Trivellato launches AI-powered automotive platform in Italy

By AI, Created 4:48 PM UTC, May 18, 2026, /AGP/ – Gruppo Trivellato and Web Industry have launched a new digital automotive ecosystem in Vicenza that uses machine learning, neural search and predictive architecture to personalize car shopping in real time. The platform is designed to speed search, surface stock faster and reduce friction across buying, leasing and rental journeys.

Why it matters: - Gruppo Trivellato is pushing automotive retail beyond a standard e-commerce portal into a data-driven buying system. - The new platform is built to personalize the shopping journey in real time and reduce friction for customers looking to buy, lease or rent vehicles. - The launch aims to show how AI and big data can make inventory search faster and improve conversion efficiency.

What happened: - Gruppo Trivellato, in partnership with digital firm Web Industry, rolled out a new digital ecosystem in Vicenza, Italy, on May 12, 2026. - The platform combines machine learning, neural search and predictive architecture. - The system is intended to replace traditional parametric filters with a more proactive search and recommendation experience. - The company introduced TRIVUS, an intelligent agent embedded in the application core. - The platform includes more information.

The details: - TRIVUS analyzes navigation metadata and preference clusters to anticipate user needs. - The platform uses an OpenSearch cluster for fast indexing and full-text search. - The system is designed to deliver near-zero latency when matching physical stock, promotions and leasing or rental services. - The platform is connected to more than 2,000 vehicles in stock. - The front end changes based on user behavior to reduce cognitive load. - The interface can switch instantly between cash pricing and financing installments through dedicated APIs. - Luca Crisà, CMO and Digital Strategy & Innovation Director at Gruppo Trivellato, said the company moved from a static catalog model to a data-driven experience. - Crisà said TRIVUS helps turn browsing sessions into structured data that improves conversion efficiency. - Web Industry handled the technical execution, with a focus on backend scalability and data integrity. - Alessandro Rubini, President of Web Industry, said the AI layer is acting as the engine for content distribution rather than a superficial add-on. - Rubini said the main challenge was connecting complex automotive stock databases with continuous learning algorithms while keeping transparency and speed.

Between the lines: - The launch signals a broader shift in car retail from search-by-filter to search-by-intent. - If the system performs as described, the biggest gain may be less about flashy AI and more about faster matching between shopper intent and live inventory. - The emphasis on transparency and data integrity suggests the platform is being positioned as an operational tool, not just a marketing upgrade.

What’s next: - Gruppo Trivellato and Web Industry are positioning the platform as a benchmark for the automotive sector. - The next test is whether the new architecture can sustain speed, accuracy and personalization as inventory and user traffic grow. - The companies are betting that AI applied to large vehicle datasets will improve the digital purchase process at scale.

The bottom line: - Trivellato is trying to turn car shopping into a predictive, AI-guided experience built around live stock and real-time personalization.