shipAI is built for GTA quoting teams at carriers, brokers, and 3PLs handling repeat RFQs. The demo shows the pain it targets: copied lane details, missing class or accessorial signals, contradictory shipment fields, and follow-up notes that still need human review before pricing.
shipAI prepares the quote draft and follow-up context. Final pricing still stays with your contracts, tariffs, surcharges, and approval policies.
Most repeat RFQ delay starts before a rate is selected: scattered emails, incomplete fields, class uncertainty, accessorial risk, and unclear follow-up. shipAI narrows the job to making that intake reviewable.
Read the inbound request, normalize units, and extract origin, destination, dimensions, packaging, service constraints, and missing-info prompts into a clean draft payload.
Catch incomplete accessorials, class/NMFC ambiguity, unsupported service details, and conflicts between the message body and attachments before bad data moves downstream.
Surface reason codes and low-confidence cases so the team sees why a draft changed before acting on it or asking the customer for clarification.
Ship structured output, reviewer decisions, and customer follow-up notes to the systems already running pricing, approvals, and communication.
The homepage should match what the public demo actually shows: cleaner intake, visible qualification risk, and an explanation trail a pricing reviewer can trust.
Convert email chains, PDFs, and form submissions into consistent quote-ready fields with unit normalization, schema checks, and missing-info prompts.
Surface the fields that are expensive to miss: class candidates, liftgate risk, limited access, appointment requirements, and other qualification triggers.
Keep reviewer edits, confidence scores, reason codes, and follow-up decisions attached to the quote package so teams can coach, audit, and tune operations over time.
The sample lane is built around the work that slows quoting teams down: missing shipment details, class and accessorial risk, unclear quote movement, and customer follow-up that has to be written before a reviewer can price with confidence.
Built for quoting teams handling repeat RFQs, not one-off public freight shopping.
Public planning model refreshed from reviewed public scenarios.
Public ranges are not binding quotes. No customer codes, raw costs, carrier contracts, procurement rows, credentials, or markup tables are used by this page.
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Preparing public scenarios.
Planning range only. Firm quote requires lane review.
Want this on your own GTA lane? Request GTA Pilot and we will review the intake gaps, lane assumptions, qualification checks, and follow-up steps behind it.
Start with one quoting lane, one reviewer group, and a small set of success metrics. The pilot is designed to prove throughput and risk handling before broader rollout.
Pick one RFQ channel, one service type, and one region or customer segment with enough volume to generate real operational feedback.
Capture reviewer actions, tune extraction rules, tighten prompts, and validate how exception routing behaves under real quoting pressure.
Review median response time, clarification rate, structured RFQ ratio, and re-rate trend before deciding what to scale next.
Integration should read as an operational flow, not a list of vendor nouns.
Ingest inbox traffic, PDFs, shared folders, and web forms with controlled field mapping and validation.
Normalize the request, rank class or NMFC candidates, and route the uncertain cases with evidence for analyst review.
Push structured quote drafts, decision logs, and reviewer outcomes into the systems already running pricing and customer communication.
The point is not generic enterprise language. The point is keeping sensitive shipment and pricing-adjacent decisions visible, controlled, and reviewable.
Share the current intake channel, quoting volume, and where your team gets blocked: missing fields, repeated retyping, class/accessorial uncertainty, or customer clarification loops. We will respond with a GTA pilot scope, sample requirements, and success metrics tailored to your operation.
Best for GTA carriers, brokers, and 3PL teams evaluating repeat RFQ workflows with reviewer approval requirements.