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Reaching optimal values on the settings to control a process potentially results in reducing energy consumption, human operative hours or other resources.
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.
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.
Optimization 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.
The solution runs in a SaaS model. Therefore you don’t need to invest in servers, spend on implementation or deal with maintenance.
The 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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