GPT Invoice Reconciliation Software with LLM AI
Data Alchemy reconciles supplier invoices against purchase orders and delivery notes (DDT) using a dedicated LLM per document model — today Claude AI. The platform extracts line-level data, performs 3-way matching, validates against your ERP master data and posts the result into SAP, Zucchetti or TeamSystem — 99.8% accuracy, 3 seconds per document, no templates.
From raw invoices to reconciled ERP entries
GPT invoice reconciliation software automates the most time-consuming control in accounts payable: matching every supplier invoice with the corresponding purchase order and delivery note. Data Alchemy assigns a dedicated LLM to each document model — today Claude AI, which outperformed GPT, Gemma and DeepSeek in our tests — to read each document, extract structured line items and align them by SKU, quantity and price. The reconciled entry is validated against ERP master data and posted automatically, so your finance team stops re-keying invoices and starts reviewing only genuine exceptions. For a broader overview of the process, see our invoice reconciliation & three-way matching solution.
Everything you need from a GPT invoice reconciliation platform
LLM-powered extraction
A dedicated LLM reads every invoice, purchase order and delivery note. Data Alchemy assigns the best model per document type — today Claude AI, soon our proprietary Data Alchemy AI — reaching 99.8% accuracy with no templates.
Automatic 3-way matching
Each invoice line is aligned with the matching purchase-order line and delivery-note line by SKU, quantity, unit of measure and price. Discrepancies surface before the entry reaches accounting.
ERP master-data validation
Suppliers, items, price lists and payment terms are checked against SAP, Zucchetti or TeamSystem in real time. Mismatches are flagged for review; clean invoices flow straight through.
Duplicate and fraud detection
The AI compares each incoming invoice with the history of already-posted documents, blocking duplicates, double submissions and tampered totals before payment is approved.
Email-first acquisition
Connect Google Workspace or Microsoft 365 and the platform pulls invoices, POs and DDTs straight from supplier mailboxes, filters out spam and queues only relevant documents for reconciliation.
Pay-per-use pricing
From €0.50/document on Starter to €0.35/document on Corporate, billed monthly on actual processed volume. No subscription, no minimum, no hidden setup fees.
Four steps from inbox to reconciled ERP entry
1. Capture
Invoices, purchase orders and delivery notes are captured from email, scanners or upload — PDF, XML, FatturaPA and international formats.
2. Extract with the LLM
Data Alchemy assigns a dedicated LLM per document model — today Claude AI — and extracts structured line-level data in under 3 seconds.
3. 3-way match
Each invoice line is matched with the corresponding PO and DDT line by SKU, quantity, unit of measure and price.
4. Validate and post
Reconciled data is validated against SAP, Zucchetti or TeamSystem master data and posted into the ERP via native connector or REST API.
How GPT reconciliation compares to traditional OCR workflows
Legacy OCR + manual reconciliation
- ✓Extracts text but not structured line items
- ✓Requires templates per supplier
- ✓Operators re-key data into the ERP
- ✓Matching done in spreadsheets or by hand
- ✓Duplicates and price mismatches surface late
GPT reconciliation by Data Alchemy
- ✓A dedicated LLM per document model (today Claude AI)
- ✓Zero-template, line-level extraction
- ✓Automatic 3-way matching (invoice-order-DDT)
- ✓Real-time validation against ERP master data
- ✓99.8% accuracy in 3 seconds per document
Built for finance, logistics and procurement teams
Accounts payable automation
Reconcile supplier invoices with POs and DDTs, validate against the ERP and post entries with no manual re-keying.
Learn more →LogisticsDelivery-note matching
Capture DDTs at receiving, align them with open POs and feed the 3-way match that closes each procurement cycle.
Learn more →IDP PlatformFull IDP solution
Beyond invoices: orders, contracts, price lists and bank statements processed by the same AI platform.
Learn more →Frequently asked questions about GPT invoice reconciliation
What is GPT invoice reconciliation software?
GPT invoice reconciliation software uses large language models (LLMs) to read supplier invoices, match each line against the corresponding purchase order and delivery note (DDT), and post the reconciled result into the ERP. Data Alchemy assigns a dedicated LLM to each document model — today Claude AI, which in our tests outperformed GPT, Gemma and DeepSeek, and from Q3 our proprietary Data Alchemy AI — reaching 99.8% extraction accuracy and 3-second processing per document, without templates.
How is GPT-based reconciliation different from traditional OCR?
Traditional OCR converts pixels into text but cannot decide whether an invoice line belongs to a specific purchase order or whether quantities match the delivery note. An LLM-powered reconciliation engine understands document semantics: it identifies suppliers, items, units of measure and prices, then performs 3-way matching against the ERP master data. The result is structured, validated and ready to post — no human re-keying required.
What is 3-way matching (invoice-order-DDT)?
3-way matching is the standard accounts-payable control that compares three documents — supplier invoice, purchase order and delivery note (DDT) — before approving payment. Data Alchemy automates this control: the LLM extracts line items from each document, the platform aligns them by SKU, quantity and price, and the system flags discrepancies (price mismatch, missing goods, duplicate invoice) before the entry hits the ERP.
Does the software integrate with SAP, Zucchetti and TeamSystem?
Yes. Reconciled invoices flow directly into SAP, Zucchetti, TeamSystem and other ERPs through native connectors, REST APIs, webhooks and direct SQL access. Master data (suppliers, items, price lists) is read from the ERP in real time so the AI can validate against the system of record on every document.
Which invoice formats does the GPT reconciliation engine handle?
The platform processes PDF, XML, FatturaPA and international electronic invoice formats, as well as scanned paper invoices. It also ingests purchase orders and delivery notes from email (Google Workspace, Microsoft 365), scanners or upload, classifying each document automatically before reconciliation.
How much does GPT invoice reconciliation cost?
Data Alchemy uses a transparent pay-per-use model: from €0.50/document on the Starter plan down to €0.35/document on the Corporate plan. No monthly subscription, no minimum commitment — you pay only for invoices the AI actually reconciles and posts to your ERP.
See GPT invoice reconciliation in action
Book a free 30-minute demo on your real invoices. We run the AI live, show the 3-way match against your POs and DDTs and calculate your ROI — no commitment, no cost.
Book a free demo