Through artificial intelligence we aim to provide our customers with a competitive advantage
This McKinsey report shows that sensor data-driven operations analytics reduces operating costs by 5% to 15%. In addition, according to this PWC report, due to Predictive Maintenance 4.0 uptime is improved by 9%. Based on structured interviews from our market research an increased energy efficiency of 5% to 15% is concluded as well.
We can set out an implementation plan, in which available technologies such as predictive maintenance, smart quality sensors and predictive process control are applied in those areas where they are needed most for operational improvement and business effectiveness in general. We work according to the three step AMELA AI program:
STEP 1: QUICK SCAN
STEP 2: DATA SCIENCE & DATA ENGINEERING
STEP 3: IMPLEMENTATION