Digitalization and Artificial Intelligence

Digitalization is a performance lever available to all industrial companies, from SMEs to large corporations. At Avencore, we simplify digitalization, arguing that you don’t have to wait until you have all the “right” data to get started. A digital approach allows you to structure existing data and make better use of it, to gain valuable insights and rapidly improve operational performance. It is also a powerful lever of attractiveness: instead of dreading a major cultural change, employees who already use digital tools on a daily basis often see digitalization as an opportunity to increase their efficiency and their involvement within the company. 

Digitalization in manufacturing is leading to concrete, measurable gains that are transforming operations and boosting competitiveness. We see our customers achieving significant improvements in industrial performance as a result of automating and accelerating processes as well as implementing predictive and optimization tools. We also help companies to define a clear data strategy, identify essential data and hold stakeholders accountable, while putting reporting and governance tools in place. This digital transformation allows for more informed/responsive decision-making, and improves customer satisfaction through omnichannel approaches and a more personalized experience.  

Our methodical approach is based on several key stages: 

• Digital maturity audit: assessment of your current level of digitalization and identifying areas for improvement. 
• Process performance analysis: an accurate diagnostic of your industrial processes to target priority levers for improvement that are expected with digitalization.
• Co-constructing the digital strategy: developing a concrete action plan, phased to encourage continuous adaptation
• Implementation of concrete POCs before scaling up: validating the effectiveness of the digital solution before it is rolled out across the board, thereby minimizing risks and optimizing investment.
• Supporting cultural change: raising awareness and training employees to ensopture long-term adoption of the new tools. 

At Avencore, we design, train, and deploy machine learning and deep learning models to maximize the operational efficiency of our clients. Our industrial performance improvement models focus on several key areas, including: 

• Supply Chain and production flow optimization: we create optimization and prediction algorithms that improve efficiency throughout the industrial value chain.
• Anomaly detection and predictive maintenance: we develop deep learning models to track anomalies and reduce non-quality. We also deploy predictive maintenance solutions to help better anticipate operations.
• Design optimization: we implement AI models that reduce production costs by detecting potential standardization and streamlining of ranges.