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AI and OCR for delivery notes: Intelligent automation for businesses

Discover how the combination of Artificial Intelligence and Optical Character Recognition revolutionizes delivery note processing, eliminating manual data entry and optimizing document management in your company.

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Manual processing of delivery notes represents one of the biggest bottlenecks in business document management. Every day, companies across all sectors receive dozens or even hundreds of delivery notes that must be processed, verified, and recorded in management systems, consuming countless hours of work and generating costly errors that directly affect accounting and inventory management.

Powered by AI and OCR for delivery notes of dijit.app, we completely transformed this process. Our system combines the Optical Character Recognition (OCR) latest generation with advanced algorithms Artificial intelligence to automatically digitize, interpret, and classify all the information contained in your delivery notes: products, quantities, prices, dates, suppliers, and tax information. The system continuously learns and improves, adapting to your suppliers' specific formats and extracting data with unprecedented accuracy.

See rates
DELIVERY NOTE
EXTRACTED DATA

Revolutionize your document management
with AI and OCR for delivery notes

He Optical Character Recognition (OCR) It is the fundamental technology that allows physical documents to be converted into processable digital information. This technology identifies letters, numbers, and symbols on scanned delivery notes, allowing them to be transformed into structured data that can be managed by computer systems.

The combination of AI and OCR for delivery notes represents a significant advance over traditional systems. While conventional OCR simply digitizes text, the integration of Artificial intelligence It allows you to understand the context, interpret the structure of delivery notes, and extract relevant information with unprecedented precision, even in complex documents or with variable formats.

OCR: The first step towards document automation

Our advanced OCR technology provides essential capabilities for efficient delivery note scanning:

  • Accurate text recognition on delivery notes with hit rates higher than the 99%, even on documents with poor print quality.
  • Processing multiple delivery note formats (digital, printed, handwritten, or partially damaged)
  • Detection and preservation of the specific structure of delivery notes (header, detail lines, totals, etc.)
  • Compatibility with delivery notes from different suppliers and various business sectors
  • Rapid conversion of physical delivery notes to digital formats ready for integration with ERPs or management systems

These capabilities automate the critical first phase of the delivery note digitization process, eliminating the need for manual data entry and drastically reducing the time spent on repetitive administrative tasks.

ORIGINAL DELIVERY NOTE
EXTRACTED TEXT
Delivery note: A-7632

Date: 04/15/2025

Supplier: XYZ Industrial Supplies

Order reference: PO-2025-0438

Article code: MAT-3872

Description: Metal components Series B

Amount: 250 units

Price: €3.45/unit

Total: €862.50

Artificial Intelligence: Boosting delivery note processing

Our solution AI and OCR for delivery notes offers exclusive advantages that completely transform document management:

  • Automatic classification of delivery notes by supplier, department or product type without manual intervention
  • Accurate extraction of key information such as reference numbers, product codes and payment terms
  • Automatic data verification by comparing with associated orders and detecting discrepancies
  • Contextual recognition of sector-specific information and adaptation to each company's own terminology
  • Continuous learning that progressively improves accuracy when processing new delivery notes from the same suppliers

Powered by AI and OCR for delivery notes With Dijit.app, your company completely digitizes its document management cycle. The extracted data is automatically integrated with your business systems, eliminating transcription errors and reducing the time spent processing delivery notes by up to 90%. This allows your team to focus on higher-value tasks.

TYPES OF DELIVERY NOTES
Digital Delivery Notes
Scanned Delivery Notes
Handwritten Delivery Notes
Multiple Formats
EXTRACTED DATA
Delivery Note No.
A-7632
Supplier
Supplies X
Date
04/15/2025
Order Reference
PO-2025-043
Article Code
MAT-3872
Amount
250 units
Total Amount
€862.50

Why implement AI and OCR for delivery notes?

