Introducing the Future of Freight Intelligence
Vision reads freight documents. ECHO detects anomalies. ORI explains the answers across every stakeholder seat.
Practical AI Built on Trusted Freight Data
Orca builds AI from operator experience, client feedback, and real workflow pain — not because AI sounds good in marketing.
Orca has lived in the client’s shoes: chasing carrier answers, validating freight data, reconciling exceptions, and turning messy transportation information into decisions. That operating experience shapes where AI belongs in the platform.
- ✓We listen to client feedback and prioritize the workflows that actually slow teams down
- ✓We build AI capabilities that improve process speed, data quality, and client experience
- ✓We apply automation where it helps users make better decisions faster
- ✓We avoid building AI for the sake of saying we have AI
- ✓Every capability is designed around practical value for freight audit, operations, and reporting teams
Three AI Capabilities. One Unified Intelligence.
Each pillar covers a different part of the freight intelligence workflow, from raw document intake to anomaly detection to plain-language decision support.
Vision
Vision reads it.
Freight-built OCR turns invoices, BOLs, contracts, and receipts into clean structured data with human-in-the-loop control.
ECHO
ECHO finds it.
Mode-agnostic machine learning listens across freight transactions to detect billing, rate, contract, and behavior anomalies.
ORI
ORI explains it.
Plain-language intelligence lets every stakeholder ask freight questions, trace answers, and decide what to review or act on.
Vision — Document Intelligence / AI OCR
Reads what other systems overlook and turns freight documents into structured, audit-ready data.
Audit-Grade Document Processing
Vision extracts structured data from freight invoices, BOLs, rate confirmations, contracts, and receipts with field-level accuracy that reduces manual data entry.
- ✓99%+ field-level extraction accuracy
- ✓Line-item level detail down to individual SKUs
- ✓Processes invoices, BOLs, rate confirmations, contracts, and receipts
- ✓Zero-hallucination document processing
- ✓Human-in-the-loop validation for audit-grade confidence
- ✓Thousands of documents processed in seconds
- ✓Structured JSON output for seamless system integration
The Problem
Freight documents arrive in dozens of formats—PDFs, scanned images, EDI, email attachments. Manual processing is slow, error-prone, and creates bottlenecks in your audit workflow.
The Orca Vision Difference
Unlike generic OCR tools, Orca Vision is purpose-built for freight. It understands carrier invoice layouts, accessorial codes, rate structures, and freight-specific terminology—extracting not just text, but meaning.
Data Ingestion Where Vision Matters
Vision supports the ingestion layer when OCR is the right tool — turning freight documents, invoices, BOLs, contracts, rate confirmations, and other unstructured sources into clean, usable supply chain data.
- ✓Connects messy document workflows to the same trusted freight data model
- ✓Uses OCR when it improves speed, accuracy, and audit readiness
- ✓Reduces manual data entry without removing the controls clients need
- ✓Normalizes document data before it feeds audit, analytics, anomaly detection, and reporting
- ✓Keeps practical client outcomes at the center of every ingestion workflow
ECHO — Anomaly Detection AI / ML
Hears what others miss: mode-agnostic machine learning that detects billing, rate, contract, and behavior anomalies before they compound.
Pattern Recognition Models
Identifies recurring billing patterns, rate structures, and carrier behaviors that rules-based systems miss.
Behavioral Anomaly Detection
Detects deviations from expected carrier and cost behaviors using statistical models trained on your data.
Continuous Model Refinement
Models improve over time as they learn from your operational patterns, exception resolutions, and audit outcomes.
Predictive Cost Modeling
Forecasts cost trends and surfaces optimization opportunities before they impact your bottom line.
Mode-Agnostic Detection
Analyzes parcel, LTL, FTL, ocean, air, rail, and intermodal data without being locked to one mode or carrier format.
Pattern Change Monitoring
Identifies deviations in lanes, accessorials, service behavior, carrier charges, and cost-to-serve signals.
Compounding Cost Control
Flags small-dollar anomalies early so teams can stop recurring leakage before it becomes material.
How It Works
Data Ingestion
Freight data flows in from carriers, ERPs, and TMS systems across all modes and formats.
