What it is
An AI layer over the work forwarders already do.
AI freight forwarding software applies machine intelligence to the documents and decisions that fill a forwarder’s day: carrier tariff PDFs that someone has to re-key, inquiry emails that someone has to read and price, customer questions that someone has to answer, and rate libraries that someone has to keep current. An AI freight platform turns those unstructured inputs into structured, governed data — and puts the routine steps on rails while your team keeps the decisions.
The practical test is simple: does the software understand freight? Generic AI tools summarize; freight-specific AI extracts lanes, validity windows, BAF and GRI surcharges, container types, and free time from a carrier document — and knows a quotation request from a customs query when it reads your inbox.
Why now
The Excel-and-PDF era is ending on the sales floor first.
Most forwarder software was designed for the era of EDI and Excel. The pressure point today is speed-to-quote: sales floors are quoting against companies that reply same-hour with a real number. That is why the first wave of practical freight AI concentrates on the buying-rate-to-quote pipeline:
Tariffs arrive as documents
Carrier rates still land as PDFs, Excel sheets, and contract attachments. Getting them into a quotable structure is the bottleneck every other workflow inherits.
Quotes are margin decisions
A quote is not a lookup — it is buying rate plus rules: floors by lane and customer, surcharges that must not be missed, validity that must be honored.
Customers expect self-service
Repeat customers increasingly expect a portal that quotes in seconds under the same rules your sales floor follows — branded as you.
Email is the operating channel
Inquiries, bookings, delays, invoices, and complaints all arrive in one undifferentiated inbox. Reading it is unpaid triage work every team does daily.
The capability map
What a complete AI freight platform covers.
Freightools implements each capability as a focused product on one shared rate library. Adopt the platform whole, or start with the module that fixes your most painful step.
Tariff ingestion & structuring
Tari turns carrier tariff PDFs, contracts, and Excel sheets into structured buying agreements — lanes, validity windows, transit times, surcharges (BAF, CAF, GRI, peak season), free time — with every extracted rate checked against its source clause and approved by your team.
Tari — tariff intelligence →AI quoting on your margin
Miles drafts accurate, on-margin quotes for ocean, air, road, and rail from your own tariff library. Floor margins by lane, customer, and trade are enforced automatically — sales can never quote below the rule without manager approval.
Miles — quote engine →Customer self-service quoting
Instant Quote gives your customers a real, all-in number in about 30 seconds, branded as you, inside the guardrails your team sets. Booking requests land pre-filled in your operations queue.
Instant Quote — self-service →Private email intelligence
AI Email Intelligence reads incoming email and identifies its content categories, priority, and tone — inside a private Freightools AI environment, without sending email content to an external AI provider.
AI Email Intelligence →Rate management as a system of record
Rate Management keeps every contract, surcharge, and customer-specific markup versioned, logged, and reversible — the governed library everything else quotes from.
Rate Management →Operational oversight
AI Command Center gives forwarder leadership a live view of quotes, conversion, margin trend, and exceptions — every metric clickable down to the underlying quote, customer, or tariff.
AI Command Center →Governance
Human-in-the-loop, by design.
Freight AI that works is AI your team can check. Tari is designed for human review, not blind trust — every extracted field links back to the source clause, and most teams approve a tariff in under 10 minutes. Miles applies the margin rules you define; overrides go through approval. Email intelligence classifies; it does not reply or act on its own. The AI does the reading and the drafting — your operators keep the judgment.
And no — it does not replace your TMS.
Freightools is the AI layer above your existing systems: it structures tariffs, governs quoting, and understands communication, while your TMS keeps running operations. Onboarding is measured in days, not quarters — core flows are typically live in about two weeks.
See how onboarding works →Questions forwarders ask about AI freight software
- What is AI freight forwarding software?
- Software that applies freight-specific AI to a forwarder’s daily inputs — carrier tariff documents, inquiry emails, rate libraries, and customer requests — turning them into structured data and governed, on-margin workflows. It sits above your TMS rather than replacing it.
- Is an AI freight platform just a chatbot on top of an LLM?
- No. In Freightools, the LLM is one component, not the product: Tari and Miles are domain-specific systems with carrier-aware extractors, lane logic, and margin rules, and every extracted rate links back to its source clause for human review.
- How long does it take to go live?
- Freightools onboarding is measured in days, not quarters: tariffs load first, quoting rules go live the same week, and core flows are typically running in about two weeks.
- What happens to our data?
- Your tariff library and rate data are private to your organization — never shared across customers. Email classification runs inside a private Freightools AI environment; email content is not sent to an external AI provider. Tari and Miles can optionally run on your own AI provider credentials.
- Where should a forwarder start?
- Start where the pain is: most teams begin with Tari (tariff ingestion) because everything else quotes from that library, then add Miles for on-margin quoting and Instant Quote for customer self-service.
See it on your own tariffs
The fastest way to evaluate an AI freight platform is to feed it your reality.
Book a demo and bring one supplier tariff. We will load it live, show the source-linked extraction, and build an on-margin quote from it in the same session.