Mimasa AI™
Use Case • Logistics & Transportation • Finance & Accounting

Freight Audit and Invoice Automation With AI

Capture freight invoices, verify charges against shipment and commercial records, and route discrepancies to the right reviewer. Mimasa AI turns freight audit from a manual checking exercise into a governed, evidence-linked workflow.

Use AI agents, validation rules and human approvals around your existing TMS, ERP and accounts-payable systems. Improve logistics invoice processing without replacing the systems of record or surrendering financial control.

Evidence-linked validation | Human approvals | Role-based access | Auditable workflows | Cloud, private-cloud/VPC and on-premise deployment

The Gap

Freight Invoices Carry More Than a Total

A carrier invoice may contain base freight, fuel surcharges, accessorial charges, taxes, dimensional weight, detention, handling fees and references to several operational records.

Finance teams must determine whether the charge belongs to the correct shipment, whether the billed service occurred, and whether the amount follows the agreed commercial terms.

That evidence often sits across invoices, TMS records, rate cards, contracts, purchase orders, proof-of-delivery documents, email and ERP data. Manual checking becomes slow and inconsistent, while paying without enough verification creates avoidable risk.

Mimasa connects the available evidence and turns discrepancies into structured work.

A Freight Invoice Audit May Verify

  • Carrier, invoice and shipment references
  • Origin, destination, mode and service level
  • Weight, volume or dimensional inputs
  • Base freight and contracted rates
  • Fuel and accessorial charges
  • Delivery and proof-of-service evidence
  • Duplicate invoice risk
  • Taxes, totals and calculation consistency
  • Approval and cost-allocation requirements
Definition

What Is Freight Audit?

Freight audit is the process of checking carrier invoices against shipment records, agreed rates, services and supporting evidence before payment or posting.

Mimasa AI combines document extraction, business rules, AI analysis and controlled review in one freight audit workflow. It applies the rules your finance team defines rather than assuming a universal set of carrier terms.

Seven Steps

How Mimasa Freight Audit Software Works

Capture invoice, extract charges, match evidence, validate rules, review exceptions, approve and hand off, then analyse spend.

  1. 01

    Capture freight invoices

    Receive invoices through approved email, shared storage, file upload, API or connected enterprise systems.

    Each document keeps its source and processing status.

  2. 02

    Extract invoice and charge data

    Read invoice numbers, shipment references, dates, carriers, routes, quantities, weights, charge lines, taxes and totals.

    Uncertain or incomplete fields go for verification.

  3. 03

    Match operational evidence

    Connect the invoice with available bookings, shipment records, rate cards, contracts, purchase orders and PODs.

    Every match keeps a link to the record behind it.

  4. 04

    Validate charges and rules

    Apply configured tolerances and business rules to each charge line.

    Duplicates, missing references, rate differences and calculation errors become defined exceptions.

  5. 05

    Review exceptions

    Show the reviewer the invoice, matched evidence, discrepancy reason and recommended next step.

    A person stays in control of material financial decisions.

  6. 06

    Approve and hand off

    Prepare an approved payable record, request a correction, create a task or update a connected ERP or AP workflow.

    Only where the integration and authorization exist.

  7. 07

    Analyse audit and spend patterns

    Track discrepancies, recoveries, carrier trends, processing time and freight spend.

    Reporting uses governed, reconciled data.

Processing

Freight Invoice Processing Without Repetitive Data Entry

Mimasa automates the repetitive parts of freight invoice processing while preserving review for uncertain or consequential cases.

  • Classify incoming freight invoices
  • Extract header and line-item fields
  • Validate mandatory information
  • Associate an invoice with the correct shipment
  • Compare totals and charge components
  • Identify low-confidence fields
  • Route exceptions by carrier, entity, amount or reason
  • Prepare approved data for a connected finance system
  • Preserve the source document and action history

This supports logistics invoice processing and transportation invoice processing across the formats and sources included in the implementation.

Verification

Freight Invoice Verification With Supporting Evidence

Freight invoice verification is stronger when each conclusion can be traced to the evidence behind it. Mimasa can compare invoice data with customer-authorized records such as:

  • Shipment or consignment records
  • Contracted rate cards
  • Carrier quotations
  • Purchase orders
  • Proof-of-delivery records
  • Weight and dimension data
  • Route and service information
  • Approved surcharge rules
  • Prior invoice and payment records

The platform does not assume that every source is complete or correct. It can surface conflicting records and request human review instead of silently selecting one value.

Exceptions

Detect Freight Billing Exceptions Earlier

Configure rules and tolerances for the discrepancies that matter to the organization.

Duplicate and reference exceptions

Identify repeated invoice numbers, shipment references, charge lines or combinations defined by finance policy.

Rate and service exceptions

Compare the billed charge with available contracted or approved commercial records. Flag differences beyond the configured tolerance.

Fuel and accessorial exceptions

Review fuel, detention, demurrage, handling and other defined charges against supporting conditions and evidence.

Weight and quantity exceptions

Compare billed weight, dimensional values, quantities or units with available shipment records.

