Industries
Data and AI Solutions for the Automotive Industry
Turn connected vehicle, production, warranty and customer data into faster engineering decisions, better quality and new digital services for the software-defined era.
Data for the Software-Defined Vehicle Era
Vehicle manufacturers, tier suppliers, dealers and mobility providers are navigating several transitions at once: electrification, software-defined vehicles with over-the-air updates, new direct-to-consumer sales models and intense cost pressure. Connected vehicles stream telematics and diagnostic data, factories produce detailed quality records and customers interact across apps, dealers and service centers. The companies that connect this data shorten engineering cycles, catch quality issues before they become recalls and build profitable digital services.
Hanoi Technology builds the data platforms, analytics and AI that make this possible. We design scalable pipelines for connected vehicle data, apply machine learning to warranty, quality and battery data, build customer and dealer analytics and support cybersecurity and data obligations such as UNECE R155 and R156, ISO/SAE 21434, the EU Data Act and the EU Battery Regulation’s battery passport.
The Challenge
The Data Challenges Facing the Automotive Industry
Vehicles have become data platforms, but most organizations are still structured around hardware.
Massive, Heterogeneous Vehicle Data
Connected fleets generate high-volume signals from many ECUs, model years and suppliers, each with its own formats. Ingesting, decoding and storing this data cost-effectively at scale is a major engineering challenge.
Late Detection of Quality Issues
Warranty claims, dealer repair notes, field data and production records sit in separate systems. Patterns that indicate an emerging defect are often recognized months later, after costs and recall exposure have grown.
Software, Cybersecurity and Compliance Obligations
UNECE R155 and R156 require certified cybersecurity and software update management systems for type approval in many markets. Manufacturers must monitor fleets for threats and maintain traceable records of software versions and updates.
New Data Access and Product Data Rules
The EU Data Act gives users and third parties rights to access data generated by connected products, and the EU Battery Regulation introduces digital battery passports for EV and industrial batteries. Both demand well-governed, shareable data.
Business Value
What Modern Data and AI Deliver for Automotive Companies
Earlier Defect Detection
Linking field, warranty, service and production data reveals emerging issues early. Engineering teams contain problems before they escalate into large campaigns.
Faster Engineering Feedback Loops
Real-world usage and diagnostic data informs design, calibration and software updates. Teams validate improvements with evidence from the fleet.
Better Battery Performance and Value
Battery health analytics improve warranty provisioning, charging strategies and second-life decisions. Passport data requirements are met as a by-product.
Profitable Connected Services
Usage-based insurance, predictive service, fleet services and feature subscriptions build on trusted vehicle data. New revenue streams emerge beyond the initial sale.
Efficient Plants and Supply Chains
Production, quality and supplier data support yield improvement and early warning of supply risks. Lines keep running despite component volatility.
Stronger Customer Relationships
Unified customer, vehicle and dealer data enables personalized service, retention offers and smoother omnichannel sales.
The Vehicle Is Now a Continuous Data Product
In the software-defined era, a vehicle keeps changing after it leaves the factory. Manufacturers that treat fleet data as a continuous feedback loop for engineering, quality, service and customer experience will out-learn competitors. We build that loop with the security and governance the industry demands.
Our Services
Our Automotive Solutions
Six solution areas spanning vehicle, factory, aftersales and customer.
Connected Vehicle Data Platforms
We build scalable ingestion, decoding and storage for telematics and diagnostic data, with signal catalogs, data minimization and consent controls.
- Vehicle data ingestion and decoding pipelines
- Signal catalog aligned with VSS
- Cost-optimized hot and cold storage
Warranty and Field Quality Analytics
We combine warranty claims, dealer repair text, field data and production records to detect emerging issues and quantify exposure.
- Early warning models for emerging defects
- Text analytics on repair narratives
- Quality and warranty cost dashboards
Battery and EV Analytics
We analyze battery cell, pack and charging data for state-of-health estimation, anomaly detection and warranty forecasting, and structure data for battery passports.
- State-of-health and degradation models
- Charging behavior analytics
- Battery passport data model
Manufacturing and Supply Chain Analytics
We connect plant, quality and supplier data for yield improvement, traceability and supply risk management across tiers.
