Create models in seconds
Upload a consignment note and watch as Affinda instantly predicts the data fields you want to extract, helping you automate consignment note processing in just a few clicks.
How to automate consignment note processing with Affinda's AI
- 1
Upload your consignment notes, your way
Email, drag and drop or connect via API.
- 2
Watch as it extracts your consignment note data
Affinda's AI reads your consignment notes with impressive contextual understanding. It splits and classifies documents, extracts and validates data, then transforms the output to match your business needs.
- 3
Automatically route the data to your systems
No manual data entry required. Affinda integrates seamlessly into your existing tech stack.
Extract any information from any document, fast
Affinda's AI reads, understands and extracts data from any consignment note or document 
Cleanse and transform data
Affinda automatically formats extracted consignment note data to match your TMS, ERP or logistics system requirements, ensuring it's ready to use immediately. Need custom output? Just describe what you want in plain language.
Apply business logic
Use natural language to write validation rules and apply your business logic to the data. This ensures the output meets your compliance requirements and enables straight-through consignment note processing.
Combine the best of artificial and human intelligence
1B+ documents processed
10+ years of IP combined with the latest AI innovations
800+ customers
95% reduction in manual processing achieved
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Drag and drop, email or upload via API. Affinda can handle any document, any file type and any layout with ease.See the magic
Watch as the platform predicts the information you want to extract, letting you build models in minutes, not months.Automating their document processes with AI
Frequently asked questions
What is consignment note processing?
Consignment note processing is the workflow logistics and freight businesses use to capture, extract and validate shipment data from consignment notes. Our AI consignment note data extraction software automates this process to reduce manual effort, speed up consignment tracking and billing, and minimize errors. It ensures that shipment details, delivery information and reference numbers are accurately captured and recorded in your TMS, ERP and supply chain systems.
What is consignment note data extraction?
Consignment note data extraction is the process of reading a consignment note and extracting key shipment data such as consignment numbers, sender and recipient details, items, weights, delivery information and reference numbers. Our AI platform automates consignment note data extraction, converting both digital and paper documents into structured data ready for your TMS, ERP and logistics systems.
What is consignment note extraction?
Consignment note extraction is the automatic capture of shipment data from consignment notes using AI. Our consignment note extraction software combines reading order models, OCR, LLMs, RAG and more to convert this information with high accuracy and faster processing times.
What is a consignment note parser?
A consignment note parser is a software tool that automatically reads and extracts shipment data from consignment notes. It converts documents into structured, machine-readable formats ready for your systems. Our AI consignment note parser adapts with every interaction, handling variations in layout, language and format with ease while transforming the output into exactly what your TMS, ERP and logistics systems need.
What is consignment note line extraction?
Consignment note line extraction captures the shipment details within tables on your consignment notes – items, weights, quantities, dimensions – and converts them into structured data while preserving the relationships between each line. Our platform handles everything from simple item lists to complex nested tables with grouped items, interpreting the data with contextual understanding and accuracy.
What data fields can Affinda's AI consignment note processing software extract?
Affinda's AI consignment note processing platform can capture data from any field on a consignment note. Standard data fields include:
Shipment & Consignment Details
- Consignment Number / Docket Number: Unique identifier for the shipment or consignment.
- Shipment Date / Collection Date: Date the goods were collected or dispatched.
- Carrier / Haulier Name: Name of the transport company or carrier handling the shipment.
- Vehicle Registration / Trailer Number: Details of the vehicle or trailer used for transport.
- Service Type / Mode: Type of service such as express, standard, or freight mode.
Sender & Recipient Information
- Sender Name / Consignor: Name of the party dispatching the goods.
- Sender Address: Full pickup or dispatch address including postcode.
- Recipient Name / Consignee: Name of the party receiving the goods.
- Recipient Address / Delivery Address: Full destination address including postcode.
- Contact Details: Phone numbers, email addresses or contact names for sender and recipient.
Item & Cargo Details
- Item Description / Goods Description: Text description of the items being shipped.
- Quantity / Number of Packages: Total number of items, pallets or packages.
- Weight / Gross Weight: Individual or total weight of the shipment.
- Dimensions: Length, width and height measurements when provided.
- Volume / Cubic Meters: Volumetric measurement of the cargo.
Delivery & Reference Information
- Delivery Date / Required Date: Expected or actual delivery date.
- Delivery Instructions / Special Instructions: Specific handling or delivery requirements.
- Reference Numbers: Customer references, order numbers, or PO numbers.
- Tracking Number: Unique tracking identifier for shipment visibility.
