Dijit.app

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.

Save 98% of time
99.99% accuracy
Guaranteed security

Manual delivery note processing 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 work hours and generating costly errors that directly affect accounting and inventory management.

With AI and OCR for delivery notes technology from Dijit.app, we completely transform this process. Our system combines state-of-the-art Optical Character Recognition (OCR) with advanced Artificial Intelligence algorithms to automatically digitize, interpret, and classify all the information contained in your delivery notes: products, quantities, prices, dates, suppliers, and tax information. The system learns and improves continuously, adapting to your suppliers’ specific formats and extracting data with unprecedented accuracy.

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DELIVERY NOTE
EXTRACTED DATA

Revolutionize your document management
with AI and OCR for delivery notes

Optical Character Recognition (OCR) is the foundational technology that makes it possible to convert physical documents into actionable digital information. This technology identifies letters, numbers, and symbols in scanned delivery notes, enabling their transformation 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 makes it possible to understand context, interpret the structure of delivery notes, and extract relevant information with unprecedented accuracy, even in complex documents or those with variable formats.

OCR: The first step toward document automation

Our advanced OCR technology provides essential capabilities for the efficient digitization of delivery notes:

  • Accurate text recognition in delivery notes with success rates above 99%, even in low-print-quality documents
  • Processing of 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
  • Fast conversion of physical delivery notes into digital formats ready to integrate with ERPs or management systems

These capabilities make it possible to 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: 15/04/2025

Supplier: Industrial Supplies XYZ

Order reference: PO-2025-0438

Item code: MAT-3872

Description: Metal components Series B

Quantity: 250 units

Price: 3.45 €/u

Total: €862.50

Artificial Intelligence: Powering delivery note processing

Our AI and OCR for delivery notes solution 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 against associated orders and detecting discrepancies
  • Contextual recognition of sector-specific information and adaptation to each company’s terminology
  • Continuous learning that progressively improves accuracy when processing new delivery notes from the same suppliers

With Dijit.app’s AI and OCR for delivery notes technology, your company fully digitizes the 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%, allowing your team to focus on higher-value tasks.

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

Why implement AI and OCR for delivery notes?

Benefits of using Dijit.app

Time and cost savings

The AI and OCR for delivery notes technology 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 carries a high risk of errors. With Dijit.app, delivery notes are processed automatically, extracting all relevant data accurately and organizing it in a structured way according to criteria such as supplier, date, department, or product category.

The real differentiating value lies in intelligent workflow automation. Through AI and OCR for delivery notes technology, the system not only captures data, but processes it contextually: it automatically identifies products and suppliers, classifies them according to predefined categories, matches delivery notes with previous purchase orders, and detects discrepancies in prices or quantities. 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 higher-value strategic tasks.

Example: A distribution company that processed more than 2,000 delivery notes per month managed to reduce the time dedicated to the administrative management of these deliveries from 120 hours per month to just 10 hours after implementing the AI and OCR for delivery notes system. This represented 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 per year.

Digital transformation without barriers

Implementing AI and OCR for delivery notes removes the complex technical barriers that have traditionally hindered the digital transformation of document processes. Dijit.app is specifically trained to recognize the particular structure of delivery notes from any industry, even when they use non-standard formats, contain elements such as stamps, handwritten notes, complex tables, or even when document quality is poor due to stains, wrinkles, or damage.

Our AI and OCR for delivery notes solution makes digitization extraordinarily accessible and effective: staff simply need to digitize delivery notes using a scanner, a mobile app, or upload the PDF files received by email directly. The system automatically processes the documents using deep learning algorithms that progressively improve their accuracy with each new document processed. The intuitive interface ensures rapid adoption by users, without the need for specialized technical knowledge or long training periods.

Example: An industrial manufacturing company that received delivery notes from more than 50 different suppliers, each with its own format and naming convention, managed to fully digitize its process in less than a month. The system learned to recognize each supplier’s particularities, including their specific product codes, reaching an automatic recognition rate above 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 AI and OCR for delivery notes technology is its ability to integrate seamlessly with the leading enterprise resource planning (ERP) systems on the market, such as SAP, Microsoft Dynamics, Oracle NetSuite, Sage, or industry-specific software. This two-way integration allows captured delivery note data to flow automatically into the corresponding modules of the system, completely eliminating information silos and ensuring data consistency across the organization.

The system can automate critical end-to-end processes thanks to AI and OCR for delivery notes technology. Upon receiving a delivery note, the system digitizes it, extracts its data, validates it against the associated purchase order, automatically updates inventory, records the entry in the accounting system, and generates the corresponding budget allocations. This automated flow 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 in administrative costs

Advanced security and global accessibility

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

With AI and OCR for delivery notes technology, global accessibility and granular permission control represent a significant competitive advantage for companies with multiple locations or distributed teams. The system allows you to define specific roles with different access levels: procurement managers can verify deliveries, the finance department can access the data for invoice reconciliation, and management can obtain dashboards and consolidated purchasing 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 meet audit requirements. After implementing the AI and OCR for delivery notes solution, they managed to digitize more than 200,000 historical documents and establish an automated workflow for new delivery notes received across all their offices. This made it possible to reduce the monthly accounting close from 15 to 3 days, facilitate remote audits without the need for physical travel, and significantly improve 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 industry.

