Use Case

Increasing competitiveness by monitoring energy expenditure

Monitoring energy consumption in a production process allows energy expenditure to be accurately allocated to individual products, optimizing costs and improving market competitiveness.

Where: international
Mission
Monitoring energy consumption addresses the growing need to align with ecological and sustainability practices, fostering a more responsible approach to the environment. Furthermore, accurately allocating energy costs to each product allows companies to make informed decisions on pricing strategy and operational efficiency, providing a crucial competitive advantage.
Solution
SAV.e platform leverages IoT technology to monitor the energy consumption of each machine and production process in real-time. The Energy module offers sophisticated analysis tools that process the collected data, identifying trends, consumption peaks and anomalies. SAV.e directly correlates energy consumption with individual products and processes, accurately attributing energy costs to each. Customizable and user-friendly dashboards provide clear and understandable reports, facilitating energy performance analysis. SAV.e is designed to be easily integrated with other business management systems, ensuring a continuous and cohesive flow of information. This integration enables a global view of business operations, further facilitating cost optimization.
Digital Ecosystem
Actions
Digital Ecosystem
  • Implementation of an Advanced Energy Monitoring System to collect real-time data on energy consumption at each stage of the production process
  • Advanced Data Analysis, identifying trends and anomalies in energy consumption
  • Implementation of Standardised Energy Efficiency Procedures, including preventive maintenance programmes Staff training and awareness-raising
  • Development of a Dynamic Pricing Strategy that takes into account the real energy costs of each product 
  • Continuous Monitoring and Reporting 
  • Search for Renewable Energy Sources that can be integrated into the production process
Expected results
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