Manufacturing & Automotive
Unify operations inside the plant and at every tier.
Demand, supply, materials, and machinery run off one model of the line, so the four planning cycles stop disagreeing. Vision catches defects as they happen, changeovers are sequenced against real order books, and maintenance is scheduled around production windows instead of into them.
Case study
Avathon in action
Operational optimization
Integrates plans, materials, and processes to optimize operations across the manufacturing facility. Digital Twins —in partnership with NVIDIA Omniverse—can simulate proposed changes or new line introductions before implementation.
Supply chain/logistics management
Virtually test the impact of supply disruptions, trade dynamics, and demand surges before committing resources. Automating parts ordering enhances supply chain efficiency and ensures optimal order quantities while providing end-to-end visibility of parts in transit, reducing the need for lastminute expedited shipping.
Intelligent materials planning
Consolidates parts readiness from ERP systems and supplier data, automatically aligning EBOM, MBOM, and build sequences to flag mismatches before they occur and anticipating material availability risks. Manage suppliers to improve on-time shipments and better understand how late shipments will impact production schedules, preventing production lines from going down due to material availability.
Predictive Maintenance of Factory Assets/Systems
Uses normal behavior modeling (NBM) and anomaly detection to identify systems trending toward failure, prescribing mitigating actions to ensure uninterrupted operations.
Visual AI for worker safety
Maximizes worker health, safety, and environmental (HSE) performance by identifying personal protective equipment (PPE) compliance, worker/vehicle interactions, hazardous area entry by unqualified personnel, smoke/fire/substance detection, injury detection/prevention, and other hazards.