Automotive: driving digital transformation with data and AI
We support the entire automotive value chain with digital solutions, data, and AI technologies to evolve processes, improve operational efficiency, and enable new mobility models.
Industry
An evolving automotive ecosystem
The automotive sector is undergoing a profound transformation, driven by technological evolution, a growing focus on sustainability and safety, and changing consumer habits
The widespread adoption of digital services, the central role of data, and the evolution toward connected mobility models are reshaping operating models, processes, and relationships among all players across the value chain.
In this context, we no longer speak only about vehicles, but about integrated mobility ecosystems, where manufacturing, sales, usage, and services converge into a single digital value chain.
Mobility is therefore evolving toward multimodal, data-driven, and experience-oriented models: vehicles become intelligent nodes within a connected ecosystem, interacting with infrastructure and digital platforms and exchanging real-time data on location, status, and usage, making mobility services more integrated, safer, and customizable.
AI and data: the engine of digital transformation in the automotive industry
Digital technologies are the primary enabler of this transformation. Artificial Intelligence in the automotive sector makes it possible to automate and optimize core processes, from product planning and configuration to production management, all the way through to sales and after-sales systems.
Through advanced analytics models and Generative AI solutions, companies are able to make faster and more informed decisions, improve operational efficiency, and enable advanced simulations and new ways of interacting with customers, dealers, and industry operators.
The value of data does not lie in the mere collection of information, but in its integration across the entire automotive value chain, also enabled by AI. Connecting process data, energy consumption, and plant utilization data makes it possible to identify inefficiencies, optimize resources, and reduce costs.
Thanks to a data-driven approach, data becomes a strategic asset to:
The combination of data and AI enables a concrete and measurable digital transformation, capable of generating value across the entire automotive value chain.
How we support the digital transformation of the automotive industry
PORTFOLIO MAP
Automotive
We support our customers across the entire automotive value chain, from vehicle design and manufacturing through sales, after-sales, and new mobility services.
We achieve this by integrating processes, platforms, and expertise, through an end-to-end approach that brings together consulting, technology, and operational execution.
We support strategic suppliers and line builders in the design, configuration, and management of systems supporting automotive production.
Main services
We work alongside automotive manufacturers across the entire value chain, from production to sales, through to advanced mobility services.
Main Services
We work with NSCs, importers, and distributors to enable efficient, consistent commercial models fully integrated with car makers’ central systems.
Main services
We partner with leading dealer groups to build integrated digital ecosystems that support sales, performance, and business governance.
Main services
We support automotive and mobility service operators and providers in the development and management of reliable, scalable, and integrated platforms.
Main services
Modern mobility is no longer centered on the single vehicle, but on integrated digital ecosystems that include infrastructure, services, data, and operational platforms.
Technologies such as cloud, data analytics, and AI make it possible to orchestrate complex processes, ensure service continuity, and enable new operating models.
Engineering operates precisely in this space of integration between automotive, infrastructure, and transport services.
Mobility is built on distributed processes that span manufacturing, infrastructure, sales, and digital services. Without an end-to-end vision, these processes risk becoming fragmented and inefficient.
Engineering enables an integrated approach that makes it possible to manage complexity, deliver a customer‑centric experience, ensure operational continuity, and maximize the value of data and technologies across the entire mobility value chain.
This evolution requires digital solutions that improve the efficiency of production processes, energy management, service intermodality, and the overall user experience.
Leveraging its expertise in Automotive, Transport, Infrastructure, Smart Cities, and Private/Public Mobility, Engineering supports companies and public administrations in building sustainable mobility models.
Recommended for you
Explore additional content associated with the topic