Strategies, use cases and practical guides on Intelligent Document Processing (IDP): how to automate supplier invoices, delivery notes (DDT), customer orders, price lists and contracts with artificial intelligence, and how to write the extracted data straight into your ERP.
Every article here comes from real implementations with Italian SMBs in agri-food, logistics, manufacturing and distribution, plus accounting firms — companies processing anywhere from a few hundred to more than 20,000 documents a month. You will find comparisons between AI-based data extraction and traditional OCR, guides to three-way matching between invoice, purchase order and delivery note, integration notes for SAP Business One, Zucchetti, TeamSystem, Microsoft Dynamics and Oracle NetSuite, and analyses of GDPR compliance and European data sovereignty for document processing.
If you are new to the topic, start with our guide to what IDP software is, then read why LLM-based extraction outperforms OCR, and finish with the ROI calculation for document automation.
How much do you actually save by automating document data entry? Here's how to calculate document automation ROI, which costs to count, and how fast the investment pays back.
An IDP shouldn't just be convenient — it must be secure. Here's why Data Alchemy's authentication is handled by LoginMaster, a European IAM platform with cryptographic tenant isolation.
AI data extraction uses artificial intelligence to read invoices, delivery notes and orders and turn them into data ready for your ERP. Here's how it works and how it differs from traditional methods.
From single-model OCR to autonomous AI agents: how a multi-engine AI enables agentic document automation, classifying, validating and posting data with no manual work.
Intelligent Document Processing (IDP) is the AI technology that captures, extracts and validates data from business documents. Here's what it is, how it works, and how it differs from OCR.
OCR reads characters but doesn't understand the document. Here's why Data Alchemy uses LLM and AI models — not traditional OCR — to extract data accurately.
In Data Alchemy every document type has its own LLM. Today it's Claude AI, the best on documents and images — but by end of Q3 our proprietary model arrives.
Where do your documents end up when an AI processes them? Here's why a European, GDPR-compliant IDP protects your company better than a non-EU service.
Legal archiving stores documents compliantly, but doesn't 'understand' them. With Data Alchemy you can search files by content, not just by name or date.
Most companies looking for AI data entry software or invoice reconciliation software start from the same problem: an administrative team retyping supplier invoices into the ERP, a warehouse checking delivery notes by hand, a sales office copying customer orders out of PDF attachments. The articles in this blog explain how to move from that manual workflow to an automated one — choosing between OCR and AI-based extraction, deciding what to validate automatically and what to send to human review, calculating the cost per document, and integrating the output with your existing management system without replacing it.