- Production and quality traceability
- Supplier risk monitoring
- Part shortage early warning
Customer, Dealer and Aftersales Analytics
We build customer and vehicle 360 views, service retention models, parts demand forecasts and dealer performance analytics.
- Customer and vehicle 360 data model
- Service retention and churn models
- Parts demand forecasting
Software, Cybersecurity and Compliance Data
We support vehicle security operations with fleet monitoring data pipelines, software bill of materials tracking and evidence for cybersecurity and software update management.
- Fleet security monitoring data pipelines
- Software version and SBOM traceability
- Compliance evidence dashboards
Explore
Services for Automotive
- IoTConnected vehicle and plant data pipelines.Learn more
- Big DataProcess high-volume telematics data at scale.Learn more
- Machine LearningQuality, battery and demand models.Learn more
- Data GovernanceConsent, data sharing and access controls.Learn more
- SecurityCybersecurity for connected products and data.Learn more
- Application DevelopmentConnected services, dealer and customer apps.Learn more
Our Approach
How We Engage with Automotive Companies
An engineering-led approach that fits automotive development processes and compliance needs.
- 01
Domain and Data Discovery
We work with engineering, quality, aftersales and IT teams to map data sources, vehicle architectures, existing platforms and compliance obligations relevant to the initiative.
Deliverables: Data source and architecture map · Compliance and security requirements
- 02
Use Case and Value Prioritization
We quantify candidate use cases, such as warranty cost reduction or new connected services, and choose a first release with measurable targets.
Deliverables: Prioritized backlog · Business case and KPIs
- 03
Scalable Data Foundation
We build ingestion, data models and governance for the selected data domains, designed for fleet-scale volumes and cost control.
Deliverables: Data pipelines and catalog · Governance and consent controls
- 04
Analytics and AI Delivery
We develop models and applications in sprints with demos for engineering and business users, validating results against known historical events.
Deliverables: Validated models and dashboards · Documentation and test evidence
- 05
Industrialization and Continuous Improvement
We harden solutions for production, integrate them with engineering and service workflows and monitor performance, cost and data quality.
Deliverables: Production deployment · Monitoring and optimization plan
Use Cases
Automotive Use Cases
Concrete scenarios for OEMs, suppliers, dealers and mobility providers.
Emerging Defect Early Warning
Warranty claims and repair narratives are clustered weekly and compared against production batches and supplier lots. Quality engineers see an unusual pattern in a component months before it would appear in monthly reports.
Battery State-of-Health Estimation
Charging and usage data from an EV fleet feeds models that estimate remaining battery capacity. The manufacturer refines warranty reserves and offers certified health reports for used vehicles.
Predictive Service Scheduling
Diagnostic trouble codes and usage patterns predict when a vehicle will need service. Owners receive a proactive booking offer, and dealers plan workshop capacity and parts.
Over-the-Air Update Monitoring
After a software release, telemetry from updated vehicles is compared with a control group. Engineering teams spot regressions quickly and pause rollouts if needed.
Fleet Telematics for Commercial Customers
Fleet operators receive dashboards on utilization, fuel or energy use, driver behavior and maintenance needs. The OEM gains a subscription service and deeper customer relationships.
Parts Demand Forecasting
Vehicle population, failure rates and seasonality drive forecasts for spare parts at each warehouse. Availability improves while slow-moving inventory falls.
Technology
Platforms and Standards We Work With in Automotive
We work with industry data standards and cloud platforms suited to fleet-scale data.
- COVESA VSS
- ISO/SAE 21434
- UNECE R155 and R156
- AUTOSAR data integration
- ASAM MDF
- MQTT
- Apache Kafka
- AWS IoT FleetWise
- Azure
- Google Cloud
- Databricks
- Snowflake
- Apache Spark
- Power BI
- Grafana
- Kubernetes
Platforms
Deliver Automotive on Your Preferred Platform
- AWSBuild, migrate and run data and AI workloads on Amazon Web Services.Explore
- Microsoft AzureModernize data, analytics and AI within your Azure tenant.Explore
- Google CloudBigQuery, Looker and Vertex AI for data-driven organizations.Explore
- DatabricksUnified lakehouse for data engineering, analytics and AI.Explore
- SnowflakeElastic cloud data platform for analytics and data sharing.Explore
Why Hanoi Technology
Why Organizations Choose Hanoi Technology
Senior, Cross-Functional Teams
Strategy, data, AI, cloud and engineering specialists work as one team, so nothing is lost between hand-offs.