Advantages of using Dijit.app

Saving time and costs

The technology of AI and OCR for delivery notes It completely transforms document management in companies. The traditional process of manually entering data from physical delivery notes into management systems is a task that consumes enormous resources and presents a high risk of errors. With Dijit.app, delivery notes are automatically processed, accurately extracting all relevant data and organizing it in a structured manner according to criteria such as supplier, date, department, or product category.

The real differential value is in the intelligent workflow automation. Through the technology of AI and OCR for delivery notesThe system not only captures data, but also processes it contextually: it automatically identifies products and suppliers, classifies them according to predefined categories, compares delivery notes with previous purchase orders, and detects discrepancies in price or quantity. Companies that receive dozens or hundreds of delivery notes monthly can reduce the time spent processing them by more than 90%, freeing up resources for tasks of greater strategic value.

Example: A distribution company that processed more than 2,000 delivery notes per month has managed to reduce the time spent on administrative management of these deliveries from 120 hours per month to just 10 hours after implementing an AI and OCR system for delivery notes. This has resulted in an estimated annual saving of €42,000 in administrative staff costs, in addition to completely eliminating transcription errors that previously generated discrepancies valued at more than €15,000 annually.

Digital transformation without barriers

The implementation of AI and OCR for delivery notes It eliminates the complex technical barriers that have traditionally hindered the digital transformation of document processes. The Dijit.app system is specifically trained to recognize the unique structure of delivery notes from any sector, even when they have non-standardized formats, contain elements such as stamps, handwritten notes, complex tables, or even when the document's quality is poor due to stains, wrinkles, or damage.

Our solution AI and OCR for delivery notes makes the digitalization is extraordinarily accessible and effective: Staff simply scan delivery notes using a scanner, a mobile app, or directly upload PDFs received via email. The system automatically processes documents using deep learning algorithms that progressively improve their accuracy with each new document processed. The intuitive interface ensures rapid user adoption, without the need for specialized technical knowledge or lengthy training periods.

Example: An industrial manufacturing company that received delivery notes from more than 50 different suppliers, each with its own format and nomenclature, was able to completely digitize its process in less than a month. The system learned to recognize each supplier's specific characteristics, including their specific product codes, achieving an automatic recognition rate of over 99% after the initial adaptation period. As a result, they completely eliminated the need to archive physical delivery notes and reduced the time spent on manual verification by 85%.

Integration with business management systems

One of the main advantages of technology AI and OCR for delivery notes Its ability to seamlessly integrate with the market's leading enterprise resource planning (ERP) systems, such as SAP, Microsoft Dynamics, Oracle NetSuite, Sage, and industry-specific software, is key. This bi-directional integration allows data captured from delivery notes to automatically flow into the appropriate system modules, completely eliminating information islands and ensuring data consistency across the organization.

The system can automate critical processes from start to finish thanks to the technology of AI and OCR for delivery notesUpon receiving a delivery note, the system digitizes it, extracts its data, validates it against the associated purchase order, automatically updates the inventory, records the entry in the accounting system, and generates the corresponding budget allocations. This automated workflow not only eliminates repetitive tasks but also provides complete traceability of the purchasing cycle, facilitating audits and significantly improving financial control.

98%
less processing time
100%
document traceability
40%
reduction of administrative costs

Advanced security and global accessibility

In today's business environment, where information is a critical asset and remote work is a permanent reality, efficient document management is a considerable challenge. Physical delivery notes can get lost, damaged, or become inaccessible when needed for queries, audits, or verifications. The solution AI and OCR for delivery notes Dijit.app ensures that all this documentation is immediately digitized and securely stored in the cloud with strict encryption protocols and regulatory compliance, including GDPR and other industry regulations.

With technology AI and OCR for delivery notes, the global accessibility and granular permission control This represents a significant competitive advantage for companies with multiple locations or distributed teams. The system allows for the definition of specific roles with different access levels: procurement managers can verify deliveries, the finance department can access data for invoice reconciliation, and management can obtain consolidated purchasing dashboards and reports for strategic decision-making. All this while maintaining a comprehensive audit trail that documents every access and modification made.

