How we automated 12 critical business processes for a logistics company—from invoice processing to shipment tracking—saving 2,000+ employee hours monthly and eliminating a 15% manual error rate.
A mid-size logistics company ran 12 critical workflows manually: invoice data entry from PDFs, shipment status updates to clients, purchase order approvals, and weekly reporting. Employees spent 2,000+ hours monthly on these tasks with a 15% error rate causing payment disputes.
We mapped all 12 workflows and built automated pipelines using n8n (self-hosted) for orchestration. OCR with Python extracts data from PDF invoices with 99.2% accuracy. Automated email and Slack notifications replace manual status updates. All workflows include exception handling and audit trails.
Every feature was designed to solve a specific business problem—not just to add complexity.
OCR-powered invoice and PO data extraction with validation against ERP data—no manual entry.
n8n-based visual workflow engine with conditional logic, error handling, and retry mechanisms.
Context-aware Slack, email, and WhatsApp alerts—right person, right message, right time.
Complete event log for every automated action with timestamps, actor, and data snapshot for compliance.
Pre-built connectors for SAP, QuickBooks, Salesforce, Shopify, and 400+ APIs via n8n.
Real-time monitoring of workflow execution, error rates, and processing volumes.
Scalable cloud-native architecture designed for high availability, horizontal scaling, and zero-downtime deployments.
End-to-end encryption, role-based access control, automated security scanning, and regular penetration testing built into the SDLC.
Agile sprints with weekly demos, CI/CD pipeline via GitHub Actions, and comprehensive documentation handed over at project close.
Let's talk about your project. We'll scope it, plan it, and deliver it—on time and on budget.
