AI Email Automation for Freight Forwarders

80% of Freight Forwarding Runs on Email

Rates arrive by email. RFQs arrive by email. Bookings, pre-alerts, arrival notices, tracking requests, and partner quotes — they all land in an inbox, and most of them die in a thread. The average forwarding operation runs its real workflow inside Outlook or Gmail, then re-types the outcome into a TMS after the fact.

That gap is the single biggest source of lost time and lost data in forwarding. Every re-typed booking is a data-entry risk. Every unanswered RFQ is a lost quote. Every rate sheet that stays in one person's inbox is company knowledge the company doesn't own.

Zavin was built around a simple decision: start where the work starts. Instead of adding another system that waits for humans to type into it, the platform connects to your inboxes and does the inbox work itself.

What Zavin Does With Every Inbound Email

Every inbound message is read and classified in real time: RFQ, booking confirmation, rate sheet, schedule request, tracking request, document, complaint, or general correspondence. Classification is only the first step — the point is what happens next.

Depending on the type of email, Zavin acts:

• •RFQs are extracted into structured shipment details and priced — origin, destination, equipment, Incoterm, commodity, ready date.
• •Booking confirmations become shipments, with the job file, documents, and milestones created automatically.
• •Rate sheets and partner quotes are parsed into a company-wide rate database.
• •Tracking and schedule requests are answered automatically from live carrier data.
• •Documents are filed against the right shipment without anyone dragging attachments into folders.
• •Routine correspondence gets a context-aware draft reply — or is sent automatically once you allow it.

Replies With Full Customer Context

A freight reply is only useful if it knows the freight. Zavin drafts replies with the customer's full history in view: active shipments, past quotes, agreed rates, preferred lanes, and open issues. It writes like an operator who has the file open — because it does.

That context is what separates an AI operating system from a generic email assistant. A generic tool can summarize a thread; it cannot quote a lane, reference the right House B/L, or know that this customer ships FOB Shanghai every second week.

From Email to Quote in Under 30 Seconds

When the inbound email is an RFQ, the email module hands off to Pricing & Quote Automation. Shipment details are extracted, partner and carrier rates are collected and compared against your target margin, and a branded quote goes back — in under 30 seconds when rates are on file.

Teams using this workflow cut RFQ processing time by up to 85%, and pilot teams have seen quote win rates improve by 6 percentage points — largely because the fastest credible quote usually wins the business.

From Booking Email to Live Shipment

When a customer confirms, nobody re-types the booking. Zavin creates the shipment from the confirmation email with zero manual data entry: job file, references, documents, and milestone plan. Pre-alerts and status updates then go out to the customer automatically as the shipment moves.

This is the moment most forwarders feel the difference. The email didn't just get answered — it became operational data that the whole company can see, report on, and act on.

Every Rate Email Becomes Company Intelligence

Carrier rate sheets and partner quotes arrive in individual inboxes all day. Zavin parses every one of them into a single, company-wide rate database — searchable by lane, carrier, validity, and equipment. Your rate database builds itself as a side effect of reading the mail.

The result: when the next RFQ arrives, pricing doesn't depend on who happens to remember which inbox the rate landed in.

Your Team Keeps Approval Control

Automation without control is a liability in a business built on trust. Every automated action in Zavin runs inside rules you set: which email types can be answered automatically, which need a human review, which quotes need margin approval, and who gets escalations.

Every AI action is logged in a full audit trail, and field-level access control decides who can see what — by role, branch, and country. You can start with drafts-only mode and expand automation as confidence grows.

Why a Legacy TMS Can't Do This

A legacy TMS is a system of record. It stores what already happened — after someone reads the email, interprets it, and types it in. Email management tools go one step further and organize the inbox, but they still leave the work to people.

Zavin is built the other way around: the inbox is the front door of the operating system, not an external annoyance. Reading, understanding, and acting on freight email is the platform's core competency — and everything else (quoting, shipments, tracking, reporting) is connected to it.

Live in Under 14 Days

Email automation deploys against your existing inboxes — Gmail and Outlook are supported — so there is no migration and no IT project. Week one connects your mailboxes and configures workflows; week two runs live traffic with your team reviewing the AI's work. Most teams are live in under 14 days.

Because Zavin works alongside CargoWise, Magaya, and other systems, you don't have to replace anything to start. The inbox is the wedge; the rest of the platform is there when you want it.