Software that works with your DMS,
not around it.

Yes, and it's worth knowing upfront that both are guarded, commercial integrations — you typically need a data-access agreement with the vendor, and access is not free or automatic even when you own the dealership. Reynolds in particular runs a certification process for third-party integrators that adds real time to a project timeline, and part of a DMS integration audit is figuring out exactly what that agreement costs, what it covers, and how long certification will realistically take before we scope the build around it.

Dealertrack and smaller regional DMS platforms vary in how open their APIs are, and the honest scoping conversation happens before any code gets written, not after. We'd rather spend a week reading your actual data-access agreement than build against an assumption about what it allows and find out otherwise at integration testing.

At the point where a vendor platform stops matching how you actually operate. Reconciling inventory and customer data across multiple DMS instances, building something that has no off-the-shelf equivalent such as a telematics or fleet product, or automating a workflow that is costing staff real hours every week — those are the cases where a build returns more than it costs.

Below that line, established dealer platforms are genuinely good value: the vendor has amortized the cost of those features across thousands of rooftops. We scope against that honestly, so what you get quoted is the work that actually earns its place rather than a rebuild of software you already own.

By sizing the infrastructure to your actual event volume before designing any feature on top of it. A fleet of a few thousand vehicles reporting every thirty seconds produces tens of millions of events daily, which points toward purpose-built time-series storage — something like TimescaleDB or InfluxDB — rather than a general-purpose relational database that will fall over under real load once the fleet grows past a pilot.

We also separate what needs to be real-time — safety alerts, maintenance flags — from what doesn't, like monthly usage summaries, because building everything as real-time doubles infrastructure cost for signals nobody is watching that closely. That separation is a design decision made in week one, not something you can bolt on after the pipeline is already running.

Both. Manufacturer and supplier-side work — production scheduling integration, warranty claim processing, parts logistics — tends to involve older, less documented systems than dealer-facing software, and the engineering approach has to account for that from the start: more defensive error handling, more tolerance for stale or delayed data, and integration testing against real production data rather than a clean sandbox.

Those systems rarely have a mature off-the-shelf alternative because they're proprietary to a specific part of the supply chain, which is exactly the kind of problem where custom development earns its cost. If a vendor already sold a good solution for your specific OEM relationship, we'd tell you to buy it instead.

It happens, on their schedule, and it's the single most common cause of automotive software breaking in production without warning. The engineering answer is monitoring that catches the change fast and an integration layer built to isolate the rest of your system from it, rather than scattering DMS-specific logic through the whole codebase where a single upstream change can break a dozen unrelated features at once.

Ongoing integration maintenance, bought as a monthly retainer sized to your rooftop count, exists specifically for this. It's less exciting than building new features, but it's the work that keeps a working system working, and skipping it is how a platform that worked fine at launch quietly breaks eight months later.