activities through AI-powered automation and a unified source of truth for all vendor and contract data.

What tools did this team use?

Zip, Zip AI, Zip insights dashboard.

What results were reported?

Procurement cycle time: 33%; Requests processed: thousands of requests; Manual effort in processes: processes that used to take a lot of manual effort; Human error: helping us avoid human error (source-reported, not independently verified).

How is this procurement AI workflow structured?

Procurement request submitted → Zip AI automates manual tasks → Scattered data consolidated → Insights dashboard output → Data-informed strategic planning.

Related procurement cases