Cosmo Tech brings an AI-Simulation decisioning tool powered by goal-seeking simulations generated from a 360° twin of an enterprise organization. Decision makers use Cosmo Tech software to navigate through complexity and uncertainty. They can either test the impact of a disruption or decision, and set target performance indicators to discover the best path out of millions of possible futures.
While traditional digital twins are replicas of individual machines, the newest class of digital twins can model entire organizations and complex systems that include the evolving dynamics of day-to-day business operations. Cosmo Tech leverages real-time data feed to help decision makers simulate possible futures, understand the impact of each decision, and generate robust action plans to thrive in an uncertain future.
Create unlimited what-if experiments to understand the future and answer: “What could happen?” or investigate how to optimize possible outcomes and answer: “What should we do?”. With your digital testbed, running simulations to determine outcomes is both risk-free and requires minimal resources after configuration.
Data in most organizations is not centralized and exists in silos. What looks like a true picture from one data view, is in fact something else when taken from a holistic view. Move from a siloed, asset-based twin to a holistic, system-based digital twin and create real value for your whole business.
Cosmo Tech’s cloud native platform powers all the capabilities you need to rapidly deliver new connected solutions at scale. Built on leading cloud services, Cosmo Tech provides you with the security and scalability your business requires.
Thanks to Cosmo Tech, our entire network is modeled. When the S&OP process gives a new direction, we can modify the digital twin to quickly get the best production scenario. Every month, we adapt it according to the gap observed between forecasts of customer demand and reality.
![[eBook] Tackling supply chain challenges with AI Simulation](png/sc-e-book-3-350x350.png)
