Northwind Lojistik · AI & Automation · 2026
From inbox to quote PDF: an AI agent for a freight forwarder
We designed an agent that reads freight enquiries, asks for missing details and drafts quotes from the rate sheet, with every quote going to an operations specialist for approval.
- Client
- Northwind Lojistik
- Location
- Mersin, Türkiye
- Year
- 2026
- Sector
- Logistics and freight forwarding
- Timeline
- 6 weeks
- Disciplines
- AI & Automation

Where we started
The operations team spent most of the day reading enquiries in every format and writing quotes from a rate sheet. On busy days replies slipped and enquiries were lost.

What we did
We mapped the process and the most common missing details from a week of real enquiries, and built the interface around those steps.
In the inbox, each email is parsed into cargo type, commodity, weight, origin and destination ports, dates and Incoterm. Every field shows a confidence level, doubtful or missing fields are flagged amber, and the question for the customer arrives pre-drafted.
The quote approval screen lays out the rate sheet line by line: cost, sell price, margin rule and tariff validity. Changed lines are highlighted, and the specialist approves or edits in one click.
The approved quote is generated as a two-page branded PDF, sent to the customer and logged to the CRM. A human approves every critical step; our production pipeline is AI-assisted, but the decision stays with the operations specialist.

What we delivered
- 01Process audit
- 02Operations inbox interface
- 03Quote draft and approval screen
- 04Branded quote PDF template
- 05CRM integration and team training
- 06One inbox where every enquiry is logged
- 07A line-by-line rate breakdown with margin-rule checks
- 08A branded, two-page quote PDF
- 09Human approval at every critical step
Team
Process analyst, AI engineer, project lead
Tools we use
Claude · n8n · Gmail API · HubSpot
Portfolio projects are presented to show our team's method and production quality.
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