We build dashboards, data integration, and custom software for automotive retail. One set of definitions across every rooftop, reconciled to the financial statement, in front of the people making the decision.
Single stores through multi-brand acquisition platforms
Every figure ties to the statement before anyone sees it
Developed in house for your accounts and your pay plans
One dashboard that replaces the month-end spreadsheet pack
→Consolidation across stores on one chart of accounts
→Deal pipeline, earnings bridge, and group roll-up modeling
→Penetration, per-copy gross, lender spread, and reinsurance
→Absorption, effective labor rate, and technician productivity
→Aging by source, landed cost, and where recon days are lost
→Every engagement starts with how your store actually runs — your accounts, your pay plans, your DMS. We design and build systems that answer the questions your current reporting cannot.
A role-gated web dashboard covering the whole store or group: consolidated P&L, variable and fixed operations, scenario modeling, and generated reporting. Owners see everything; lenders and capital partners see a curated subset. Learn more →
Product penetration, per-copy gross, lender spread and reinsurance on the variable side. Absorption, effective labor rate, technician and advisor productivity, parts and warranty on the fixed side — per store, per person. Learn more →
Extracts from CDK, Reynolds, Dealertrack, Tekion, VinSolutions and the rest; account structures normalized across rooftops; everything reconciled to the financial statement in a warehouse you own. Learn more →
True days in inventory, landed cost with reconditioning charged back to the buyer who sourced the unit, staged recon cycle time, merchandising readiness, and a wholesale post-mortem that informs buying. Learn more →
Documents rendered from live data, ESIGN-compliant signature and countersignature, PDF form fill, approval routing, deal jacket completeness, and month-end packages generated on a schedule. Learn more →
For groups that buy stores: deal pipeline, target evaluation against your own definitions, a quality-of-earnings bridge that itemizes every add-back, working capital at close, and group roll-up modeling. Learn more →
These represent typical project scopes. Each engagement is scoped to the store or group's specific operation and data sources.
Multi-rooftop consolidation on one chart of accounts: store and department performance, capital and covenants, scenario modeling, acquisition pipeline, and role-gated access for lenders and capital partners.
Typical Timeline: 16-20 weeks View This Solution →Service and parts instrumented daily: absorption, effective labor rate by pay type, technician and advisor productivity, throughput and capacity, parts fill rate, warranty aging, and service retention by cohort.
Typical Timeline: 8-10 weeks View This Solution →Unit-level inventory reporting: true days in inventory, landed cost by acquisition source, staged reconditioning cycle time, merchandising readiness, and a daily action list with a named owner.
Typical Timeline: 6-8 weeks View This Solution →Nightly extracts from DMS, CRM, inventory and lender systems, account structures mapped to common definitions across rooftops, and reconciliation to the statement before anything is published.
Typical Timeline: 6-12 weeks See the Service →Dealerships run on a stack that was never designed to talk to itself: a DMS, a CRM, a desking tool, an inventory feed, a reinsurance statement, and a folder of month-end spreadsheets. The numbers exist. They arrive late, they disagree across rooftops, and someone rebuilds them by hand every period.
We build the layer that closes that gap — and we build it around your operation rather than configuring you into a product. The modules below are what we have built and what we build from. Which of them you get, and how they are wired to your data, is settled during assessment.
Explore the Platform
Revenue and gross by department, store-by-store comparison, and what is off benchmark
Volume, gross per unit, aging and turn, penetration and per-copy gross by manager
Absorption, effective labor rate, technician proficiency, and parts obsolescence
Floorplan, contracts in transit, the cash conversion cycle, and covenant tests
Move a lever and the model re-runs — range checked, never silently clamped
An earnings bridge that separates performance from what an add-back claims
Templates from live data, ESIGN disclosure, and durable executed copies
Every line carries its definition and benchmark; the build fails without them
Store-to-store comparison only means something when both stores mean the same thing by the same word. Each line below carries a written definition and the benchmark it is measured against.
Volume, gross per unit, mix, incentives, and floorplan
Aging, turn, landed cost, recon cycle, and wholesale
Penetration, per-copy gross, lender spread, and reinsurance
Absorption, effective labor rate, and technician productivity
Fill rate, days supply, obsolescence, and gross by source
Cycle time, DRP performance, and gross by job type
Statement reconciliation, expense-to-gross, and month-end
Lead source cost, appointment and show rate, and cost per sale
We start with how your store actually runs — your accounts, your pay plans, your DMS — not with a technology stack looking for a problem.
No six-month discovery phases. The first release that people actually use is typically live in weeks, not at the end of the project.
We do not hand off implementation to a third party. We design and build the systems ourselves, which means fewer gaps between what was promised and what gets delivered.
Every figure ties to the financial statement first. A dashboard that does not reconcile is a demo, and a general manager will be back in the spreadsheet within a month.
"We are a consulting and development firm, not a dealer software vendor. We do not have a product to make you fit."
Dealer software is a crowded market, and much of it is good at the thing it was built for. What it does not handle is the twenty percent specific to your group: your pay plans, your account structure, your reinsurance arrangement, and the report your lender wants in the format your lender wants it.
We sit with the statement, the DMS, and the people who produce today's reports. Which numbers are trusted, which are rebuilt by hand, and which nobody can reproduce.
Every metric gets one written definition and one benchmark. This is the step most projects skip, and it is why most dealer dashboards end up disputed rather than used.
Extracts, reconciliation, then dashboards — shipped in iterative releases. The first release has one job: match the numbers you already trust.
Nightly loads, monitoring, and the review cadence the reporting feeds. A scorecard with no meeting attached stops being read within a month.
A dashboard is worth what its worst number is worth. These are the outcomes we design for, and the limits we state plainly.
The reporting package, the DOC report, and the recurring lender and OEM submissions generated from reconciled data instead of rebuilt by hand.
Gross, inventory age, and absorption available the morning after, so a bad week is visible in the week it happens rather than three weeks later.
One chart of accounts and one set of definitions across every store, so an outlier is a question about the store rather than about the mapping.
Break an average down far enough that it points at something a manager can change. The expensive answer is frequently the wrong one.
A what-if is a lever move and a model re-run rather than two days of spreadsheet work after the fact.
Where a figure cannot be produced reliably, the system reports the limit instead of estimating. One quiet guess costs more credibility than a dozen honest blanks.
Send us a recent financial statement and a description of how your reporting works today. We will tell you what can be automated and what it takes.
K Auto Tech LLC is a technical consulting and software development firm working with dealerships and dealer groups. We design and build the dashboards, data integration, and internal tools that turn what a store already records into something its managers can act on.
We combine software engineering, systems architecture, and operational consulting into a single delivery model. We do not separate "strategy" from "implementation" — the same people who sit with your statement and your DMS are the ones who build and deploy the system.
We are not trying to be all things to all people. We work in automotive retail, on a specific kind of problem: the gap between the data a dealership already produces and the decisions its people are trying to make with it.
In-house development. No outsourced builds.
Integrated with the platforms dealers actually run
Assessment through deployment and support
Reconciled to the statement before anything ships
Whether you have a defined scope or a reporting problem you have been working around for years, we are ready to talk.
We typically respond within one business day.
Project-based engagements, ongoing support arrangements, and phased builds. Most clients start with one dashboard or one data source and expand from there.