Proven Delivery
More than 50 projects delivered for clients in North America, Europe and Asia-Pacific.
Radical Transparency
A written update every week and a demo of working software every sprint, so you always know where things stand.
Cost-Effective Global Delivery
Experienced engineers from our Hanoi delivery hub, with working-hour overlap for every major time zone.
Success Story · Logistics
Route optimization and fleet visibility for a regional logistics company
A regional delivery company handling thousands of shipments a day was planning routes and dispatching by hand. We built dynamic route optimization, a fleet dashboard and a driver app.
Read the Full StoryMore Success Stories
Fintech
+162%monthly active usersAll-in-one digital banking app for a traditional bank
A traditional financial institution wanted to compete with neobanks for mobile-first customers. We replaced a set of separate banking, investing and payment apps with one product that people use every day.
Resources
Featured Resources
Industry trends and practical guidance to help you get more value from data, AI and technology.
FSMA 204 After the Delay: Using Shipment Monitoring to Get Traceability-Ready by 2028
The FDA Food Traceability Rule deadline moved to July 2028, but the data work is large. Here is how to use shipment monitoring and event data to get ready without wasting the extra time.
CSRD After the Omnibus: What the Revised ESRS Mean for Reporting From 2027
The Omnibus and the simplified ESRS reshaped EU sustainability reporting in 2026. Here is who is in scope, what changed in the standards and how to adapt your data and process.
OpenTelemetry in 2026: Building a Vendor-Neutral Observability Strategy
OpenTelemetry has become the default way to collect telemetry. Here is what changed in 2026 and a practical roadmap for a vendor-neutral observability stack.
Turn Vehicle and Quality Data into Competitive Advantage
Book a free consultation to discuss connected vehicle, quality, battery or aftersales priorities with our automotive team. We reply to every enquiry within 24 hours.
Automotive FAQ
Can your platforms handle fleet-scale connected vehicle data?
Yes. We design pipelines with streaming ingestion, efficient decoding of CAN and diagnostic signals, partitioned storage and tiering between hot and cold data, so costs stay proportional to value. We also apply data minimization: only signals needed for defined use cases are collected at high frequency. Architecture choices are validated with load tests that reflect your expected fleet size and growth.
How do you handle privacy and consent for vehicle data?
Vehicle data often reveals location and behavior, so it is treated as personal data under laws such as GDPR. We implement consent and purpose management, pseudonymization, role-based access and retention rules, and we separate data used for safety and engineering from data used for marketing. We also help you design data sharing mechanisms that support user and third-party access rights under the EU Data Act.
Do you help with UNECE R155 and R156 compliance?
We support the data and software side of compliance: pipelines for fleet security monitoring, software version and bill of materials traceability, and evidence dashboards for your cybersecurity and software update management systems. Formal certification and type approval remain with your organization and the approval authorities. Our work makes the required evidence easier to produce and maintain throughout the vehicle lifecycle.
How do you support battery passport requirements?
The EU Battery Regulation requires a digital battery passport for EV and larger industrial batteries placed on the EU market, with information on composition, carbon footprint, supply chain due diligence and, for some data, state of health. We help identify required data, map it to your engineering, production and supplier systems and build data models and pipelines to provide it. Battery health analytics from fleet data can feed the dynamic parts of the passport.
Do you work with tier suppliers as well as OEMs?
Yes. Suppliers face many of the same challenges: production quality, traceability, warranty recovery from OEMs and increasingly software and data obligations. We help suppliers build quality and traceability platforms, analyze field returns and share data with customers in the formats they require.
How do you engage with automotive companies?
We typically start with a discovery or proof of value on a focused use case, then scale through a dedicated team that works within your development processes and tools. We are comfortable with automotive quality and documentation expectations and provide weekly written progress updates and sprint demos. Managed services are available for operating data platforms and models after go-live.