How a mid-sized parts manufacturer could cut RFQ response time by 90%
A walk-through of how Delynt's RFQ triage, auto-reply, and forecasting would apply to a typical industrial parts manufacturer — built to show the mechanics, not a claimed customer result.
- Industry
- Industrial parts manufacturing
- Team size
- ~200 employees
- Tools in place
- CRM + shared inbox + spreadsheets
- Scenario type
- Illustrative — not an actual customer
The problem
RFQs arrive by email as PDFs and spec sheets, landing in a shared inbox that three people check inconsistently. First response often takes most of a business day, and by the time a rep replies, some buyers have already gotten a quote from a competitor. Meanwhile, a meaningful share of inbound is low-intent — price shoppers and bot-submitted forms — but it takes a human read to tell the difference.
The solution
Delynt connects to the shared inbox and CRM directly. Inbound RFQs are parsed — including attached spec sheets — scored for spam and buyer trust, and routed to the right rep with a drafted reply ready to send. Routine requests get an auto-sent response within minutes; anything ambiguous is flagged for a human before it goes out.
R. Alden — Alden Industrial Supply
2:14 PMQuote request — 2000 units, powder-coated bracket
“Hi, can you send pricing and lead time for 2,000 units of the bracket in last month's spec sheet? Need it by end of quarter.”
Reply sent
Auto-sent“Thanks for the details — pulling pricing for 2,000 units now. Based on your last order, expect a quote within one business day. Flagging this to your rep, Sam, for lead time confirmation.”
The outcome (illustrative)
These are the kinds of shifts this workflow is designed to produce — illustrative targets based on how the system works, not a measured result from a live account.
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