Example: A multinational company with operations in 12 countries needed to centralize its document management to improve financial control and comply with audit requirements. After implementing the AI and OCR solution for delivery notes, they were able to digitize more than 200,000 historical documents and establish an automated workflow for new delivery notes received at all their locations. This reduced monthly accounting closing time from 15 to 3 days, facilitated remote audits without the need for physical travel, and significantly improved transparency in their purchasing processes, identifying savings opportunities estimated at more than €1.2 million annually.

Steps to easily implement AI and OCR for delivery notes with Dijit.app

Follow this step-by-step guide to digitize and automatically process your suppliers' delivery notes, optimizing document management and drastically reducing the time spent on administrative tasks in your company, regardless of your sector.

1

Digitization of delivery notes

The first step to implementing a system of AI and OCR for delivery notes It consists of capturing these documents efficiently. dijit.app It offers multiple options tailored to business needs: capture via a mobile app to digitize delivery notes upon receipt, integration with existing scanners and multifunction devices in the company, or direct import of PDF documents received via email or downloaded from supplier portals.

The technology of AI and OCR for delivery notes It is specifically designed to work even with documents in less than ideal conditions, a common reality in many companies. dijit.app Efficiently processes packing slips with stamps, handwritten notes, signatures, and multiple table formats, maintaining high levels of accuracy even when documents are folded, partially damaged, or have poor print quality—all common situations in business environments.

Implementation advice
To optimize the process, establish a clear scanning protocol: set up a centralized goods receiving point equipped with a suitable device (tablet, smartphone with a stand, or scanner). Assign specific managers and establish a daily scanning routine to ensure no delivery note goes unprocessed, thus avoiding data loss and facilitating reconciliation with subsequent invoices.
Scanning point DELIVERY NOTE dijit.app AI + OCR
2

Intelligent processing

Advanced technology of AI and OCR for delivery notes of dijit.app It has been specifically trained on thousands of documents from various sectors, allowing it to automatically recognize the formats and specific features of delivery notes used by suppliers across multiple industries. The system identifies the supplier based on the logo, header, or document structure, and adapts its extraction algorithms to optimize accuracy for that specific format.

The engine of AI Specialized technology accurately extracts all critical data from the delivery note: issue date, document number, associated order number, reference codes, product or service descriptions, units, formats, unit prices, discounts, applicable taxes, subtotals, and total amount. AI and OCR for delivery notes It also identifies additional relevant information such as payment terms, logistics information or supplier-specific codes, which are essential for complete document traceability.

Continuous improvement
The system continuously improves its accuracy using machine learning techniques that adapt to your usual suppliers. During the first few weeks of use, it's recommended to verify the extracted data to confirm its accuracy. With each correction, the system learns and optimizes its algorithms, quickly achieving automatic recognition rates above 99% for your most common delivery note formats.
DELIVERY NOTE REFERENCE QUANT. PRICE TOTAL MAT-25631 10 units 14.75€ 147.50€ MAT-46872 25 units 5.20€ 130.00€ MAT-34519 5 units 45.50€ 227.50€ MAT-12785 3 units 95.00€ 285.00€ TOTAL: 790.00€ Order Ref.: PO-2025-1234 AI CORE STRUCTURED DATA Supplier: XYZ Supplies Delivery Note No.: A-7842 Date: 04/15/2025 Reference: PO-2025-1234 Total: 790.00€ Lines: 4 products
3

Automatic validation and classification

After data extraction, the system AI and OCR for delivery notes implements advanced validation processes to ensure the integrity and accuracy of the captured information. The platform automatically checks for data consistency, such as ensuring that unit prices multiplied by quantities correspond to subtotals, or that the sum of these amounts equals the total amount. It also verifies the presence of all required fields and alerts you to potential discrepancies or anomalies.

The true power of the AI and OCR for delivery notes It manifests itself in the automatic document classification based on multiple customizable criteria: supplier, recipient department, product category, project, or associated cost center. This intelligent categorization greatly facilitates subsequent approval, accounting, and expense allocation processes, allowing for the automation of entire workflows and reducing manual intervention to a minimum.

