WFP is committed to putting measures in place to analyze the vast amounts of data generated during regular operations of delivering cash assistance to the people we serve. These measures are necessary in detecting fraudulent activities or any other anomalies which are critical in improving system reliability and enhancing operational efficiency.
Project overview
Anomaly Detection is an Artificial intelligence (AI) tool that helps WFP teams analyze cash-based transfer (CBT) operations at the Country Office level.
The challenge
The solution
Anomaly Detection provides detailed insights into workflows to better understand anomalies in WFP CBT operations. The tool automates data collection, processing, training, and analysis, ensuring WFP maintains data accuracy, improves efficiency and reduces the risk of missed irregularities.
The tool is designed to handle growing amounts of data and improve how we detect anomalies, greatly increasing the efficiency and reliability of CBT operations.
Last updated:
21/10/2024