P2P XAP-Anomaly Predictor
P2P is a cutting-edge machine learning and cloud-based application that uses specific AI-based machine learning algorithms and a powerful rule-based engine to identify and anticipate exceptions and abnormalities in procure-to-pay transactions.
It gives companies an effective and quick means to identify P2P transaction-related areas of concern, assists companies in improving compliance reporting, and fosters productivity.
Key Features
P2P Anomaly Detection
Detect/predict potential suspicious transactions, frauds, and corrupt practices with high accuracy.
P2P Process Improvement
The supply chain P2P processes can be improved and refined using this very effective and efficient method of identifying process gaps.
Compliance Reporting
An efficient and automated technique for meeting government compliance reporting requirements such as FCPA, SOX, and others.
Machine Learning
Machine learning anomaly detection methods that are tailored for every individual red flag.
Secure and confidential
Data Security and Confidentiality are managed with the utmost care in a highly secure cloud environment.
Cost Saving
Potential cost savings from preventing money leakage.