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Case Study Enterprise Freight Forwarder

From Inbox Chaos to Structured, Ready-to-Price RFQs — Automatically

Enterprise-grade RFQ email intelligence system that monitors incoming RFQ emails, classifies them, detects missing info, auto-sends clarification emails, and delivers structured ready-to-price RFQs — achieving 85% faster quote turnaround.

85% Faster quote turnaround

The Challenge

What They Were Dealing With

The sell-side quoting process was drowning in unstructured email. RFQ emails arrived from customers in every conceivable format — free-text emails, PDF attachments, Excel rate request templates, forwarded chains with critical details buried three replies deep, and even scanned handwritten notes. Each RFQ required a different set of fields depending on mode (ocean FCL, LCL, air, road), trade lane, and commodity type, but customers rarely provided complete information upfront. Sales representatives spent an average of 45 minutes per RFQ just parsing the email, identifying what shipment details were present, determining what was missing, and composing clarification emails back to the customer. The back-and-forth clarification cycle typically added 2–4 hours to quote turnaround, with some RFQs bouncing back and forth for days before all required fields were captured. During this time, the RFQ sat in a personal inbox with no visibility to the wider team — if the rep was out sick or on leave, the RFQ simply stalled. There was no standardised intake format, no tracking of clarification status, and no way to measure how long each stage of the quoting process actually took. The result: slow quote turnaround, inconsistent win rates, and a sales team that spent more time on email administration than on actual pricing and customer relationships.

What We Built

The System

1

RFQ email monitoring and classification — automatically detects and categorises incoming RFQ emails across inboxes

2

Missing information detection — AI identifies incomplete fields and gaps in RFQ data

3

Auto-clarification engine — generates and sends contextual clarification emails to customers, continuing the conversation until complete

4

Structured RFQ delivery — delivers fully structured, ready-to-price RFQs to operators with all required fields populated

5

Auto-quotation response generation — creates quotation responses based on structured RFQ data and pricing rules

Results

Measurable Impact

85%

Faster quote turnaround

Average time from RFQ receipt to structured, ready-to-price output dropped from 4.5 hours to 40 minutes

3x

More quotes processed per person

Sales reps handle 3x the RFQ volume without additional hires

< 5 min

Auto-clarification cycle time

Missing information detected and clarification emails sent within 5 minutes of RFQ receipt

Tech Stack: PythonLangGraphAzuren8nOpenAI

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