From 30 Minutes to 45 Seconds: A Quoting Transformation

For one logistics provider based in Singapore (name anonymized for privacy), the morning routine was a nightmare. Their 15-person specialized projects team would arrive at 8:30 AM to find over 400 unread emails waiting for them.

Reviewing these emails, identifying which were RFQs, looking up rates in Excel sheets, and drafting replies took nearly until lunch. By the time they responded to quote requests from the previous night, they were often 12+ hours late.

The "Manual Loop" Bottleneck

Their process was standard for the industry:

1. Open email.
2. Read PDF attachment to find Origin/Destination/Volume.
3. Open "Master Rate Sheet v44_Final.xlsx".
4. Find the lane rate.
5. Calculate margin manually.
6. Type email reply.

Average time per quote: 28 minutes.
Error rate: 1 in 20 quotes had a typo (wrong currency or weight unit).

The Transformation

They deployed Fraxor to handle the "first pass" of all incoming emails. We connected our AI agents to their read-only email API and uploaded their rate sheets into our secure context vector store.

The new workflow looked like this:

1. Email arrives.
2. Fraxor AI detects it is an RFQ.
3. AI extracts data and looks up the rate.
4. AI drafts the standard reply email with the correct price calculated.
5. Agent saves it to "Drafts" folder and tags it "Ready for Review".

The human operator now just opens the "Ready for Review" folder, checks the numbers, and hits send. If the AI is unsure, it flags it for manual review.

The Results

After 30 days of running the pilot, the metrics spoke for themselves.

The biggest win wasn't just the speed—it was that the senior operators stopped doing data entry. They started spending their mornings calling key accounts and negotiating better rates with carriers, work that actually drives high-level growth.