AI Quoting Automation for Carriers

Quote Faster.
Reduce Re-Rates and Rework.

shipAI turns inbound RFQs into audit-ready quote drafts: structured fields, validation, classification suggestions, and exception flags—while your existing rate engine remains the source of truth.

Request a Demo View Pilot Plan
Inputs
Email / PDFs / RFQ forms / EDI
Parse messy requests into structured quote-ready data.
Decision support
Class/NMFC + accessorial risk
Confidence scores, reason codes, and “needs review” queue.
Outputs
Quote draft + audit trail
Write back to your CRM/TMS/portal via API/webhooks.
Designed for phased rollout with measurable KPIs.
Workflow

From RFQ to Quote Draft in Minutes

shipAI accelerates the “before rating” work: extraction, validation, classification signals, and exception flags.
Step 01
Parse RFQ
Extract addresses, units, weights/dims, packaging, commodity text, service constraints.
Step 02
Validate & Fill Gaps
Detect missing/contradicting fields; request clarification; normalize units.
Step 03
Suggest Class/NMFC
Provide confidence + reason codes; route low-confidence cases to human review.
Step 04
Generate Quote Draft
Output structured payload to your existing quoting/rate workflow with an audit trail.

Modules

Quoting Prep

RFQ Parsing & Field Validation

Turn unstructured requests into quote-ready fields with unit normalization and conflict detection.

Inputs: email/PDF/RFQ form/EDI
Processing: validation rules + confidence
Outputs: structured quote payload + “missing info” checklist
Classification

Class/NMFC Suggestions

Suggest freight class/NMFC candidates with reason codes and a human review queue for edge cases.

Inputs: commodity text + dims/weight + packaging
Processing: candidate ranking + confidence
Outputs: suggested class/NMFC + evidence trail
Accessorial Intelligence

Exception & Surcharge Flags

Identify risk of accessorials and exceptions early (e.g., liftgate, appointment, limited access) for review.

Inputs: address, service notes, commodity cues
Processing: rules + ML signals
Outputs: flags, recommended questions, routing
Governance

Audit Trail & Human-in-the-Loop

Every suggestion includes confidence, reason codes, and review outcomes—ready for training and audits.

Inputs: model outputs + reviewer actions
Processing: versioning + logs
Outputs: audit exports + continuous improvement data
Not a rate engine replacement

shipAI improves quoting inputs — your pricing rules stay in control.

  • • shipAI does not calculate the final price.
  • • shipAI outputs suggestions + validation: structured fields, class/NMFC candidates, accessorial flags, and review queues.
  • • Final pricing remains with your contracts and systems: contracted rates, fuel surcharges, accessorial charges, and exception rules.
Classification matters

Small errors become big costs.

In LTL, misclassification and incomplete shipment details drive rework, disputes, and re-rates. NMFC updates can also change LTL classification and quoting preparation workflows over time.

4–6 Week Pilot Blueprint

Scope

One segment, one workflow

  • • RFQ channel: email/PDF or RFQ form
  • • One customer tier: spot or contract
  • • One region/lane set
Deliverables

Quote drafts + review queue

  • • Structured extraction payload
  • • Validation + missing-info checklist
  • • Class/NMFC suggestions + confidence
  • • Audit log export
Success metrics

Measured impact

  • • Quote response time (median / p90)
  • • Rework / clarification rate
  • • Re-rate / dispute rate (if available)
  • • % of RFQs auto-structured

Integrations

Inputs

Email / Docs / Forms

Ingest RFQs from inboxes, shared folders, PDFs, and web forms.

  • • PDF/image documents
  • • Email parsing
  • • CSV/SFTP batch
APIs

Webhooks / REST

Send structured quote payloads and review outcomes to your existing systems.

  • • JSON payload + reason codes
  • • Webhooks for workflow actions
  • • Audit log export
EDI

EDI Feeds

Support EDI-based workflows with controlled mapping and secure delivery.

  • • Controlled mapping
  • • Secure delivery (SFTP/AS2 where applicable)
  • • Change-managed rollout

Security & Governance

Enterprise controls

  • • Role-based access control (RBAC)
  • • Encryption in transit and at rest
  • • Audit logs for suggestions and reviewer actions
  • • Data retention and deletion policies

AI governance

  • • Confidence scoring + human review workflows
  • • Reason codes + evidence links
  • • Model/version tracking
  • • Policy overrides for high-impact quotes
Request Security Brief

Request a Quoting Pilot

Tell us how RFQs arrive today. We’ll propose a pilot scope, required samples, and success metrics.

Or email: bryan@shipai.com
Ask for: Security brief • Integration spec (JSON + webhooks)