Warehouse Billing Management System
We built an enterprise-grade billing engine that automated complex tariff rules, reconciled storage and handling charges, and streamlined invoicing across a multi-site warehouse network, reducing manual effort and accelerating cash collection.
Business Challenge
The client operated multiple regional warehouses with hundreds of pricing rules depending on SKU dimensions, weight, storage duration, handling events, and bespoke customer SLAs. Manual billing spreadsheets created frequent disputes and delayed settlements.
Our Approach
- Flexible Tariff Engine: Implemented a rule-driven tariff engine allowing nested conditions, unit conversions, and priority overrides to correctly calculate charges across scenarios.
- Event-Based Billing: Shifted billing from periodic batch runs to an event-driven model capturing handling events in real-time and producing draft invoices for review.
- Reconciliation & Dispute Workflow: Added automated reconciliation checks that flagged anomalies and generated human-friendly dispute tickets directly linked to the invoicing UI.
- Integrations: Integrated with the client's WMS, ERP, and payment gateway to synchronize inventory events, customer master data, and automate settlements.
Key Outcomes
- Faster Billing: Billing cycle time reduced by 80%, enabling faster invoice delivery and earlier collections.
- Accuracy: Invoice discrepancies dropped dramatically, improving customer satisfaction and reducing dispute handling overhead.
- Operational Efficiency: Automated event capture and reconciliation removed manual spreadsheet processes and freed the finance team for higher-value work.
Technical Notes
The solution was delivered as a static frontend dashboard backed by a serverless ingestion pipeline and short-lived compute workers for tariff evaluation. Policies and rules are stored as JSON expressions allowing business users to update pricing without developer involvement.
Explore More Case Stories
Discover how we help enterprises optimize operations, automate workflows, and scale architectures.
