The same customer, keyed five times
One buyer exists in the DMS, the CRM, service, parts, and F&I — with five versions of the relationship.
Use case · Automotive
One customer. Five systems. One number you can trust.
A salesperson opens a deal today. Scroll, and follow that customer from the showroom floor, through the five systems that hold your group today, to the dealer report and the gross number — and watch what changes when it's only captured once.
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Why automotive
A dealer group doesn’t have a data shortage. It has a distance problem.
Every deal, vehicle, and service visit is data. The gap is the distance between the desk where a number is born and the report the dealer principal steers by.
Reporting runs a month behind
Dealer reports are assembled by hand. By the time gross is compiled, the month is already closed.
Gross leakage found too late
Department profitability is pieced together on request — too late to fix pricing or mix.
Deal know-how in a few heads
Deal-desk practice, service precedent, and customer history belong to senior staff — and leave with them.
The journey
Seven steps. One number.
The health of the group lives in deals, service, and gross — born at the desk, steered by in the boardroom. The seven steps below walk one customer along that route, each removing a place where the number breaks today. Follow the line.
Data FoundationBusiness IntelligenceAI & Automation
DMSSales CRMService / repair ordersParts inventoryF&I
Where the customer is scattered today
One central platformMicrosoft Fabric
This is where the number's journey changes. Instead of being re-keyed into the DMS, the CRM, and service separately, it lands once — here — and flows everywhere it's needed. Five versions of the customer become one.
Step 01 · Data Capture & Quality
01The number is born
A salesperson opens a deal. Today the customer and vehicle data starts in pads and forms keyed differently by every advisor and gets patched by the back office later — whether anyone ever trusts it is decided right here, at the desk.
Our approach
We help define what each customer, vehicle, and deal record must carry — VIN, contact, consent, terms — and enforce quality at entry, so the record is right at the source.
Who feels it
SalesOne clean entry at the deal — no back-office re-keying.
Back officeDeal data built on real terms, captured at source.
MarketingFewer unreachable, un-consented, or duplicate customers.
The payoff — Customer and vehicle data is complete from day one — remediation shrinks, and every gross and CSI number gets cleaner.
Step 02 · System Integration
02It stops being re-keyed
That customer used to exist five times — in the DMS, the CRM, service, parts, and F&I — each as a separate record.
Our approach
We help map how customer and vehicle data should flow and build a single customer master — so a buyer who services next month is one record across sales and service on their own.
Who feels it
AdvisorsThe full customer and vehicle history in one place.
ServiceOne vehicle record — sales, service, and parts together.
ITGoverned integrations on one platform, not point-to-point exports.
The payoff — The customer becomes one relationship instead of five records — and the group can see sales and service as one business.
Step 03 · Business Intelligence Roadmap
03It reaches the report by itself
Dealer reports are still assembled by hand each month — so gross-leakage questions take days, long after the month has closed.
Our approach
We help automate the reports you already produce and stand up self-serve profitability views — refreshed on demand, while the month can still be saved.
Who feels it
Dealer principalGross and absorption visible on demand, not once a month.
ControllersThe export week disappears; the work becomes analysis.
ManagersDepartment performance monitored live, same definitions everywhere.
The payoff — Answers to “where are we leaking?” arrive in minutes instead of days — while there’s still month left to act on them.
Step 04 · Data as a Product
04Everyone agrees what it means
“Gross per unit” is calculated one way by sales and another by finance — and “retained customer” means something different to service and CRM.
Our approach
We help the group settle on one definition per number and publish each KPI with an owner and a source — findable by anyone, from the showroom to the boardroom.
Who feels it
New hiresRamp on the numbers in days, not months.
ControllersFewer “can you pull this for me” requests.
LeadershipOne agreed definition per number, across sales and finance.
The payoff — Self-service that’s actually self-serve — the KPI library becomes the shared language across every rooftop.
Step 05 · AI & Automation Governance
05It stays safe around AI
Teams are already pasting customer details into AI tools to draft follow-ups — customer PII and credit data need guardrails before that spreads, and lending rules will ask.
Our approach
We help classify data by sensitivity and set up a governed AI environment — a follow-up assistant can read service history while credit data stays ring-fenced, with every use logged.
Who feels it
Dealer principalAI adoption with a defensible privacy and lending story.
