Extraction Accuracy Across All Documents
Reduction in Processing Time
Straight-Through Automation Rate
Lower Operational Expenses
Every hour your shipments sit waiting due to freight-forwarding documentation errors or paperwork inefficiencies, you lose money.
Manual data-entry errors cause costly delays at customs. Missing information leads to customer complaints. Your logistics team eventually spends more time chasing documents than optimizing operations.
The solution isn’t expanding your staff; it’s using intelligent automation that runs around the clock, doesn’t make transcription errors like humans do, and gets smarter with every document it processes.
Readerr.io does precisely that, addressing processing bottlenecks that make your modern supply chains sluggish.
Our AI-enabled, intelligent document processing solution reads, understands, and validates shipping documents in seconds, and automatically routes verified data to your TMS, WMS, and ERP systems. In case of exceptions, the system alerts you instantly, so you no longer have to hunt through email threads or paper stacks.
International shipments often require more than 20 documents per container, each with strict regulatory requirements. Incomplete or inaccurate data can lead to shipping delays, demurrage charges, and dissatisfied customers, especially when handling high shipping volumes.
An intelligent logistics document processing solution automatically extracts and validates commercial invoices, certificates of origin, and customs declarations. It verifies HS codes against product descriptions, checks country-of-origin data against trade agreements, and validates required fields before submission to customs authorities.
You receive freight invoices from hundreds of carriers in multiple formats, each requiring rate verification, accessorial validation, and matching against shipping documents. Auditing them manually is often slow, incomplete, and prone to human errors.
A freight invoice automation workflow captures invoices from any carrier, extracts rates and surcharges, validates charges against contracted terms, and flags discrepancies automatically. You need to review only exceptions and approved invoices that flow into payment systems.
Inbound shipments often include packing lists and delivery notes that you need to match against purchase orders manually. If there are discrepancies, delays, unwanted email threads, or inventory inaccuracies, they ripple through fulfillment operations.
A digital receiving process allows warehouse teams to scan packing lists at the dock. Line items, quantities, and tracking details are extracted automatically and matched against open POs. Discrepancies are identified immediately, proof of delivery is captured digitally, and inventory systems are updated in real time.
Industries & Teams That Use This
Shipping hazardous materials is different and requires precise documentation, including Dangerous Goods Declarations, Safety Data Sheets, and emergency response information. Reviewing these arrangements manually takes more time and increases the risk of compliance failures.
An automated hazmat documentation workflow extracts UN numbers, hazard classes, packing groups, and emergency contacts. It validates all this data against regulatory and hazmat databases before shipment acceptance, ensuring compliance and safety.
Industries & Teams That Use This
STEP - 01
Your documents flow in from everywhere. Invoices arrive by email. Bills of lading come through EDI. Drivers scan delivery receipts with phones. Warehouses upload packing lists. Readerr.io automatically captures them all, regardless of source or format.
Our intelligent document capture identifies multiple file types and extracts documents from email attachments, cloud storage, API feeds, mobile apps, scanners, and web portals. Everything flows into one unified processing queue.
STEP - 02
Replace traditional OCR that just reads text with AI-powered intelligence that reads like a human expert. Our AI recognizes that “Shipper” and “Consignor” refer to the same entity and knows container numbers follow specific formats. It understands that line items in tables relate to header information.
This contextual understanding enables 99.5% accuracy even with poor-quality scans, handwritten notes, stamps, signatures, and complex multi-page documents.
STEP - 03
Spot errors before they cause disruptions. Extracted data passes through configurable validation rules to validate mathematical accuracy, verify against master data, ensure regulatory compliance, and flag anomalies. Weight calculations must match. HS codes must be valid. Delivery addresses must be complete.
When there are issues, our system provides clear explanations and recommended corrections, not cryptic error codes that you need to investigate.
STEP - 04
Ensure your verified data reaches where it should. Validated information automatically populates your TMS for shipment tracking, updates your WMS for inventory management, flows to your ERP for financial processing, and submits to customs platforms for clearance.
There’s no need for manual data entry, file transfers, or system-to-system integration headaches. Your systems stay synchronized automatically.
Our AI-powered document processing solution doesn’t stick to surface-level OCR. Readerr.io understands the structure and semantics of logistics documents to automatically identify their types, including bills of lading (BOLs), commercial invoices, packing lists, delivery receipts, and more.
No matter the carrier, format, or document quality, our platform accurately identifies and extracts data from documents. Plus, it understands logistics-specific data patterns, such as container numbers, party roles (consignee vs. notify party), and relationships between line items and totals, enabling complex document processing.
Automatically connects related logistics documents across the shipment lifecycle with our intelligent supply chain automation solution. Identify relations between Bills of Landing (BOLs), invoices, packing lists, and receipts to gather complete shipment records without requiring human intervention.
Plus, our software ensures context is maintained across documents and stages, so there’s validation and traceability at the shipment level rather than the document level.
Designed for complex supply chain environments, our document automation platform integrates seamlessly with TMS, WMS, ERP, customs platforms, and legacy systems.
Pre-built connectors and flexible APIs ensure data moves automatically across systems without duplication or manual re-entry.
Automatically route exceptions based on configurable business rules, such as issue type, shipment value, customer priority, or SLA thresholds, when your documents require human intervention.
Thus, our supply chain workflow automation solution creates workflows that support real-time operational collaboration across roles and teams.
Get a centralized, real-time view of document and shipment activity with our AI-enabled supply chain document management platform. Live dashboards provide operational data, showing processing status, exceptions, and performance metrics across teams and workflows.