1

Digitization of delivery notes

The first step in implementing an AI and OCR for delivery notes system is to capture these documents efficiently. Dijit.app offers multiple options tailored to business realities: capture via mobile app to digitize delivery notes at the moment of receipt, integration with existing scanners and multifunction devices in the company, or direct import of PDF documents received by email or downloaded from supplier portals.

AI and OCR for delivery notes technology is specifically designed to work even with documents in less-than-ideal conditions, a common reality in many companies. Dijit.app efficiently processes delivery notes with stamps, handwritten annotations, signatures, and multiple table formats, maintaining high levels of accuracy even when documents are folded, partially damaged, or printed in low quality, situations that are common in business environments.

Implementation tip
To optimize the process, establish a clear digitization protocol: set up a centralized receiving point for goods equipped with an appropriate device (tablet, smartphone with stand, or scanner). Assign specific responsible staff and establish a daily digitization routine to ensure that no delivery note goes unprocessed, thus avoiding information loss and facilitating reconciliation with later invoices.
Digitization point DELIVERY NOTE Dijit.app AI + OCR
2

Intelligent processing

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

The specialized AI engine accurately extracts all critical data from the delivery note: issue date, document number, associated purchase order number, reference codes, product or service descriptions, units, formats, unit prices, discounts, applicable taxes, subtotals, and total amount. The AI and OCR for delivery notes technology 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 through machine learning techniques that adapt to your regular suppliers. During the first weeks of use, it is advisable to verify the extracted data to confirm its accuracy. With each correction, the system learns and optimizes its algorithms, quickly reaching automatic recognition rates above 99% for your most frequent delivery note formats.
DELIVERY NOTE REFERENCE QTY. PRICE TOTAL MAT-25631 10 pcs 14,75€ 147,50€ MAT-46872 25 pcs 5,20€ 130,00€ MAT-34519 5 pcs 45,50€ 227,50€ MAT-12785 3 pcs 95,00€ 285,00€ TOTAL: 790,00€ Order Ref.: PO-2025-1234 AI CORE STRUCTURED DATA Supplier: Suministros XYZ Delivery note no.: A-7842 Date: 15/04/2025 Reference: PO-2025-1234 Total: 790,00€ Lines: 4 products
3

Automatic validation and classification

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

The true power of AI and OCR for delivery notes is reflected in the automatic document classification according to multiple customizable criteria: supplier, receiving department, product category, project, or associated cost center. This intelligent categorization greatly facilitates subsequent approval, accounting, and expense allocation processes, enabling the automation of complete workflows and reducing manual intervention to the bare 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 operation, it is advisable to configure approval workflows suited 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 Sum verification ✓ Order matching ! Tax validation ✓ AUTOMATIC CATEGORIZATION APPROVAL WORKFLOW
4

Integration with management systems

The final step, and probably the most transformative for your company’s day-to-day operations, is integrating the AI and OCR for delivery notes solution with your existing management systems. Dijit.app 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 sector-specific system.

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

Maximize return on investment
To get the maximum benefit, develop a phased implementation plan, starting with the most critical processes or those with the highest document volume. Define clear success metrics (time saved, error reduction, cycle acceleration) and regularly monitor these indicators. Most of our clients achieve a return on investment in less than 6 months thanks to the drastic reduction in administrative costs and improved information accuracy.
Dijit.app AI + OCR ERP Business management WMS Warehouse management ACCOUNTING Financial system BI Business Intelligence Total automation Real-time data 99% error reduction

Practical AI and OCR use cases 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 over their processes.

Supermarkets using AI and OCR for delivery notes
Supermarkets

Management of multiple suppliers

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

92%
less time
4.2%
inventory improvement
30d
ROI
Construction company using AI and OCR for delivery notes
Construction

Project allocation

The construction company Edificaciones Modernas, with 12 simultaneous projects in different locations, implemented AI and OCR for delivery notes technology to optimize its budget control. Each project receives materials with its own delivery notes, which are now processed automatically with Dijit.app, making it possible to assign each material to the corresponding project and cost item. This has made it possible to know in real time the cost evolution of each project, identify budget deviations, and manage certifications with total accuracy.

78%
error reduction
18h
weekly savings
8.3%
cost savings
Tourism company using AI and OCR for delivery notes
Tourism

Multi-location management

Mediterranean Tourism Group, with 15 establishments including hotels and restaurants in different coastal areas, uses AI and OCR for delivery notes to centralize its financial and procurement management. By automatically digitizing all delivery notes with Dijit.app, they have managed to unify processes, standardize suppliers, and negotiate better terms by having full visibility into purchasing volume. The solution also makes it possible to compare consumption across 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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