KION, NVIDIA, and Accenture will present innovative approaches to supply chain optimization at the Consumer Electronics Show (CES) 2025 in Las Vegas. Using AI-controlled robots, digital twins, and cutting-edge simulation technology, the companies will demonstrate how warehouses can be made more efficient, resilient, and flexible.
Physical AI and digital twins: New standards in logistics
At the heart of the solutions presented is the integration of physical AI models and digital twins. The blueprint developed by KION and Accenture,country email list called “Mega,” in NVIDIA Omniverse forms the basis for the simulation and optimization of warehouses. This technology enables the analysis and continuous improvement of both newly planned and existing warehouse environments.
Digital twins simulate the physical world and create a test bed for all aspects of warehouse operations without disrupting ongoing operations. This includes the optimal number of robots and employees, the facility layout, and the behavior of automated fleets.
Benefits for companies: efficiency, security and flexibility
The use of digital twins offers numerous advantages:
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- Increased productivity : Through whatsapp marketing examples more precise simulations, companies can optimize their warehouse processes and reduce costs.
- Security improvement : AI-assisted cameras and robots minimize security incidents.
- Adaptability : Systems respond in real time to fluctuating demand and changing inventory requirements.
Robots trained by AI and digital twins can continuously optimize their tasks. The result: greater efficiency and improved warehouse performance.
Interactive presentation at CES 2025
The Accenture Innovation Hub at CES 2025 south africa numbers will showcase an interactive application demonstrating . The benefits of the digital twin. Visitors can experience how key metrics such as throughput times, error rates, and safety standards are improved by the new technologies.
A further step is the integration of a generative AI model that uses real-time data to identify and resolve bottlenecks, accidents, and other challenges.