Our AI-driven document processing system continuously learns from every document it processes and the corrections that humans make. It automatically adapts to new carrier formats, vendors, and document variations without manual retraining or template maintenance.
Put an end to missing or mismatched documents through automated, quick gathering of complete, validated shipment records by our supply chain document automation solution. Generate invoices faster and recognize revenue quickly.
Say NO to redundant data entry work, minimize rework caused by errors, and reduce reliance on manual document handling. Our automated supply chain solutions help you lower the operational cost of each shipment processed.
Meet service-level commitments consistently across customers, regions, and peak volumes through proactive exception handling, real-time visibility, and automated escalations powered by AI-enabled shipment document management automation.
Onboard new carriers, vendors, and customers without configuration-heavy setup. See your logistics operations scale quickly without slowing down your teams or involving IT for routine changes.
Built-in compliance checks and complete document trails ensure your transactions are defensible, traceable, and audit-ready for inspections or regulatory reviews.
Handle volume spikes and seasonal surges without compromising accuracy. Your team can now handle growth without adding staff with AI-enabled document processing automation.
Get a single source of truth for shipment documentation to enhance coordination between operations, finance, compliance, and customer service. Minimize handoff delays and internal friction.
Bills of Lading:
Sea Waybills:
Manifest Documents:
Booking Confirmations:
Master Air Waybills:
House Air Waybills:
Flight Manifests:
Dangerous Goods Declarations:
Commercial Invoices:
Proforma Invoices:
Packing Lists:
Certificates of Origin:
Import Declarations:
Export Declarations:
Customs Invoices:
Duty Calculations:
Delivery Orders:
Proof of Delivery:
Delivery Receipts:
Exception Reports:
Freight Invoices:
Detention/Demurrage Invoices:
Accessorial Charges:
Credit Notes:
Intelligent document processing (IDP) uses AI to understand context, structure, and relationships in documents, not just convert images into text like traditional OCR.
Traditional OCR extracts text but cannot interpret meaning or validate data. Intelligent document processing combines OCR with machine learning and domain intelligence to understand document structure, identify relationships between fields, and apply validation rules.
In logistics documents such as bills of lading, this means recognizing container number formats, linking line items to totals, and interpreting handwritten notes or stamps. Platforms like Readerr.io apply domain-trained models, enabling accurate extraction across poor-quality scans, mixed languages, and complex multi-page documents – without templates.
Most organizations start processing live documents within 4–6 weeks using modern document automation platforms.
Implementation typically follows three phases: discovery and planning, system configuration and integration, and testing with live documents. Because intelligent document processing platforms use pre-trained models, teams focus on workflow optimization rather than building extraction logic from scratch.
Readerr.io follows a pre-trained, cloud-based approach, enabling faster deployment than legacy OCR systems that require months of template creation.
No. AI-based document automation does not require templates for each vendor or document format.
Traditional OCR systems depend on fixed templates that must be created and maintained for every document variation. Intelligent document processing systems use adaptive learning to automatically recognize patterns.
When a new carrier or vendor document is processed, the system learns its structure and applies that knowledge to future documents. This approach, used by platforms like Readerr.io, eliminates ongoing template maintenance—especially valuable in logistics environments where formats change frequently.
Document automation platforms can process transportation, commercial, customs, delivery, financial, and specialized logistics documents.
This includes bills of lading, air waybills, freight invoices, commercial invoices, packing lists, customs declarations, proof of delivery, detention invoices, and compliance certificates. Supporting files such as emails, spreadsheets, scanned PDFs, and faxes containing shipment data can also be processed using intelligent document processing tools.
AI-driven document extraction achieves around 99.5% field-level accuracy in real production environments.
Unlike traditional OCR, intelligent document processing maintains accuracy across poor-quality scans, handwritten text, and multilingual documents. Accuracy is measured on live operational data, not controlled test samples.
When confidence is low, specific fields are flagged for review instead of passing incorrect data downstream. Readerr.io uses this confidence-based validation approach to ensure clean, reliable data enters ERP, TMS, and WMS systems.
Yes. Modern document automation platforms integrate directly with ERP, TMS, and WMS systems using APIs, connectors, or file-based methods.
Integration options typically include pre-built connectors for major enterprise systems, REST APIs for custom platforms, and secure file-based integrations for legacy environments. Data flows bidirectionally, enabling both automated data posting and intelligent validation using reference data.
Readerr.io supports all major integration methods, allowing fast deployment without heavy IT involvement.
Documents that fail confidence or validation checks are routed to human review through an exception management workflow.
Only the specific fields needing attention are highlighted, not the entire document. Reviewers can quickly correct values, and the system learns from those corrections to improve future accuracy.
Exception routing rules can be configured by document type, shipment value, priority, or SLA. Platforms like Readerr.io use this human-in-the-loop model to balance automation with control.
Document automation pricing is typically usage-based and scales with document volume.
Most platforms use a per-document pricing model that decreases as volume increases and includes access to document types, integrations, analytics, and support. This aligns costs directly with operational scale and avoids per-user licensing fees.
Yes. Enterprise document automation platforms use encryption, access controls, and compliance certifications to protect sensitive data.
Security measures typically include encryption for data at rest and in transit, role-based access control, MFA, audit logs, and continuous monitoring. Compliance standards often include SOC 2, ISO 27001, GDPR, and region-specific requirements.
Readerr.io applies bank-grade security practices, offers regional data residency options, and undergoes regular third-party audits.