Use Case
Application of Copilot in Manufacturing Supply Chain Fraud Analytics
Anomali Copilot provides powerful AI-driven capabilities for analyzing the complex data associated with large-scale supply chains. By applying multiple advanced LLM models, manufacturers can improve their ability to detect fraud, ensure compliance, and optimize supply chain operations.
Enterprise manufacturers often work with extensive networks of suppliers, sometimes numbering in the hundreds or even thousands. Managing these supplier relationships and ensuring that all transactions are accurate, compliant, and fraud-free is a significant challenge. Even with sophisticated enterprise resource planning (ERP) systems, keeping track of every detail related to suppliers, inventory, and compliance can be overwhelming, manual, and error-prone. Supply chain fraud, such as billing discrepancies or misreported inventory, can substantially increase operational costs and expose manufacturers to regulatory risks.
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