Upload documents and let AI extract and map invoice fields into structured JSON.
Upload one or more files. We'll extract text, convert to structured JSON with Cargodocket, and map all detected fields.
Handle the changing environment of logistics automation with confidence. Our comprehensive glossary simplifies technical terms and offers precise definitions to help you prepare your company for the future. Learn the language that promotes efficiency and creativity, from the basics of automation to more complex ideas.
Record Matching Automation automates the comparison of key business documents such as invoices, purchase orders, and receipts within ERP systems. This process ensures consistency between expected and actual transactions by identifying discrepancies, verifying financial accuracy, and reducing the need for manual cross-checking in logistics and procurement workflows.
The system extracts structured data from multiple sources, like scanned invoices, digital purchase orders, and goods receipts, and compares them line by line using predefined matching rules. AI models detect mismatches in quantities, prices, or tax details and either flag them for review or automatically reconcile them. Once matched, the data is approved and posted in the ERP system, streamlining financial validation and recordkeeping.
Invoice Verification
Record Matching Automation checks if invoice values align with purchase orders and receipt data, minimizing billing errors and overpayments.
Purchase Order Accuracy
It validates that received goods and services match what was ordered, improving inventory control and supplier accountability.
Fraud Prevention
By automating the match process, it detects duplicate or suspicious entries early, reducing the risk of financial fraud or duplicate payments.
ERP Integration
The automation syncs directly with ERP modules to update records, flag mismatches, and maintain consistent, audit-ready data flows.
Time and Cost Efficiency
Automated matching eliminates hours of manual work, enabling logistics and finance teams to focus on exception handling and analysis.
Record Matching Automation enhances financial control and operational efficiency by eliminating human error from the validation process. For AI-enabled logistics platforms like Cargo Docket, it ensures accurate, fast, and secure reconciliation of critical documents, supporting better decision-making, reducing fraud risks, and improving trust across procurement and logistics transactions.
