support for your Freight Audit & Payment process

100% on time - 100% quality - on-demand

ScaleHub blends AI with human-in-the-loop to reach enterprise grade data quality.

Intelligent Document Processing for Freight Audit & Logistics Workflows

ScaleHub supports transport & logistics organizations wherever documents drive critical processes—especially when volumes fluctuate and SLAs are short. Our AI-based Intelligent Document Processing (AI-IDP) combined with a managed service ingests, separates, classifies and validates logistics documents, extracts key fields, and returns clean, actionable data to your systems. We specialize in freight audit & payment, supporting both specialist service providers and enterprise departments with audit-ready accuracy and scalable capacity to absorb peaks and complex, multi-bill or international scenarios.

Transportation Logistics One Pager

See how you can transform freight invoices into reliable, actionable data—without slowing down your operations. Learn how ScaleHub combines AI and human validation to guarantee accuracy, speed, and control.

Control logistics spend without adding headcount

Freight invoices are complex: varying formats, tariffs, surcharges, currencies, and service levels. ScaleHub ingests, normalizes, audits, and routes exceptions so your team focuses on decisions, not data wrangling.

• 50-80% faster processing*
• Turnaround time and data quality guarantees
• Full audit trail & full scalability

*Illustrative ranges from typical FAP programs, actual results vary.

Smart Ingestion

route freight invoices and supporting documents to ScaleHub via various methods with full audit trail and high data security

Rate & Rule Engine

ScaleHub quality center ingests new rules instantly and assures via Quality AI agents their adherence. For some of our customers, 100s of rules change each night.

Human-in-the-Loop

ScaleHub’s market-leading crowdsourcing based HITL approach assures secure access to Freight audit process specialists around the world.

Service Guarantees

Our promise: actionable, clean data. Turnaround time and data quality are guaranteed – allowing your team to focus on value added tasks.

Why ScaleHub to support your freight audit operation?

Enterprise data quality

AI + expert validation ensures accuracy for e.g. rates, surcharges, taxes, and references (PO / SO / PRO).

Carrier & mode agnostic

Parcel to ocean – support for diverse file types (EDI 210 / 214, CSV, PDF, XLSX).

Rapid time-to-value

Template libraries and proven playbooks accelerate onboarding and pilots.

Flexible deployment

Cloud EU / US, private cloud, or on-prem. Clear controls, SLAs, and costs.

Integrations

WMS: Manhattan, Blue Yonder*

TMS: Blue Yonder Oracle, SAP TM*

Parcel/CEP portals & APIs*

EDI: 210/214/990, EDIFACT, ANSI X12*

ERP: SAP, Oracle, Microsoft Dynamics*

Data lakes & BI: Snowflake, BigQuery*

Payment rails: SEPA/ACH/Wire*

Custom connectors via REST/GraphQL

Security & Compliance

• data protection by design & default
• access controls, encryption in transit/at rest
• audit logging & retention policies
• SOC 2 / ISO 27001 – model dependent*
• regional hosting & data residency options

* Confirmed per deployment/partner model.

Process Overview

• transfer invoices & supporting documents & rules (EDI, PDFs, CSV, images) to ScaleHub
• ScaleHub AI to prepare provided tasks for HITL
• ScaleHub HITL extracts & validates data against contracts & business rules
• clean, actionable data returned to your systems
• reports, audit trails and additional process information routed to your operational team

Frequently Asked Questions

What modes and file formats do you support?

Parcel, LTL / FTL, Ocean, Air, Rail. Formats include EDI (210 / 214 / 990), CSV, XLSX, PDF, and APIs.

Can you handle multi-currency and tax rules?

Yes. We normalize currencies and support VAT / sales tax rules; final configuration is client-specific.

How are disputes managed?

Exceptions are routed with context; rules auto-create disputes and track SLAs with carriers.

How long does a pilot take?

Weeks, not months, using playbooks and templates; timelines depend on carrier mix and data access.