Industry
Intelligent decisions
based on data
Sustainable innovation in industry
With a focus on sustainability, companies in the industrial sector can innovate in clean technologies, optimize processes to reduce emissions and promote fair labor practices throughout the supply chain.
Incorporating sustainable indicators into strategic objectives is a boost to companies' economic growth. New technologies such as Artificial Intelligence are a great ally for companies on the road to achieving sustainability objectives.
At Qaleon, we help organizations integrate corporate sustainability as a strategic axis to turn it into a competitive advantage, a driver for innovation and an opportunity to grow in an efficient, safe and sustainable way.
Best practices developed
Industry demand forecasting
We develop predictive models that anticipate future demand for specific products or services, allowing us to proactively plan the necessary resources.
These predictions are the basis for efficient and sustainable planning, avoiding possible product surpluses and minimizing raw material waste, among other key aspects.
Reduction of waste and idle energy use
We use optimization models to improve production and inventory management, reducing unnecessary costs associated with the energy consumption of idle machines.
Through these models, we minimize long machine downtime due to lack of raw materials or material changes in equipment for the manufacture of different products. In this way, we maximize operational efficiency and contribute to the reduction of waste and carbon footprint.
Optimization of industrial processes
We use AI and BI to analyze production data, energy consumption, emissions and other key environmental performance indicators at industrial facilities. Identifying areas of inefficiency and opportunities for improvement to reduce resource consumption, minimize waste and emissions, and improve the environmental footprint.
Sustainable supply chain
Our AI algorithms and BI techniques assess and optimize the sustainability of the supply chain, from the procurement of raw materials to the distribution of finished products. We evaluate suppliers against ESG criteria, identifying risks in the supply chain to develop strategies that mitigate these risks and promote ethical and responsible business practices.
Predictive maintenance and asset management
We monitor the condition and performance of industrial assets, such as machinery and equipment, and predict failures or maintenance problems before they occur. This helps reduce unplanned downtime, optimize asset utilization and extend asset life, improving operational efficiency and reducing waste.
Occupational health and safety
We identify occupational hazards to improve working conditions in industrial environments. We analyze data with AI and BI of accidents and injuries, identify patterns and trends, to ensure a safe and healthy work environment for employees.
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Machine breakdown (MTBF)
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Time to machine failure (MTBF)
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Production Jacks
Exploit the value of your data
We help you at every stage of your sustainable transformation, positioning you to compete in the digital age and build a solid foundation for informed decisions.
Are you ready for the revolution?
