Known for quality and innovation, the client is a global leader in automotive manufacturing. Its global presence and commitment to sustainability make it an iconic brand.
CONTEXT AND CHALLENGES
Substance management in the automotive sector has always represented a critical challenge, with significant economic and regulatory implications. Across the industry, processes for mapping the regulatory environment are often conducted in an archaic, manual, and inaccurate way.
To make informed decisions about products incorporated into cars, products present in parts, and products used in the production process, automotive companies need to be able to constantly assess risks, legislation, and regulations that may impact their complex environment.
Co-creating with the client, Stefanini trained AI models to predict future regulations. The data that feeds the solution comes from a variety of sources, including academic research, new legislation, regulatory institutes, technical standards, and even social listening. After extracting data from more than 66,000 critical components, machine learning algorithms are used to find patterns and make predictions, allowing the client to make more confident, assertive business decisions.