Automotive
Custom automotive softwaredevelopment and AI services.
Building a new automotive platform, or replacing systems your dealers and technicians work around?
Corpvance builds dealer and service platforms, fleet management tools, customer apps, and AI for diagnostic support, parts search, and predictive maintenance. We integrate with DMS platforms, telematics feeds, parts catalogs, and manufacturer systems so vehicle, service, and customer data stays consistent.
A small senior team. You work directly with the engineers building your product.
- 01
- DMS integrations
- 02
- Telematics and vehicle data
- 03
- Predictive maintenance
- 04
- Parts and catalog search
- 05
- Cloud migration
Market Context
Vehicles generate data faster than operations can use it
Telematics, diagnostics, and service history are already captured. The difficulty is getting them in front of the people scheduling work and speaking to customers.
- Uptime
- Predictive maintenance and routing are the highest-ROI fleet AI pairings
- Telematics ready
- Modern fleets already generate the sensor streams AI needs - the gap is decisioning
- Service speed
- Dealer and service ops gain when diagnosis and parts lookup share one assistant
Industry practice
Industry practice
Industry practice
These are engineering problems. Telematics feeds nobody reads, service history split across systems, and parts lookups that depend on one person's memory. All of them are fixable in software.
Who we build automotive software for
Requirements change depending on who owns the workflow. These are the organizations Corpvance works with, and what they usually need built.
Dealer groups
Multi-site dealers where sales, service, and parts run on a DMS that was never designed for the interfaces staff need around it.
Dealer portals · Service scheduling · Integrations
- Dealer portals
- Service scheduling
- Integrations
Fleet operators
Businesses running vehicles at scale, where utilisation, downtime, and maintenance cost decide margin.
Fleet dashboards · Maintenance planning · Telematics
- Fleet dashboards
- Maintenance planning
- Telematics
Service and repair networks
Workshops where job cards, inspections, and customer updates still move on paper and phone calls.
Technician tools · Inspection apps · Customer updates
- Technician tools
- Inspection apps
- Customer updates
Parts distributors and suppliers
Businesses managing large catalogs and fitment data, where finding the right part is harder than shipping it.
Catalog search · B2B ordering · Inventory
- Catalog search
- B2B ordering
- Inventory
Mobility and automotive tech companies
Product companies where the software is the business and engineering capacity sets the roadmap.
Product build · Vehicle data pipelines · AI features
- Product build
- Vehicle data pipelines
- AI features
Not sure which of these fits your organization? A short scoping call is usually enough to tell whether the work is a new build, an integration, or a modernization.
What Corpvance builds for automotive
We can build a new automotive platform from the ground up, extend the systems you already run, or replace the manual work sitting between them.
Dealer, workshop, and customer products built around how your operation actually runs.
- Dealer and sales portals
- Service scheduling systems
- Technician job workflows
- Fleet management dashboards
- Customer mobile apps
- Parts ordering interfaces
- Inspection and checklist tools
- Internal admin platforms
AI applied to the diagnostics, lookup, and planning work that currently depends on experience.
- Predictive maintenance
- Diagnostic support
- Parts and fitment search
- Dispatch and routing support
- Service demand forecasting
- Damage assessment support
- Technician knowledge retrieval
- AI features inside existing products
Connections between your dealer systems, vehicles, catalogs, and manufacturer platforms.
- DMS integrations
- Telematics and GPS feeds
- OBD and diagnostic data
- Parts catalog systems
- Manufacturer and OEM interfaces
- CRM connections
- Data warehouses and ETL
- Reporting pipelines
Improving automotive software that works but is slow, manual, or hard to extend across sites.
- Interface and UX redesign
- Cloud migration
- Performance and scalability
- Mobile and workshop-floor support
- Replacing paper job cards
- Access control retrofits
- Incremental platform replacement
- Modern application architecture
How an automotive project runs
The hard parts are integration across dealer systems and vehicle data quality, so we settle those before the build scales.
- 01
Scope
We map the workflow, the systems it touches, and who needs access to what. You get a written scope and an architecture direction.
- 02
Integration check
We confirm what your DMS, telematics providers, and parts catalogs actually expose before feature work starts.
- 03
Design
Interface and data model decisions, reviewed with the service advisors, technicians, and operations staff who will use them daily.
- 04
Build
Short delivery cycles with a working environment you can log into and test at any point.