Process optimization
Configure validation rules specific to your needs, such as spending limits by category, verification against previous orders, or checking agreed prices. For optimal performance, it's recommended to set up approval workflows tailored to your organizational structure, allowing exceptions to be handled by the appropriate managers while standard delivery notes follow a fully automated process.
AUTOMATIC VALIDATION AND CLASSIFICATION Processed Delivery Notes Delivery note A-7842 Delivery note A-7843 ! Delivery note A-7844 Automatic Rules Verification of sums Check with order ! Tax validation CATEGORIZATION AUTOMATIC FLOW OF APPROVAL
4

Integration with management systems

The last step, and probably the most transformative for the daily operations of your company, is the integration of the solution AI and OCR for delivery notes with your existing management systems. dijit.app It offers preconfigured connectors for most ERPs and business software on the market (SAP, Microsoft Dynamics, Oracle, Sage, A3ERP, Contaplus, among others), as well as robust APIs for custom integrations with any proprietary or industry-specific system.

This integration allows data extracted through AI and OCR for delivery notes Automatically flow to the corresponding modules: purchasing management, inventory control, accounting, treasury, and resource planning. Bidirectional synchronization ensures that any updates in one system are reflected in the other, maintaining data integrity and providing a unified, up-to-date view of all documentary information. Thanks to this connection, entire processes such as creating inventory entries, invoice reconciliation, or generating accounting entries are automated, drastically reducing both the time and errors associated with these processes.

Maximize your return on investment
To achieve maximum benefits, develop a phased implementation plan, starting with the most critical or document-intensive processes. Define clear success metrics (time saved, error reduction, cycle speed) and regularly monitor these indicators. Most of our clients achieve a return on their investment in less than six months thanks to the drastic reduction in administrative costs and improved information accuracy.
dijit.app AI + OCR ERP Business management SGA Warehouse management ACCOUNTING Financial system BI Business Intelligence Total automation Real-time data Error Reduction 99%

AI and OCR case studies for delivery notes

Discover how different business sectors are using Dijit.app's AI and OCR technology to digitize their delivery notes, optimize document management, and improve operational efficiency, achieving significant savings and better control of their processes.

Supermercados usando IA y OCR para albaranes
Supermarkets

Multi-vendor management

For a regional supermarket chain with 28 stores, the technology of AI and OCR for delivery notes has revolutionized its logistics management. Aurora Supermarkets receives more than 300 delivery notes from 75 different suppliers every day. With dijit.app, automatically digitize all of these documents upon receipt of goods, allowing them to verify compliance with orders in real time, detect price deviations, and immediately update their inventory without transcription errors.

92%
less time
4.2%
improve inventory
30d
ROI
Empresa de construcción usando IA y OCR para albaranes
Construction

Imputation to projects

The construction company Edificaciones Modernas, with 12 simultaneous projects in different locations, implemented the technology of AI and OCR for delivery notes to optimize your budget control. Each project receives materials with its own delivery notes, which are now automatically processed with dijit.app, allowing each material to be assigned to the corresponding project and line item. This has made it possible to monitor the cost of each project in real time, identify budget deviations, and manage certifications with complete precision.

78%
error reduction
6 p.m.
weekly savings
8.3%
cost savings
Empresa turística usando IA y OCR para albaranes
Tourism

Multi-Establishment Management

Mediterranean Tourist Group, with 15 establishments between hotels and restaurants in different coastal areas, uses the AI and OCR for delivery notes to centralize your financial and procurement management. By automatically digitizing all delivery notes with dijit.app, have managed to unify processes, standardize suppliers, and negotiate better terms by gaining complete visibility into their purchasing volume. The solution also allows for comparing consumption between similar establishments, identifying best practices and optimizing resources during peak season.

96%
data accuracy
3.8x
greater efficiency
-22%
in operating costs

Ready to transform your delivery note management?

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