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Stellantis inks deal with Amazon for technology and services

Lawrence ButcherBy Lawrence ButcherJanuary 6, 20223 Mins Read
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Opel Astra L

Amazon and Stellantis have announced a series of global, multi-year agreements that they hope will transform the in-vehicle experience for Stellantis customers.

Stellantis will use Amazon Devices, Amazon Web Services (AWS) and Amazon Last Mile, with the two companies working to deploy Amazon’s technology and software expertise across the Stellantis organization, including vehicle development, building connected in-vehicle experiences, and training automotive software engineers. Together, the two companies aim to create a suite of software-based products and services that add value over time through regular over-the-air (OTA) updates.

“Over the past two decades, Amazon has built the technology, expertise and culture of innovation to be a world leader in cloud computing, artificial intelligence and machine learning,” said Andy Jassy, CEO of Amazon. “We’ve used these capabilities to make life better for customers around the world through products and services like Alexa, Kindle and Fire TV, and with AWS we’ve helped thousands of companies transform themselves and their industries. We’re excited to collaborate with Stellantis to transform the automotive industry and reinvent the in-vehicle experience.

“We are inventing solutions that will help enable Stellantis to accelerate connected and personalized in-vehicle experiences, so that every moment in motion can be smart, safe, and tailored to each occupant,” he continued. “Together, we will create the foundation for Stellantis to transform from a traditional auto maker into a global leader in software-driven development and engineering.”

“Working together with Amazon is an integral part of our capability-building roadmap, based on both developing internal competencies and decisive collaborations with tech leaders, and it will bring significant expertise to one of our key technology platforms, STLA SmartCockpit,” added Carlos Tavares, CEO of Stellantis. “By leveraging artificial intelligence and cloud solutions, we will transform our vehicles into personalized living spaces and enhance the overall customer experience, making our vehicles the most wanted, most captivating place to be, even when not driving.”

Amazon and Stellantis will collaborate to deliver software for STLA SmartCockpit, which will run in Stellantis vehicles globally from 2024. The software-defined platform is set to incorporate intuitive in-vehicle experiences through AI-enhanced applications for entertainment, Alexa-enabled voice assistance, navigation, vehicle maintenance, e-commerce marketplaces and payment services.

The SmartCockpit platform will use Amazon products and solutions that are purpose-built for vehicles, and give Stellantis the flexibility to create custom, brand- and vehicle-specific capabilities. The software will also offer curated services and experiences through an app store – all displayed through an intelligent, adaptive user interface design intended to present timely, relevant information and features suited to each occupant’s individual needs and preferences.

Integration with Amazon’s leading smart home and security services will enable customers to proactively monitor and manage their homes while on the go. Stellantis customers will also be able to manage their vehicles from their Alexa-enabled devices at home or their Alexa smartphone app, including using custom Alexa skills to set parameters such as the in-cabin temperature before getting into their vehicle, to schedule services or to order accessories.

As part of the multi-year engagement, Stellantis will also use AWS as its preferred cloud provider for vehicle platforms. The manufacturer plans to migrate its current vehicle data pipeline across its brands and geographies into a cloud-based data mesh, making use of AWS’s advanced capabilities for scalable and durable real-time data streaming. It also aims to accelerate the time-to-market for new digital products that leverage AWS machine learning to deliver greater personalization and more accurate predictive maintenance.

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