- 05
Launch and support
Security review, testing, and deployment, then continued development or a full handover to your team.
Rollouts are staged site by site rather than switched on across the whole network at once, so an issue at one location never stops the others.
Build something new, or modernize what you already run
Automotive engagements start in one of two places, and Corpvance delivers both. Many projects turn out to be a mix.
Build from scratch
For a new customer experience, a new service line, or a workflow with no system behind it today. We handle product design through to production.
- New customer and dealer portals
- Fleet management platforms
- Technician and inspection apps
- Vehicle data pipelines
- Greenfield architecture
- Rollout and scaling support
Modernize and automate
For systems that work but rely on paper, phone calls, and manual re-keying. We improve them in stages so sites keep trading.
- Interface and UX redesign
- Cloud migration
- DMS and telematics integrations
- Replacing paper job cards
- Adding AI to existing products
- Performance and access control
Most engagements combine both: a new customer-facing product on one side, and integration with the dealer and vehicle systems behind it on the other.
Frequently asked questions
Practical answers about scoping, compliance, integration, and how we measure success.
01Can Corpvance build an automotive platform from scratch?
Yes. That covers product design, software development, AI development, backend systems, integrations, cloud infrastructure, testing, and deployment. We also handle the parts teams tend to underestimate, including role-based access, offline behaviour in workshops with poor connectivity, and the operational tooling needed to run the product once it is live.
02Can you modernize our existing automotive software?
Yes, and it rarely needs to happen all at once. We can rebuild specific workflows, redesign the interface, improve performance, migrate infrastructure, or replace the platform in stages. Incremental modernization is usually the right call, because a dealership or workshop cannot stop booking work while a system is replaced.
03Can you integrate with our DMS, telematics, and parts catalogs?
Yes, working with what each system exposes. We build integrations through DMS APIs, telematics and GPS feeds, OBD and diagnostic data, parts catalog systems, manufacturer interfaces, and approved data exports. The aim is for new interfaces and AI to work against your existing source of truth rather than a parallel copy of it.
04Can you add AI to an existing automotive product?
Yes. Common additions are predictive maintenance, diagnostic support, parts and fitment search, service demand forecasting, and damage assessment support. We build these against your existing systems rather than standing up a separate data stack alongside them.
05Can you build software for workshop and forecourt use?
Yes. Workshop software has different constraints from office software: gloves, glare, dirty hands, and patchy connectivity. We design for tablets and fixed terminals with large touch targets, offline tolerance, and workflows that survive an interrupted job.
06Can you work with telematics data from mixed fleets?
Usually yes. Mixed fleets mean several telematics providers with different formats and refresh rates, so we normalise them into one model rather than building against a single vendor. Where a provider exposes little, we say so during scoping rather than promising accuracy the data cannot support.
07Who owns the code and the intellectual property?
You do. Ownership of the source code and associated intellectual property transfers to you, along with repositories, infrastructure configuration, and documentation. We do not retain licensing rights over what we build for you, and we do not resell client work as a product.
08Can you work alongside our existing engineering team?
Yes. We can own a workstream end to end, extend an in-house team on specific parts of the build, or take responsibility for a subsystem such as the integration layer or the vehicle data pipeline. Where an internal team already owns the platform, we work inside your repositories, review process, and deployment pipeline.
09What happens after launch?
You choose. Some clients keep us on a support agreement covering maintenance, monitoring, security updates, and continued development. Others take the system in-house, in which case we run a structured handover with documentation, architecture walkthroughs, and a support window while your team gets comfortable.
10How do we start?
A short call to understand the workflow, the systems involved, and what is driving the project. From there we move into a discovery engagement that produces a written scope, an architecture direction, and a clear plan for the build.
Capabilities that make industry software production-ready.
Successful software implementation needs data pipelines, application interfaces, and cloud operations around the product.
Artificial Intelligence
Production AI systems with retrieval, agents, evaluation, and human review loops.
Explore Artificial Intelligence→Data & Analytics
Pipelines, warehouses, and validated datasets that make industry AI reliable.
Explore Data & Analytics→Software Engineering
Portals, APIs, and operational interfaces that put AI into daily workflows.
Explore Software Engineering→Explore other industries
Corpvance applies custom technology where workflows are repetitive, data is available, and outcomes can be measured.
