RFQ Process Automation
RFQ process automation uses AI agents to assemble quote packages, chase supplier responses, and normalize quotes into side-by-side comparisons. Fragment handles the coordination work that consumes 40-60% of a buyer's time – on the systems you already run.
Where the manual work comes from.
The manual labor in RFQs is rarely the sourcing decision. It is the coordination around it – assembling packages, tracking responses, and turning inconsistent quotes into something comparable.
Package assembly is manual
Specs come from engineering systems, approved supplier lists live somewhere else, and formatting the package for distribution is its own job.
Tracking lives in spreadsheets
Who has responded, who is overdue, and who needs a nudge is managed through inboxes and a tracker that is always slightly stale.
Quotes arrive in every format
PDFs, emails, and portal entries have to be normalized by hand before any comparison can happen.
Admin overhead caps throughput
The coordination burden limits how many RFQ cycles each buyer can run, which becomes the bottleneck for the whole category plan.
How Fragment runs the workflow.
Fragment's agents run the RFQ cycle end to end, from package assembly to a logged outcome.
1. Assemble the package automatically
Agents pull specifications, quantities, and requirements from connected systems, check the approved supplier list, and prepare the package for distribution.
2. Distribute and track responses
Deadlines are tracked per supplier, and non-responsive suppliers get automatic follow-ups under the escalation policy you configure.
3. Normalize every quote
Incoming quotes are parsed regardless of format and structured into side-by-side comparisons on price, lead time, and terms.
4. Record the outcome with an audit trail
All RFQ activity, responses, and outcomes post back into your procurement system, so the record is complete without anyone re-keying it.
The same workflow, with and without Fragment.
- Buyers assemble RFQ packages by hand from multiple systems
- Response tracking lives in spreadsheets and email threads
- Quotes arrive as PDFs, emails, and portal entries that resist comparison
- Follow-ups happen when someone remembers
- Each buyer runs fewer cycles than the category plan needs
- Agents assemble packages from connected systems automatically
- Every supplier deadline is tracked with automatic follow-up
- Quotes are normalized into side-by-side comparisons
- Escalations run on the policy you set
- 2-3x more RFQ cycles per buyer
What changes when agents take the volume.
- 50-70% reduction in buyer hours spent on RFQ administration
- 2-3x increase in RFQ throughput per buyer
- Faster cycle times from request to awarded quote
- Complete audit trail on every RFQ
- Comparable quotes without manual re-formatting
Frequently asked questions.
What is RFQ process automation?
RFQ process automation uses AI agents to assemble quote packages, distribute them to qualified suppliers, chase responses, and normalize quotes into side-by-side comparisons. Buyers keep the sourcing decision and lose the coordination work.
How do agents handle supplier responses in different formats?
Quotes arriving as PDFs, emails, or portal entries are parsed and normalized into a consistent structure, so price, lead time, and terms can be compared side by side without manual re-formatting.
Can we set our own follow-up and escalation rules?
Yes. Response deadlines, reminder cadence, and escalation policies are configurable, and agents apply them consistently across every supplier.
Does Fragment replace our sourcing or procurement platform?
No. Fragment runs on top of the systems you already use, pulling specs and supplier lists from them and writing outcomes back with a full audit trail.
How long does deployment take?
Fragment connects to your existing systems through secure APIs and standard connectors, with no data migration. Typical time to first value is two to four weeks from kickoff to agents running live RFQ cycles, with ROI visible within days of going live.
Deploy on your systems and automate this workflow.
Fragment deploys on top of the systems you already run, with no data migration, and expands across your source-to-pay workflows as the savings land.
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