TomTom
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TomTom has 2 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 1 country.
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Hyperscaler mix
See whether TomTom's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How TomTom builds AI
Build / Buy / Compose across this company's documented cases
2 of 2 cases classified (100%) · Compare all use-case types
Use case portfolio
Use case types at TomTom
AI platform leads with 1 of 2 documented cases; 2 distinct types appear across the visible portfolio.
Reported outcomes
1 case reports measurable results
−30%
Revenue & growth
median · 1 metric
+25%
Quality & accuracy
median · 1 metric
Medians of results published in TomTom cases, normalized for comparability. See all benchmarks →
Evidence persistence
2 of 2 judgeable cases are still publicly referenced · 2 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
Technology snapshot
What TomTom uses across visible cases
AI Agents appears in 2 of 2 indexed cases; 11 named technologies are mentioned, led by Azure.
Capability mix
All Use Cases (2)
Automotive Leaders Drive Transformation with AI-Powered Mobility Solutions
The automotive and mobility sector is undergoing significant transformation, leveraging Microsoft Azure, AI, and agentic AI solutions for software-defined vehicles, autonomous driving, product lifecycle management (PLM) migration, digital cockpit experiences, and customer-centric innovation.Microsoft provides a comprehensive reference architecture for mobility, supporting software engineering, ADAS/AD pipelines, and customer experience digitalization.Automotive companies such as Mercedes-Benz, Audi, Toyota, Bosch, NVIDIA, and others implement cloud-based and AI-driven technologies to optimize R&D, manufacturing, customer engagement, and overall operational efficiency.Detailed AI-driven reference architectures, including PLM on Azure and digital testbeds for autonomous vehicle development, accelerate time to market and innovation.Data and AI unify vehicle and asset data across platforms, enabling actionable insights for connected mobility, smart operations, and enhanced customer journeys.Mobility Agents and AI copilots are used by brands such as CarMax, Porsche, Volvo, BMW, Nissan, and KPIT, automating customer interactions and after-sales services for better satisfaction and productivity.AI-powered solutions extend to airlines and airports, with American Airlines, Lufthansa, and Miami International Airport leveraging reference architectures for operational efficiency and passenger journey optimization.
Transportation Leaders Transform Operations with AI-Powered Solutions
Four leading transportation and logistics companies—TomTom, CarMax, Fraport, and Alstom—have leveraged Microsoft Azure OpenAI Service and related technologies to drive significant transformation across their operations. TomTom introduced the Digital Cockpit, an AI-powered in-car infotainment solution, reducing software development team size and enabling 95% accurate complex driver queries. CarMax accelerated the creation of customer-facing research content, going from 11 years of manual work to just a few months with 80% editorial approval. Fraport launched FraportGPT to support employee efficiency amid a 30% workforce reduction, integrating the solution into a broad range of operational and administrative functions. Alstom harnessed generative AI throughout its engineering and supply chain processes, improving specification quality by 25% and supporting an augmented workforce across finance, HR, and operations. Each company reported improved customer experiences, significant cost and time savings, and enhanced adaptability to rapid industry changes.
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