Custom software for automotive dealerships, fleet operators, vehicle marketplaces, and mobility businesses who need operational systems built for how automotive businesses actually work.
Dealer management systems with inventory, CRM, and service workflows in one system
Fleet management with real-time telematics, maintenance scheduling, and driver management
Vehicle marketplaces and listing platforms with VIN data, specifications, and condition reporting
Automotive AI for pricing optimisation, demand forecasting, and predictive maintenance
What you can count on
Retention
3+ years
Average client relationship across active accounts
First milestone
Week 1
A straight read on what to keep and what to rebuild
Pricing
Fixed price
Scope and cost agreed before work starts
Team
No handoffs
The senior engineers who scope the build also ship it
The problem
Managing vehicle inventory, service history, and customer data across multiple systems that don't talk to each other?
Fleet tracking and maintenance scheduling done manually because your current tools weren't built for your vehicle mix and operation size?
Short answer
RaftLabs builds custom automotive software for dealerships, fleet operators, vehicle marketplaces, and mobility companies: dealer management systems, fleet telematics, marketplace platforms, workshop management, and automotive AI. A first module launches as a validated v1 in about 10 to 16 weeks, starting near $25K to $45K, then grows into a full platform. Every system is VIN-native, not a generic template adapted after the fact.
A VIN ties together spec data, service history, condition grades, warranty terms, and telematics streams. Inventory arrives from manufacturer portals, auction feeds, and classified platforms, each in its own format. Generic business tools were never designed for this. We treat that complexity as a first-class design requirement, not something to bolt on later.
Vehicle inventory scattered across manufacturer feeds, classified listings, and dealer systems
Automotive inventory data arrives from manufacturer portals, auction feeds, classified platforms, and DMS exports. Each source uses a different format with a different update frequency. Staff spend hours reconciling stock across systems instead of selling. That time cost compounds across every sales day. We build a unified inventory data layer that ingests all feeds, normalises by VIN, and keeps one accurate record across every channel.
Fleet telematics data collected but never connected to maintenance scheduling
Telematics units broadcast OBD-II fault codes, mileage, and engine hours continuously. Most fleets store this data but don't connect it to the maintenance calendar. Vehicles go in for service on a fixed schedule regardless of actual condition, or miss service because nobody watched the counter. Unplanned breakdowns cost more than the service that would have prevented them. We connect telematics signals directly to maintenance triggers so the system schedules work based on what the vehicle is telling you, not what the calendar says.
Dealer management system too generic for VIN-based data requirements
Generic CRM and ERP platforms weren't built around a VIN as the central identifier. Spec lookup, history queries, and F&I workflows all need VIN-native data structures. Generic platforms bolt these on as an afterthought, creating friction at every step of the sales and service workflow. That friction slows deals and frustrates staff.The same friction shows up in warranty processing. When service history, part records, and warranty terms live in three disconnected systems, every claim becomes a manual lookup. Slow claims tie up cash the dealer has already spent on parts and labour. Link all three to the VIN and the same claim clears in a fraction of the time.We build DMS modules with VIN at the core, linked to specification databases, service history, condition reports, and warranty records from day one.
Vehicle marketplace search not meeting buyer expectations set by large platforms
Buyers arrive from AutoTrader and Cars.com with expectations around faceted filtering, spec comparison, and dealer proximity search. Smaller marketplaces built on basic listing platforms can't match this. Poor search means buyers leave before they find the right car, and listings go stale. We build marketplace search and filtering that handles make, model, year, trim, mileage, location radius, and price range. VIN-linked spec data means filters return accurate results rather than whatever the dealer typed.
Integrated dealer management covering inventory (new, used, fleet), CRM for sales pipeline, F&I workflow, service department management, and parts inventory. VIN-based vehicle records carry full history, specification data, and condition reporting. Multi-location support for dealer groups. Integration with Experian AutoCheck, Carfax, Cox Automotive, and manufacturer systems. One operational backbone for the whole dealership.
Fleet management for commercial fleets, rental companies, and corporate vehicle programmes. Real-time GPS tracking, telematics data (fuel, engine diagnostics, driver behaviour), maintenance scheduling by mileage and time, driver assignment, and utilisation reporting. Integration with telematics hardware providers. Automated maintenance alerts and service scheduling. Cost-per-vehicle and cost-per-mile analytics so you can see where money is going.
