Requests arrive as prose
The brief is buried in an email.
Lanes, volumes, commodities, and deadlines hide inside paragraphs, attachments, and follow-up threads.
A junior operator reads and re-types every detail before pricing can start.
Freight Forwarders · Sales
Turn inbound RFQs
into ready-to-price quotes.
StarDox reads RFQ emails, spreadsheets, and portal submissions, extracts every lane, commodity, and requirement, and assembles a structured quote request your sales desk can price in minutes — not after a day of chasing details.
Works with your inbox and CRM. Onboard in ~15 minutes, read-only.
Shipper
RFQ
StarDoxGenAI · optimize
Proposal
Approval
TMS
The problem
Pricing an RFQ starts with hours of reading and re-keying.
Detail gaps cost deals
Missing fields stall the quote.
An unflagged DG cargo or absent ready-date means a back-and-forth that pushes the quote past the window.
Slow, incomplete quotes lose to whoever responds first.
Nothing reaches the CRM clean
Pipeline data is an afterthought.
RFQs that never become structured records leave sales blind to volume, win-rate, and lane demand.
Forecasting runs on guesswork instead of real demand signals.
How it works
From inbox to priceable quote request — automatically.
StarDox Agentic AI unlocks the value trapped in unstructured requests, turning them into standardized, enriched, ready-to-price records.
01
Capture
StarDox ingests RFQ emails, spreadsheets, and portal submissions across every inbox and channel.
02
Extract
Lanes, equipment, commodities, Incoterms, deadlines, and special-handling flags are pulled into one clean structure.
03
Validate & enrich
Missing fields are detected, DG and compliance flags raised, and each request scored for completeness before pricing.
04
Sync
Structured requests flow into your quoting tools and CRM, ready to price — with the source thread always attached.
Measurable ROI
Respond first. Price with confidence.
Cutting quote turnaround to minutes, lifting win rates, and giving sales clean pipeline data — with measurable ROI from day one.
Time to First Quote
1 day→12 min.
Request Completeness
55%→100%
Quotes per Operator
8 / day→40 / day
+18%
Higher win rate on quotes answered first.
100%
Of RFQs captured as structured pipeline records.
Get started
Stop reading RFQs. Start pricing them.
Forward a sample RFQ and watch StarDox extract, validate, and structure it into a ready-to-price request — in a limited, read-only review. Onboard in about 15 minutes.