Cerrtus provides a cloud‑based generative AI platform that ingests real‑time supply‑chain signals—such as supplier updates, purchase order changes, MRP exceptions, and inventory levels—and links them to Bills of Materials, purchase orders, and sales orders. The system continuously assesses disruption impact, offers actionable recommendations like alternate routing or supplier substitution, and can autonomously execute mitigation actions to reduce manual intervention, all while integrating seamlessly with existing ERP and workflow tools.
Funding
Funding not disclosed
Founders
Product
Problem
Supply chain teams often react to disruptions only after they impact production, because relevant signals such as supplier delays, purchase order changes, and inventory exceptions are scattered across multiple systems and require manual monitoring.
Solution
Cerrtus offers a cloud‑based generative AI platform that ingests real‑world signals—including supplier updates, purchase order modifications, MRP exceptions, and inventory levels—and links them directly to Bills of Materials, purchase orders, and sales orders. The system continuously assesses the impact of identified risks and generates actionable recommendations, such as alternative routing or supplier substitution. For high‑severity events, Cerrtus can autonomously execute mitigation actions like rerouting shipments or adjusting inventory buffers, reducing reliance on manual intervention. Its large language models are continuously retrained on new data, enabling the platform to adapt to evolving supply‑chain conditions and improve prediction accuracy over time. Integration is achieved through seamless connections to existing ERP and workflow tools, allowing organizations to shift from reactive firefighting to proactive execution without disrupting current systems.
Target Audience
Primary customers are supply chain managers, procurement teams, and logistics operations within mid‑size to large manufacturing and distribution enterprises seeking to improve visibility and responsiveness to disruptions.
Features
- Real‑time ingestion of supplier feeds, PO changes, MRP exceptions, and inventory data into a unified AI engine
- Impact assessment module that quantifies disruption effects across the end‑to‑end supply chain
- Intelligent recommendation engine suggesting alternate routes, suppliers, and resource allocations
- Autonomous mitigation actions that can automatically reroute shipments or adjust inventory buffers
- Continuous learning pipeline that retrains LLMs with fresh supply‑chain data to maintain relevance
- Plug‑and‑play integration with existing ERP and workflow systems, preserving current processes