Industry
Intelligent decisions based on data
Innovation and transformation for the industry
At Qaleon, we help companies integrate data and AI as a strategic axis to turn it into a competitive advantage, a driver for innovation and an opportunity to grow in an efficient, secure and sustainable way.
Use Case 1
Industry demand forecasting
We implement demand forecasting models based on artificial intelligence and analysis of historical, seasonal and market data, in order to accurately anticipate production, inventory and logistics needs. We improve operational efficiency, reduce costs and increase responsiveness to market changes.
%
Machine breakdown (MTBF)
%
Reduction of fixed inventory
Positive impacts:
- Inventory optimization: reduction of overages and shortages through more accurate planning.
- Improved production planning: alignment of operational capacity with expected demand, reducing bottlenecks.
- Increased customer satisfaction: greater product availability and shorter delivery times.
Use Case 2
Positive impacts:
- Reduced waste of material resources by avoiding unnecessary vacuum cycles.
- Reduction of energy consumption associated with vacuum equipment, contributing to decarbonization.
- Improve operational efficiency and equipment life through more precise management.
%
Energy consumption of vacuum systems
%
Generation of waste due to inefficient processes
%
Operational availability of vacuum equipment
Use Case 3
Predictive maintenance and asset management
Implementation of predictive maintenance solutions based on artificial intelligence and IoT sensors to anticipate failures, optimize critical asset management and reduce unplanned downtime, improving operational efficiency and extending equipment life.
%
Unplanned downtime
%
Corrective maintenance costs
%
Average useful life of critical assets
Positive impacts:
- Reduction of unexpected shutdowns, improving operational continuity.
- Reduction of corrective maintenance costs thanks to pre-planned interventions.
- Optimization of the use of assets by extending their useful life cycle with timely maintenance.