ComplianceCustomer and credit data ring-fenced from AI tooling.
EveryoneA clear answer to “can I use AI for this?”
The payoff — AI gets adopted broadly and safely — on governed data, with a trail that stands up to a privacy or lending review.
Step 06 · Data Culture & Engagement
06The floor shapes what’s built next
Salespeople and service advisors know exactly what’s broken about the data they work with — but workarounds and side notes multiply instead of fixes.
Our approach
We help put a visible request channel in place, from idea to shipped — so the people closest to the customer keep shaping how the data is captured and used.
Who feels it
AdvisorsTheir input visibly shapes the tools — so they keep giving it.
LeadershipPain points surface early, with context, instead of festering.
The groupAdoption compounds — each shipped request builds trust in the next.
The payoff — The group keeps getting more data-driven after the engagement ends — improvement becomes routine, and visible.
Step 07 · Centralized Knowledge Base
07It becomes know-how
Deal-desk practice, service procedures, and customer history live in a few senior people’s heads — and walk out the door with each departure.
Our approach
We help stand up a central knowledge base with AI-assisted capture — so a departing F&I manager’s deal practice informs the next borderline deal, not a departure loss.
Who feels it
AdvisorsDeal and service practice at hand for every customer.
New staffOnboarding from a knowledge base, not from shadowing alone.
AI toolsThe context they need to be accurate about your group.
The payoff — Onboarding and AI both get faster and more accurate — deal and service judgment stops walking out the door.
The same number, everywhereShowroom to boardroom
Dealer performance dashboardsKPI portalGoverned AIKnowledge base
The customer who bought this morning is the gross figure on the dealer report — on agreed definitions, one record across sales and service. One capture, one truth — the group visible while the month can still be saved.
Benefits realized
What changes when the strategy lands.
The shifts below are what the seven focus areas add up to in a dealer group — showroom to boardroom, deal to lifetime value.
BeforeThe same customer keyed into five systems
AfterOne customer master, entered once
BeforeDealer reports assembled by hand each month
AfterAutomated flow, refreshed on demand
BeforeGross leakage answered in days
AfterProfitability by store in minutes
Before“Ask the controller” for every report
AfterSelf-serve KPI portal with definitions
BeforeAI experiments near customer and credit data
AfterGoverned AI with a compliance-ready trail
BeforeDeal and service practice in a few heads
AfterA searchable, living knowledge base
How we engage
Strategy and execution, delivered together.
We don't spend months writing a roadmap before anything changes. Each phase combines discovery, design, and implementation, so your teams begin using new capabilities while the roadmap continues to evolve.
Discovery & Assessment
We learn how your group actually runs — from the deal opened on the showroom floor to the report on the dealer principal’s desk.
Interviews across sales, service, parts, F&I, and finance Inventory of DMS, CRM, service, parts, and F&I systems Gap map: where customer, vehicle, and deal data break down Audit of existing reports and the manual effort behind them
Mostly conversations — no disruption to selling or servicing. You end the phase with a map of every place the same customer is re-keyed or reconciled, and what that costs.
Analysis & Framework Design
We design the central platform and start building — capture, connections, and guardrails, as requirements firm up.
Central platform and customer/vehicle data model on Microsoft Fabric / Azure / Databricks Capture-at-entry design: guided deal and write-up with built-in checks Integrations ranked by ROI — customer and vehicle master to DMS and CRM first Sensitivity tiers and AI guardrails for customer PII and credit data
The first automated reports replace manual ones mid-phase. A pilot store runs the new deal flow live, and their feedback shapes the design.
Roadmap & Validation
You leave with a phased roadmap and a substantially implemented platform — a plan and working capability, together.
Phased roadmap covering every data initiative Priority dashboards and system connections live KPI portal and knowledge base stood up Wish-list platform open to sales and service teams
The dealer report already assembles itself. There’s one place to find every number — and a prioritized plan for what comes next.
Phases can be resequenced to fit your priorities. Engagement model and investment are tailored per organization — book a meeting and we'll scope it to you.
Start here
Bring us your rooftops and your systems.
We'll show you how your data should flow, identify the biggest opportunities for improvement, and define a phased engagement that fits your business.
30 minutes No obligation Microsoft Fabric partners