Other Fields
- Freight Charges / Costs: Transport costs, surcharges or additional fees.
- Signatures / Proof of Delivery: Captured signatures or delivery confirmation.
- Notes / Remarks: Additional comments or special notes.
- Document Date / Page Number: Issue date and document pagination.
Need custom fields or specific freight terminology? Simply define them in the UI or describe them in natural language and Affinda will extract and structure them automatically.
What file types does Affinda's AI consignment note processing solution support?
Our AI agents can process any file type. Supported file types include PDF, JPG/JPEG, PNG, TIFF, DOC/DOCX (Word), XLSX (Excel), HTML and TXT/CSV.
How does Affinda process consignment notes and extract consignment note data?
Affinda's AI agents read, extract and validate consignment note data. Our platform is intuitive to set up and easily integrates into your systems. Simply:
- Upload your consignment notes via drag-and-drop, email or API.
- Configure business logic to match your organization's rules and workflows.
- Let Affinda check and validate extracted data against your business logic and TMS, ERP, logistics, and supply chain systems to ensure accuracy.
- Access structured consignment note data directly within your systems.
The result? Faster, more accurate consignment note processing with minimal manual input.
Can Affinda extract data from scanned or image-based consignment notes?
Yes. Our AI consignment note processing platform combines OCR with retrieval augmented generation (RAG), LLMs, agentic workflows, proprietary reading order algorithms and more, to automatically detect and process data from scanned or photographed invoices (PDF, JPG, PNG). Even low-quality images are automatically enhanced for reliable data capture and processing.
What language does Affinda's AI consignment note automation platform support?
Our AI consignment note processing platform can automatically detect and process consignment notes in 50+ languages, including multilingual consignment notes containing more than one language. Supported languages include: Afrikaans, Albanian, Amharic, Arabic (Standard, Egyptian, Sudanese, Algerian, Moroccan, Levantine), Bahasa Indonesian, Bengali, Bhojpuri, Bulgarian, Burmese, Chinese (Mandarin [PRC/Taiwan], Cantonese, Wu, Min Nan, Jinyu, Xiang, Hakka), Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Greek, Gujarati, Hebrew, Hindi, Hungarian, Italian, Japanese, Javanese, Kannada, Korean, Latvian, Lingala, Lithuanian, Macedonian, Malayalam, Marathi, Nepali, Norwegian, Odia, Persian (Farsi), Polish, Portuguese, Punjabi (Western and Eastern), Romanian, Russian, Slovak, Slovenian, Somali, Spanish, Swahili, Tagalog, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Vietnamese, Yoruba.
Does Affinda integrate with TMS, ERP, and logistics systems?
Yes. Our AI consignment note processing platform integrates with 400+ downstream systems, including major TMS, ERP, logistics, and supply chain platforms. You can create no-code integrations using our AI integrations agent, or build your own using our APIs – whatever fits your consignment note data extraction workflow best.
What are some examples of AI consignment note workflow automations?
AI consignment note processing helps automate and optimize logistics workflows across operations teams such as:
- Logistics Operations: Speed up consignment tracking and improve shipment visibility by extracting sender, recipient, delivery details and reference numbers from any consignment note format. Business-rule validation flags discrepancies like missing delivery dates, incorrect weights or duplicate consignment numbers.
- Freight and Billing Teams: Accelerate billing cycles and reduce errors by automatically capturing freight charges, item details and weights – even from complex multi-page notes with grouped cargo tables.
- Supply Chain and Compliance: Use self-learning AI that adapts to new consignment note layouts, ensuring accurate delivery instructions, special handling requirements and regulatory data are captured every time.
- TMS and ERP Teams: Feed structured consignment note data directly into your transport management and enterprise systems to enhance operational control, compliance reporting and scalability.
What is a consignment note OCR data extractor?
A consignment note optical character recognition (OCR) data extractor scans and accurately captures shipment information from consignment notes, regardless of format or language. Upload consignment note documents in PDF, JPG or PNG formats. The OCR technology first converts the documents into a text layer, ensuring all text (even from scans, photos or handwriting) is captured. Affinda's AI models then identify and extract key fields such as consignment numbers, sender and recipient details, items, weights, delivery information and reference numbers, transforming them into structured, usable data.
This automation eliminates manual data entry, reduces errors and saves time. Once the consignment note data is captured and structured, our AI consignment note processing pipeline can apply machine validation and post-processing to enable seamless integration with TMS, ERP, logistics and supply chain systems.
Businesses in logistics, shipping and freight rely on Affinda's AI for their consignment tracking, billing and supply chain processes, streamlining workflows and improving overall efficiency.