TCO Calculator
for PO Anomaly Detection

Enterprises process large volumes of purchase orders, making it difficult to manually identify errors, unusual activity, or potential fraud. Legacy OCR systems can extract PO data but lack the intelligence to analyze patterns such as abnormal pricing, quantity deviations, or supplier anomalies. This forces procurement teams to rely on time-consuming manual checks, increasing operational costs and exposing organizations to financial and compliance risks.

AI-powered PO anomaly detection automates the identification of irregularities by comparing purchase orders against historical trends, contract terms, and market benchmarks. By proactively flagging unusual pricing, quantities, or supplier activity, organizations reduce procurement risk, prevent financial leakage, and accelerate approval cycles.

This total cost of ownership calculator helps you evaluate the true ROI of the category using modern AI powered alternatives over traditional OCR based solutions.

TCO with Existing Solution

Legacy OCR solutions achieve 80% accuracy and cannot analyze historical or contextual PO data. Procurement teams must manually review purchase orders for anomalies, significantly increasing cycle times, costs, and the likelihood of missed errors.

TCO with AI-based Solution

Modern AI with OCR, NLP, and anomaly detection models achieves 92% accuracy ±2%, enabling proactive detection of suspicious or non-compliant PO activity. While this reduces manual effort substantially, AI cannot always distinguish between true anomalies and acceptable business exceptions, requiring targeted verification before approvals.