Streamline your revenue cycle with RexoERP's high-fidelity billing module. Our system synchronizes sales orders, taxation, and accounts receivable into a single unified dashboard, providing the sub-second intelligence needed to ensure 100% compliance and optimize your cash flow.
Share your requirements and our specialists will get back to you.
Integrated tax engine with automated HSN/SAC code mapping and real-time E-Invoicing support.
Manage global clients with automated exchange-rate adjustments and localized tax logic.
Automated recurring invoice generation for service-based models with sub-second renewal logs.
Real-time visibility into outstanding invoices with automated age-analysis and collection alerts.
Customizable invoice designs with support for branding, digital signatures, and local languages.
Enforce customer credit limits and outstanding blocks automatically during the order-to-bill cycle.
Seamless generation and management of proforma documents with one-click conversion to final tax invoices.
Integrated support for digital payment links (UPI/Cards) sent along with digital e-receipts.
Permanent, tamper-proof history of every invoice adjustment, credit-note, and payment reconciliation.
Advanced BI dashboards for tracking average collection period, revenue trends, and departmental P&L.
Modern business is a race against time and complexity. RexoERP provides the unified digital core needed to manage complex billing cycles while ensuring absolute financial integrity.
Identify and optimize high-velocity billing patterns to reduce Days Sales Outstanding (DSO) by 20%.
Achieve perfect financial synchronization between your sales orders and final accounts.
RexoERP integrates advanced machine learning and autonomous logic to transform static data into high-fidelity strategic intelligence.
Real-time AI monitoring of ledgers and transactions to flag anomalies and prevent fiscal leakage.
Machine learning algorithms that automate bank statement matching with 99% accuracy.
Advanced models that forecast future liquidity by analyzing historical AP/AR trends.