RFQ Tracking Workflow for Manufacturers — Inquiry to Quote to PO
RFQs are the lifeblood of industrial sales. Generic CRMs treat them as text fields. Purpose-built RFQ workflows capture multi-line requirements, drawings, revisions, and conversion through to PO — visible end-to-end. Here is the operational model that works.
Why generic CRMs fail at RFQs
A typical RFQ is not a deal. It is a structured request: customer needs 200 units of part 4B-T-X-22 by week 14, with drawing rev 3.1, under terms FOB origin. Generic CRMs cannot represent this — they have an Opportunity object with Name, Value, Stage and Close Date. The RFQ details land in a notes field or external Excel.
When RFQ details live outside the CRM, three failures compound. Sales reps cannot search for similar past RFQs. Engineering cannot see RFQ pipeline to plan capacity. Operations cannot trace POs back to original RFQ context. The result is fragmented information across email, Excel and CRM — and quote turnaround that lags competitors.
The five-stage RFQ workflow
- Stage 1 — Inquiry received. RFQ captured with customer, requested items, quantities, target delivery, drawings/specs attached.
- Stage 2 — Engineering review. Technical feasibility check. SLA: 5 business days max.
- Stage 3 — Quote preparation. Multi-line quote with pricing, lead time, terms. Multi-currency PDF generated.
- Stage 4 — Quote sent. Delivered to customer. Auto-follow-up scheduled at 3 and 7 days.
- Stage 5 — PO received or quote lost. Both outcomes documented with reason. Win-rate analytics powered by this data.
What the RFQ record needs to contain
- Header data. Customer, contact, source (email, distributor, event), date received, target response date.
- Line items. Each requested item with part number (yours or theirs), quantity, target unit price, target delivery.
- Technical attachments. Drawings, specifications, sample requirements with revision tracking.
- Commercial context. Currency, Incoterm, payment terms, validity period.
- Internal annotations. Sales notes, engineering feasibility check, margin guidance.
The CRM features that make RFQ work
Three CRM capabilities turn RFQ from a nightmare into a workflow:
- Native RFQ object. Not Opportunity with text fields. A first-class RFQ record with structured lines.
- Document attachment with revisions. Drawing revision history tied to RFQ. Not lost in email threads.
- Quote-from-RFQ generation. Quote PDF built directly from RFQ line items. No double-entry.
The metrics that matter for RFQ workflow
- RFQ volume. Total RFQs received per period. Leading indicator of pipeline.
- Quote turnaround time. Hours from RFQ received to quote sent. Target: 72 hours or less.
- RFQ-to-quote conversion. What percentage of RFQs convert to actual quotes (vs declined).
- Quote-to-order conversion. Win rate on quotes issued.
- Reason for lost RFQs. Categorized: price, lead time, technical fit, competitor.
Together these metrics reveal where the RFQ pipeline leaks. Slow quote turnaround typically loses 5–8% of revenue annually for manufacturers competing on responsiveness.
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