AI Normalization & Structuring
Raw data is cleaned, standardized, and structured into a unified freight data model.
Model Training & Anomaly Detection
Machine learning models analyze patterns and flag billing anomalies, contract misalignments, and cost deviations.
Insight Surfacing
Actionable insights are delivered through real-time dashboards, alerts, and executive reports.
Continuous Feedback Loop
Every resolution, approval, and override feeds back into the models—making the system smarter with every cycle.
ORI — AI Supply Chain Agent
Your freight data has answers. ORI lets every seat at the table ask in plain English, retrieve source-linked intelligence, review the evidence, and act.
Built for Every Seat at the Table
From the C-suite to the operations floor — one AI that speaks every stakeholder's language.
Why did our parcel costs spike 14% last month?
How ORI Works
Ask. Retrieve. Trace. Review. Act. Every answer is grounded in your freight data.
Ask
Pose freight questions in plain English. No SQL, no dashboards to navigate — just answers.
- "Why did costs spike last month?"
- "Which carriers have the worst on-time rates?"
- "Show me our top 5 savings opportunities"
Retrieve
Draws on carriers, contracts, TMS/ERP, invoices, and audit history as one source of freight truth.
- Carrier and contract context
- Invoice and shipment history
- Audit records and exception notes
Trace
Every answer is source-linked back to actual freight data so teams can review the evidence.
- No hallucinated figures
- Variance sources visible
- Reviewable audit trail
Review
Human-in-the-loop control keeps sensitive answers reviewable before they become reports, recoveries, or client-facing decisions.
- Approval-ready outputs
- Sensitive answer controls
- Source-backed review flow
Act
Turns insight into reports, recovery follow-up, carrier questions, and decisions that compound over time.
- Reports and executive briefs
- Recovery and review queues
- Operational next steps
Questions ORI Can Answer
Role-specific answers for finance, transportation, supply chain, IT, and operations.
“Why did our parcel spend increase 14% this quarter?”
Instantly traces root cause across carriers, surcharges, and volume changes — with recovery recommendations.
“Where did we miss carrier volume commitments last quarter?”
Identifies every carrier short of committed volume and builds a side-by-side variance comparison for review.
“Are any cost-to-serve metrics above budget?”
Breaks down cost-to-serve against budget by region and lane, flagging every variance for review.
“What percentage of invoices are manual or paper?”
Splits invoice volume by submission type and surfaces which carriers still send paper — Vision OCR targets.
Why This Isn't Just Another AI Chatbot
Generic AI tools hallucinate. ORI is grounded in your actual freight data.
Built Around Freight-Audit Workflows
Not a generic AI bolted onto freight. The assistant is designed around how audit, finance, operations, and client teams actually ask questions about freight data.
Your Data Never Leaves Your Instance
Enterprise-grade isolation. Your freight data trains your models only — never shared, never commingled, never used to train other clients.
Gets Smarter Every Cycle
Every audit resolution, every exception override, every approved recovery feeds back into the model. Accuracy compounds over time.
Structured Reasoning, Not Hallucination
Every insight is grounded in your actual data with traceable sources. No guessing, no fabricated statistics — auditable intelligence.
Powered by Every Data Source in Your Freight Ecosystem
The AI analyst doesn't work in isolation. It draws from every system Orca connects to — creating a single source of truth for your entire supply chain.
Ask
Natural-language questions
Use plain English instead of digging through reports
Trace
Source-linked answers
Every important claim should point back to data
Review
Human-in-the-loop control
Sensitive outputs stay reviewable before action
Act
Operational next steps
Turn insight into follow-up, reports, or decisions
Ready to ask your freight data a question?
Book a live demo and see ORI work on your actual data. No generic slides — just your numbers, your carriers, your answers.
No credit card required • Free analysis of your freight spend • Enterprise-ready security
This transforms freight data into a self-improving system.
Not a static report. Not a rules engine. A living intelligence layer that gets smarter with every shipment, every invoice, every exception.
See Orca AI in action
Book a demo to see how Orca’s machine learning models detect what traditional audit systems miss.