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Invoice-based organizations generate large volumes of invoices across diverse customers, pricing plans, usage patterns, and billing cycles.
At this scale, billing anomalies such as over-charging, under-charging, missing line items, duplicate invoices, incorrect pricing application, and abnormal usage charges frequently occur.
These anomalies often remain undetected until customer disputes, delayed payments, or revenue audits, resulting in financial leakage, operational overhead, and erosion of customer trust.
Current billing validation approaches rely heavily on static rules and manual audits, which are insufficient to detect subtle, emerging, or context-dependent anomalies as billing behavior evolves over time.