Online vehicle marketplaces with inventory aggregation from multiple dealer feeds, VIN-based specification population, condition report integration, and search by make, model, year, price, location, and specification. Lead capture and CRM integration. Dealer portals for inventory and lead management. Consumer-facing search and comparison tools. Private seller listings. Pricing recommendations based on market data. Built for how buyers and sellers actually work in automotive.
Service department and workshop management: job card creation, technician assignment, parts ordering and allocation, labour time tracking, customer communication (estimates, approvals, completion notifications), and invoice generation. Vehicle history recorded at every service visit. Warranty claim management. Multi-bay scheduling for workshop utilisation. Customer-facing service booking and status tracking. Integration with parts supplier catalogues for real-time pricing and availability.
Mobility applications: car-sharing platforms, ride-hailing apps, vehicle subscription services, and chauffeur dispatch systems. Real-time vehicle availability, booking management, driver assignment, and payment processing. Customer-facing mobile apps for booking, access, and support. Vehicle access control integration for keyless entry. Utilisation analytics for fleet optimisation.
Automotive AI features built on your operational data. Dynamic pricing that adjusts vehicle prices on demand, seasonality, days-on-lot, and market data. Predictive maintenance that flags likely failures from telematics before breakdown. Demand forecasting for inventory planning. Personalised recommendations for marketplace users. Computer vision that grades vehicle condition from photos. No separate analytics infrastructure required.
The vehicle is becoming a software platform. McKinsey projects the automotive software and electronics market will grow faster than the rest of the car this decade, and that shift reaches every business that touches a vehicle.
Three changes already reshape the systems we build:
We build for that direction today. VIN-native data models, telematics pipelines, and an architecture that treats connected-vehicle data as a first-class input, not a later integration.
Automotive software development is the creation of custom software for automotive industry operations: dealerships, fleet operators, mobility companies, vehicle marketplaces, and manufacturers' digital channels. The automotive industry has specific data requirements (VIN management, vehicle specifications, service history, telematics) and operational workflows (dealer inventory management, F&I, workshop scheduling) that generic business software wasn't designed to handle well. Custom automotive software is justified when your operational workflows or data requirements are specific enough that generic platforms create more friction than they remove.
Yes. We've built integrations across the automotive data stack. Vehicle history providers (Experian AutoCheck, Carfax). Specification databases (Chrome Data, VIN Solutions, Motor Information Systems). Market pricing (Black Book, Manheim Market Report, JD Power). Telematics providers (Samsara, Verizon Connect, Geotab). Manufacturer dealer systems. The approach depends on what each provider exposes: most have documented APIs, some need file-based exchange.
Yes. Telematics software collects data from vehicles via OBD-II devices, factory-installed units, or dedicated hardware. We build the ingestion pipeline that handles the volume and frequency. Storage is optimised for time-series vehicle data. On top of that: analytics for fleet performance and driver behaviour, alerting for maintenance thresholds, and dashboards and mobile apps for fleet managers and drivers. Telematics volume is significant, so the data architecture matters as much as the application.
A focused first module, such as a dealer inventory module, a fleet-tracking dashboard, or a vehicle-listing MVP, launches as a validated v1 in about 10 to 16 weeks, usually near $25k to $45k. A full dealer management system or a telematics platform grows from there to roughly $80k to $150k over time. We scope it during discovery and give you a fixed cost and schedule before development starts.
The VIN is the central entity in any automotive data model. Every vehicle record, service history entry, telematics reading, and transaction links back to it. The schema needs to handle multi-source inventory feeds (manufacturer, auction, classified), specification data population from automotive databases, and telematics time-series data separately from transactional records. Getting this architecture right at the start prevents the performance and consistency problems that come from bolting VIN-native requirements onto a generic database schema later.
Business Process Automation
Automate vehicle intake workflows, service scheduling, parts ordering, and warranty claim processing.
AI Document Intelligence
Extract structured data from vehicle inspection reports, service records, and dealer compliance documents.
AI Agent Development
Autonomous agents for predictive maintenance scheduling, dynamic pricing, and customer service automation.
Custom Software Development
Custom dealer management systems, fleet management platforms, and automotive marketplaces built for your operations.
Tell us the operational challenge, inventory, fleet, marketplace, or service management. We'll scope the right build.
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