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Upload a delivery note and watch as Affinda instantly predicts the data fields you want to extract, helping you automate delivery note data extraction in just a few clicks.
How to automate delivery note processing with Affinda's AI
- 1
Upload your delivery notes, your way
Email, drag and drop or connect via API.
- 2
Watch as it extracts your delivery note data
Affinda's AI reads your delivery 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 delivery note or document 
Cleanse and transform data
Affinda automatically converts extracted delivery note data into the format your ERP, WMS or inventory system expects, making it ready for immediate use. Need something specific? Describe your preferred output structure in plain language and we'll handle the rest.
Apply business logic
Use natural language to write validation rules and apply your business logic to the data. This ensures the output meets your organization's requirements and enables straight-through delivery 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 delivery note processing?
Delivery note processing is the workflow businesses use to capture, validate and record shipment details from delivery notes. Our AI delivery note data extraction software automates this entire process – extracting data like sender, recipient, items and quantities to reduce manual effort and errors. It ensures deliveries are confirmed accurately and inventory systems are updated in real time.
What is delivery note data extraction?
Delivery note data extraction is the process of reading a delivery note and capturing key details like delivery note numbers, dates, sender and recipient information, items, quantities and reference numbers. Our AI automates this extraction, transforming unstructured documents – whether digital or paper – into structured data that flows directly into your ERP, WMS, logistics and inventory systems.
What is delivery note extraction?
Delivery note extraction is the automatic capture of key data from delivery notes using AI. Our delivery note parser combines reading order models, OCR, LLMs, RAG and more to convert this information with high accuracy and faster processing times.
What is a delivery note parser?
A delivery note parser is a software tool that automatically reads and extracts data from delivery notes. It converts both digital and paper delivery notes into structured, machine-readable formats. Our AI delivery note parser learns from every document it processes, adapting to variations in layout, language and format with ease before transforming the output into exactly the format your downstream systems need.
What is delivery note line extraction?
Delivery note line extraction captures the item-level data within your delivery note tables – turning product names, quantities, descriptions and reference numbers into structured, actionable data while preserving the relationships between each line item. Our complex tables capability handles everything from simple item lists to multi-page notes with grouped items and nested structures.
What data fields can Affinda's AI delivery note processing software extract?
Affinda's AI delivery note processing platform can capture data from any field on a delivery note. Standard data fields include:
Delivery Note Details
- Delivery Note Number / Despatch Note Number: Unique identifier for the delivery or despatch document.
- Delivery Date / Despatch Date: Date the goods were shipped or delivered.
- Order Reference / Purchase Order Number: Reference linking the delivery to the original order.
- Sender Name / Supplier Name: Name of the company or warehouse dispatching the goods.
- Sender Address / Warehouse Location: Physical address or facility where goods originated.
- Recipient Name / Consignee: Name of the customer or business receiving the delivery.
- Delivery Address / Shipping Address: Destination where goods are being delivered.
- Carrier / Logistics Provider: Name of the shipping company or courier handling transport.
- Tracking Number / Waybill Number: Shipment tracking identifier for logistics monitoring.
Item Details
- Item Name / Product Description: Text description of each product or SKU being delivered.
- Item Code / SKU / Product Number: Unique product identifier for inventory management.
- Quantity Ordered / Quantity Delivered: Number of units requested and actually shipped.
- Unit of Measure: Unit type such as pieces, boxes, pallets or kilograms.
- Batch Number / Lot Number / Serial Number: Traceability identifiers for quality control and compliance.
- Weight / Dimensions: Physical measurements of items or packages when provided.
- Line Notes / Special Instructions: Additional item-specific information or handling requirements.
Other Fields
- Page Number / Total Pages: Document pagination for multi-page delivery notes.
- Contact Details: Phone numbers, email addresses or contact names for sender or recipient.
- Signature / Received By: Proof of delivery capture including recipient name or signature.
- Delivery Instructions / Special Notes: Additional free-text notes about handling, timing or access.
Need custom fields or a specific template? 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 delivery 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 delivery notes and extract delivery note data?
Affinda's AI agents read, extract and validate delivery note data. Our platform is intuitive to set up and easily integrates into your systems. Simply:
- Upload your delivery 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 ERP, WMS, logistics and inventory systems to ensure accuracy.
- Access structured delivery note data directly within your systems.
The result? Faster, more accurate delivery note processing with minimal manual input.
Can Affinda extract data from scanned or image-based delivery notes?
Yes. Our AI delivery 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 delivery note automation platform support?
Our AI delivery note processing platform can automatically detect and process delivery notes in 50+ languages, including multilingual delivery 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 ERP, WMS, logistics and inventory systems?
Yes. Our platform integrates with 400+ downstream systems, including major ERP, WMS, logistics and inventory platforms. You can create no-code integrations using our AI integrations agent, or build custom connections using our APIs – whatever works best for your delivery note processing workflow.
What are some examples of AI delivery note workflow automations?
AI delivery note processing helps automate and streamline logistics workflows across business units such as:
- Logistics and Supply Chain: Confirm deliveries automatically and update shipment status in real time. Extract tracking numbers, carrier details and delivery times to improve visibility and reduce exceptions.
- Warehouse Operations: Sync goods receipt data instantly with your inventory systems. Validate delivered quantities against orders, flag discrepancies and eliminate manual data entry for faster putaway and stock accuracy.
- Customer Service: Reduce disputes by providing instant proof of delivery and item-level visibility. Self-learning AI adapts to supplier format changes, giving your team accurate data to resolve queries faster.
- Procurement Teams: Monitor supplier performance and delivery accuracy across multiple vendors. Feed structured delivery data into your ERP and WMS to improve forecasting, compliance and operational control.
What is a delivery note OCR data extractor?
A delivery note optical character recognition (OCR) data extractor scans and accurately captures information from delivery notes, regardless of format or language. Upload delivery 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 delivery note numbers, dates, sender and recipient information, items, quantities and reference numbers, transforming them into structured, usable data.
This automation eliminates manual data entry, reduces errors and saves time. Once the delivery note data is captured and structured, our AI delivery note processing pipeline can apply machine validation and post-processing to enable seamless integration with ERP, WMS, logistics and inventory systems.
Businesses in logistics, warehousing, retail and manufacturing rely on Affinda's AI for their delivery confirmation, inventory management and dispute resolution processes, streamlining workflows and improving overall efficiency.