The Enterprise AI quoting platform
built for freight brokers.
FreightSurge reads inbound quote requests, pulls lane history and pricing context, and drafts ready-to-send replies — directly inside the inbox your team already uses.
- Faster response time
- 20 min
- Win rate improvement
- +15%
- Saved per broker per day
- 2 hrs

Interactive demo
See FreightSurge inside the inbox.
Click any quote request, review the account history, and hit Create Quote to watch FreightSurge extract shipment details, suggest a rate, and draft a reply.
Quote Request: Houston → Dallas | Dry Van | April 5th
Hi Musa,
Hope you're doing well! I have a shipment I need to move next week and wanted to get your rates.
Details:
- - Origin: Houston, TX (zip: 77001)
- - Destination: Dallas, TX (zip: 75201)
- - Equipment: Dry Van (53')
- - Commodity: Consumer Electronics (non-hazmat)
- - Weight: 42,000 lbs
- - Pickup Date: April 5, 2026
- - Delivery Date: April 6, 2026 (next-day)
- - Pallets: 24 standard pallets
We're looking at a budget of around $2,200 all-in. We've been running this lane fairly regularly so hoping you can stay competitive.
Let me know what you can do!
Thanks,
Mike Chen
Logistics Manager
Global Logistics Inc.
(713) 555-0192
mike.chen@globallogistics.com
Built for the systems freight teams already run on
Who it's for
Built for the teams that live in the freight inbox.
If quote-style email is the front door of your business, FreightSurge meets your team where they already work — without changing a single tool in the stack.
Freight brokerages
Spot and contract sales desks fielding inbound quote requests across dry van, reefer, flatbed, and intermodal — every minute of response time is a load won or lost.
3PLs and 4PLs
Multi-modal logistics providers triaging quote-style email across truckload, drayage, LTL, and project freight from the same inbox and the same TMS.
Shared-inbox sales teams
Teams running on quotes@, sales@, or ops@ where coverage rotates, after-hours triage matters, and inbound never stops.
Specialty haul desks
Reefer, flatbed and heavy-haul, oversize, and white-glove brokerages where pricing logic is custom and the email volume is constant.
How it works
From inbound email to ready-to-send quote — in minutes.
Five stages, one workflow. FreightSurge runs each step inside your existing inbox so brokers stay in control of every reply.
Quote Email Arrives
Please provide a rate for a dry van shipment from Houston, TX to Dallas, TX.
Pickup: April 5th
Thanks,
Acme Transport
Inbound quote request received in your inbox.
AI Extracts Shipment Details
AI reads the email and structures the key shipment details.
Lane History + Pricing Context
We analyze lane history, past loads and market data to build pricing context.
Quote + Draft Response
Thank you for the opportunity. We can move this shipment for $2,350.00.
Pickup: April 5th
Please let me know if you'd like to move forward.
Best regards,
Your Company
AI generates a competitive quote and drafts a professional reply.
Broker Reviews & Sends
Review the draft, make any edits, and send to your customer.
Broker reviews the draft and approves to send with one click.
The freight quoting problem
The inbox is the bottleneck. We move it from manual to AI-assisted.
Manual, fragmented, slow.
- Quote requests scattered across inboxes and shared mailboxes
- Pricing context locked in spreadsheets, TMS, and DAT tabs
- Slow turnaround time costs brokers loads and margin
- No standardized way to draft, review, and approve replies
Structured, contextual, fast.
- Reads inbound quote emails the moment they arrive
- Pulls lane history, customer profile, and live spot rates
- Drafts a reply in your tone, ready for broker review
- Audit trail for every quote sent — built in, not bolted on
Workflow intelligence
Every quote teaches the system something useful.
FreightSurge does more than help your team reply faster. Each interaction is structured, scored, and analyzed — so leadership gets a live read on quote volume, win rate, and rep performance without building a dashboard.
- Per-rep response time and win rate
- Lane-level pricing health and margin trends
- Customer-level health and at-risk signals
Quote volume
Per weekWon vs Lost
Insights
Notes from inside the freight inbox.
Field research, product thinking, and engineering posture from the team building AI quoting for enterprise brokerages.
Why freight quoting is the next AI-native workflow inside the enterprise
Quote requests live where AI is finally good enough to be useful: unstructured email with structured intent. Here is what that means for brokerages over the next 24 months.
Inside the inbox: what 15,000 quote emails a day taught us about freight email
We ingest more than 15,000 inbound freight quote emails every day across pilot deployments. The patterns explain why generic AI tools struggle and what a freight-native model has to get right.
Building AI agents you can actually trust in regulated freight workflows
Freight is not a green-field consumer use case. Real money, audit trails, and customer relationships are at stake. Here is the engineering posture we use to ship AI features brokers will hand a customer.
FAQ
Procurement, security, and integration — answered.
The questions enterprise teams ask before week two of evaluation. If we missed yours, ask the team directly.
Does FreightSurge train AI models on our customer data?
No. We never train shared models on your customer emails, lane history, or pricing data. Customer-specific intelligence stays customer-specific. Retrieval over your historical loads happens against your own data, scoped to your brokerage, with audit logs on by default.
How long does setup take and what does it require from our IT team?
A standard pilot deploys in less than one business day. Your team installs the FreightSurge add-in across Microsoft Outlook or Google Workspace, we connect to your TMS through its existing API, and we point retrieval at your last 18–24 months of historical loads. No code is shipped to your servers; we work over standard OAuth and read scopes you control.
Which email and TMS systems does FreightSurge integrate with?
On the email side, we support Microsoft Outlook (web and desktop) and Google Workspace Gmail. On the TMS side, we integrate with the major U.S. freight brokerage platforms — including McLeod LoadMaster, Turvo, MercuryGate, and Aljex — and benchmark suggested rates against DAT and Truckstop. New TMS connectors are typically built within two weeks for enterprise customers.
Where is our data hosted, and what is your compliance posture?
FreightSurge is hosted in the United States by default, with region isolation available for enterprise plans. Data is encrypted in transit (TLS 1.2+) and at rest (AES-256). SOC 2 Type II is in progress. Audit logs cover every AI draft, broker edit, and outgoing send — and they are retained for the duration of your contract.
Are AI drafts ever sent to customers automatically?
No. Every draft is reviewed and sent by a human broker. Human-in-the-loop is the design, not a fallback. The broker sees the suggested rate, the lane history that produced it, the comparable spot benchmark, and the confidence score on every extracted shipment field before clicking send.
How is pricing logic adapted to our brokerage and not a generic model?
Pricing context is retrieved at draft time from your own historical loads — not from a global model. The draft pane shows the specific past loads that informed the suggested rate, with their dates and rates, alongside the live spot benchmark from your preferred index. This is what makes a quote auditable: a broker or a procurement team can answer "where did this number come from" in five seconds.
How do we evaluate FreightSurge against our existing process?
We start every enterprise engagement with a one-week passive baseline on your real inbox: median quote response time, response rate inside two hours, win rate by lane, and broker hand-time per quote. The numbers are yours regardless of whether you move forward. After the pilot quarter, we benchmark the same metrics against the baseline so the impact is defensible to your leadership team.
Ready when you are
Bring AI quoting into the inbox your team already uses.
Talk to our team about a 30-minute walkthrough on your real inbound quote requests. No data leaves your environment.
