To maximize business outcomes, it's not enough to increase production rates. The tasks, checks, adjustments, and motion required for production must be orchestrated to find the most effective use of time and resources with the least amount of input.
Save on resources
Reaching optimal values on the settings to control a process potentially results in reducing energy consumption, human operative hours or other resources.
Improve productivity
Modelling and optimizing the settings results in better performance. Boost profitability and gain revenue directly from optimizing the process and reach your KPIs more effectively.
Reduce cost using predictive analytics
As a highly automated solution, multiple variables and sources can be incorporated smoothly. You can implement both internal (such as sales data) and external factors like weather, calendar events, demographics, etc.
No need for knowledge of heuristics and standard mapping functions (eg.high level in physics e.g. thermodynamics, fluid dynamics, etc.). Success rate does not depend on the area of application, nor on various environmental occasions.
For more informationOptimization with an AI solution can mitigate this risk of conflicting objectives. Due to the iterative modelling and simulation over all the objectives, it will result in fine-tuned optimization.
For more informationThe solution runs in a SaaS model. Therefore you don’t need to invest in servers, spend on implementation or deal with maintenance.
For more informationThe solution is not dependent on any vendor, it doesn’t require a specific IoT device or platform. You can have any type of sensor, we are agnostic about manufacturer and model.
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Reach out, and let’s take your business to the next level.
Istvan Boscha
CEO DACH
Balazs Molnar
CEO APAC