Industrial Machine Learning: Failure Prediction and Energy Optimization

6 novembre 2025

Project Context

A Lyon-based company specializing in energy performance management through cooling sought to strengthen its competitive advantage.

Its dual objective was to:

  • Reduce maintenance costs caused by unexpected machine failures
  • Optimize energy consumption in its buildings while aiming for ISO certification to access subsidies


Objectives

The main goal was to develop a Machine Learning-based solution to:

  • Anticipate and prevent critical equipment failures
  • Reduce operational costs and extend equipment lifespan
  • Optimize building energy consumption (based on occupancy, weather, and manual settings)


Mission Duration

A multi-month engagement including solution design, algorithm development, and knowledge transfer to internal teams.


Implementation

Agaetis implemented a Data & AI approach focused on business value:

  • Diagnosis and scoping: Clarification of opportunities through the use of existing industrial data
  • Predictive algorithm development: Design of advanced models to anticipate failures and detect anomalies
  • Energy optimization: Creation of tools leveraging occupancy, weather, and manual control data to reduce energy consumption
  • Knowledge transfer: Training and support for internal teams to ensure ownership and sustainability of AI models


Results Achieved

  • Reduced unexpected failures: 20% decrease in critical incidents
  • Energy optimization: Significant reduction in energy costs through smarter resource management
  • Extended equipment lifespan: Improved preventive maintenance and machine responsiveness
  • Increased Data/AI maturity: Predictive algorithms integrated into operational processes


Key Success Factors

  • Agaetis’ expertise in Machine Learning applied to industry
  • Combination of data science with the client’s business knowledge
  • Implementation of training and skill transfer programs
  • Pragmatic and results-oriented approach


And You?

Are you wondering about:

  • Using Machine Learning to reduce maintenance costs?
  • Optimizing your energy consumption?
  • Implementing anomaly detection solutions tailored to your industrial environment?

👉 Contact our experts to turn your data into levers for industrial and energy performance.

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