Use case
Supplier selection — fewer emails, better prices, faster awards.
Learn from your quoting history and route each RFQ to the few suppliers most likely to respond quickly and price competitively. Reduce supplier fatigue and increase your win rate.
The status quo: spray-and-pray RFQs
Many procurement teams blast every RFQ to large supplier lists. That creates email fatigue, lowers response rates, and wastes time reading unqualified quotes. Worse, it can drive up prices as suppliers learn your requests are long-shot. The right move is to invite only those suppliers who are most likely to quote competitively for this specific part.
What it uses — your signals, not a black box
- Quoting history — prices, wins/losses, response times, validity.
- Performance — quality and on-time delivery trends.
- Capacity & fatigue — recent RFQs received, quote bandwidth, cooldowns.
- Fairness & coverage — rotation rules, category coverage, exploration quota.
Scores are explainable. Each recommendation comes with reason codes you can audit in your RFQ thread and ERP.
How it works
Invite only the most promising suppliers for each RFQ, with transparent reasons and built-in fairness.
Connect your data
Sync RFQ logs, quotes, wins/losses, PO prices, and supplier roster with capabilities and certifications. Imports via API, SFTP, or mailbox.
Build scoring formulas Werk24 & Saphirion
Werk24 and Saphirion build price and acceptance formulas for each of your suppliers.
Integrate
Integrate the solution into your existing workflows (e.g., Salesforce, SAP S/4HANA).
Go Live
You are ready to go live.
Outcomes
Fewer emails for suppliers. Better quotes for you. Faster awards for everyone.
Fewer emails, happier suppliers
Cut broadcast size per RFQ while raising response probability via better targeting.
Higher response & win rates
Prioritize suppliers with a high likelihood to quote and to win this category.
Lower price variance
Reduce overpay risk by learning which suppliers consistently price well.
Explainable picks
Every recommendation includes reason codes and an audit trail for compliance.
Metrics that matter
Quantify uplift vs. your baseline broadcast process.
- Supplier response rate (overall and by category).
- Quote-to-award conversion (lift vs. baseline).
- Avg. suppliers per RFQ (target: fewer, better invitations).
- Median price vs. historical (or target cost) for comparable parts.
- Time-to-first viable quote and time-to-award.
- Supplier fatigue index (emails sent per supplier per 30/90 days).
- Fairness dispersion (share of awards across the pool).
FAQ
Can we cap how often a supplier is invited?
Yes. Set per-supplier frequency caps and cooldowns. The router respects these limits automatically.
What about strategic or mandated suppliers?
Pin suppliers for specific customers or categories. Pinned invites still include reason codes.
Can buyers override recommendations?
Absolutely. Manual overrides are supported and logged with reason codes for continuous learning.
How does this integrate with our RFQ tools?
Use the API to push invitations, track responses, and write back selections to ERP/CPQ/CRM. Mailbox workflows are supported.