Seamless real-time synchronization bridging logistic ERP workflows and financial accounting modules, enhanced with AI document processing.
The client, a mid-sized B2B distribution business, faced significant operational friction due to manual data entry between their in-house ERP system and their accounting software. Processing vendor invoices (mostly in physical scanned paper or unstructured PDF sheets) and synchronizing stock took over 24 hours, leading to shipping delays and frequent human errors in financial reconciliation.
Any delays in processing invoices immediately delayed logistics dispatching and impacted relations with regional distributors, making automated document flows and intelligent data reading critical.
Norexter Solutions designed a high-performance integration middleware using Node.js and PostgreSQL for transaction auditing. We implemented a robust job queue based on Redis (BullMQ) to process data synchronization asynchronously. This setup guarantees retry logic and prevents any financial transaction loss.
To eliminate manual data entry of scanned billing files, we integrated OpenAI (GPT-4o) and Gemini APIs to read and extract invoice metrics, mapping unstructured parameters into clean JSON schemas prior to DB ingestion.
The platform operates in a fully automated manner. When a scanned invoice enters the queue, it is routed through our AI extraction engine, which processes vendor names, billing numbers, items, quantities, and totals with high precision. The integration layer validates these fields, mapping them into the Saga accounting database, while discrepancies trigger real-time notifications for the admin team.
The AI-powered integration layer eliminated manual data transfer entirely, guaranteeing 100% data consistency across both systems. Document processing times plummeted from hours to seconds.