Missing-document exceptions

Route an invoice for review when required shipment or proof-of-service evidence is unavailable.

Allocation and approval exceptions

Apply business-unit, customer, project, lane or cost-center rules before handing the invoice to the finance workflow.

Mimasa applies customer-defined logic. It does not independently determine every valid commercial charge.

Modes

Parcel Invoice Audit and Multimode Freight Review

Parcel invoice audit

Review high-volume parcel invoices for duplicate billing, service-level mismatches, weight differences, surcharges and other configured exceptions. Prioritize material discrepancies rather than asking teams to inspect every line manually.

Road freight

Compare invoices with trip, load, route, delivery and agreed-rate evidence available from connected systems.

Air and ocean freight

Associate invoice charges with relevant shipment references, modes, routes, documents and approved commercial terms. Route complex or incomplete cases to specialists.

Multimodal shipments

Separate charges by mode, carrier, leg or service where source records support that level of detail.

Boundary

Freight Audit and Payment With Human Control

Freight audit and payment describes the connected process from invoice verification to an approved payment workflow.

Mimasa supports the audit, exception review and authorization stages. After approval, it can prepare data or invoke a permitted action in a connected ERP, AP or payment system.

Mimasa is not a bank or payment rail. It should not release funds independently. The customer’s finance policies, approval matrix and connected systems determine what happens after the audit.

This gives teams the workflow benefits associated with freight audit and payment software while preserving financial control.

Agents

AI Agents for Freight Invoice Automation

Invoice capture agent

Classifies documents, extracts freight invoice fields and flags uncertain data.

Matching agent

Associates invoice lines with relevant shipment, rate and supporting records.

Validation agent

Applies configured audit rules and explains the evidence behind each exception.

Reconciliation agent

Supports freight invoice reconciliation and carrier invoice reconciliation across available records.

Approval agent

Prepares a review packet, routes it to the correct approver and records the decision.

Spend analysis agent

Summarizes audit patterns, carrier spend and recurring discrepancy categories.

Agents operate only within configured access, tools, confidence thresholds and approval policies.

Spend Analytics

Transportation Spend Analytics From Audit-Ready Data

Each processed invoice creates structured information that can improve financial visibility.

Transportation spend analytics and carrier spend analytics should use governed, reconciled data. For network-wide logistics performance and carrier-service analysis, see AI for logistics and transportation.

  • Spend by carrier, lane, mode, customer or business unit
  • Base freight versus surcharge composition
  • Invoice volume and processing status
  • Discrepancies by type and value
  • Repeated exceptions by carrier or route
  • Approved, disputed and corrected amounts
  • Processing and approval time
  • Accrual and invoice differences
Collaboration

Built for Finance and Logistics Collaboration

Accounts payable teams
Receive structured invoice data, clear validation results and prioritized exceptions.
Logistics finance teams
Connect freight charges with operational and commercial evidence.
Transportation and operations teams
Provide the shipment context required to resolve service and charge discrepancies.
Procurement teams
Understand recurring rate, surcharge and contract exceptions.
Controllers and finance leaders
Review audit coverage, unresolved exposure, approval controls and spend patterns.

Finance & Accounting remains the primary business-function owner of this use case. See finance and accounting automation and supply chain and inventory automation.

Integration

Works With Existing Finance and Logistics Systems

Depending on the approved implementation, Mimasa may connect with the systems and documents your teams already use.

Integration availability depends on source access, data quality and implementation scope.

See AI invoice data extraction

  • TMS, WMS and shipment-management systems
  • ERP and accounts-payable applications
  • Carrier portals and APIs
  • Databases and data warehouses
  • Email and shared storage
  • Excel, CSV and structured exports
  • Rate cards and commercial contracts
  • Freight invoices, PODs and shipment documents
Measurement

Measure Freight Audit Performance

These are measurement areas, not guaranteed savings or results. Establish an agreed baseline and target for each implementation.

  • Percentage of invoices processed
  • Straight-through versus reviewed invoices
  • Field-extraction confidence
  • Match and validation status
  • Duplicate-invoice exceptions
  • Rate and surcharge discrepancies
  • Disputed and corrected amounts
  • Exception-resolution time
  • Invoice approval cycle time
  • Spend by carrier, route or mode
Governance

Security, Governance and Deployment

Freight audit involves financial records, contracts, carrier data and payment-related decisions.

Organizations determine which agents may read, prepare, recommend or act on financial information.

Explore governed financial data.

  • Role-based access control
  • Human approval checkpoints
  • Governed data access
  • Evidence-linked decisions
  • Audit trails and execution history
  • Cloud deployment
  • Private-cloud or VPC deployment
  • On-premise deployment

Freight Audit FAQs

Common questions about freight audit software, invoice validation and approved payment handoff.

Turn Freight Invoices Into Controlled, Audit-Ready Work

Start with one carrier, invoice format or freight mode. Connect the required evidence, define the audit rules and measure how Mimasa improves processing visibility and exception handling.