Auto Dealership

Auto dealers are sitting on mountains of untapped data across DMS, CRM, and marketing platforms. We unify it all into a single intelligence layer that drives lead conversion, optimises inventory, and keeps customers coming back.

Lead scoring, inventory analytics & service retention for dealers
Dealership intelligence delivery across multi-rooftop groups
End-to-end: from DMS data ingestion to AI-powered insights

Run a Dealership Analytics Assessment

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The Reality

Siloed Data. Missed Opportunities.

Dealerships aren't failing because they lack data. They're failing because the data is trapped in DMS silos, disconnected CRMs, and spreadsheet reports that arrive too late to act on. These problems compound — and they're costing you sales, service revenue, and customer loyalty.

1

Leads are wasted on low-intent prospects

Your BDC treats every lead the same. Without AI-powered scoring, high-intent buyers wait in queue behind tire-kickers — and by the time you call, they've gone to a competitor.

2

Inventory is a blind spot across rooftops

You don't have real-time visibility into what's sitting on each lot. Aging units pile up, popular models sell out, and pricing decisions are made on gut feel, not market data.

3

Service customers are quietly defecting

After the warranty expires, customers vanish. You have no predictive model to identify at-risk service customers or trigger retention outreach before they leave for an independent shop.

4

DMS data is siloed and inaccessible

Your DMS holds years of sales, service, and parts data — but it's locked in proprietary formats. Getting a simple cross-department report takes days of manual extraction.

5

No cross-dealership visibility for groups

If you operate multiple rooftops, you can't compare performance across stores. Each location runs its own reports, with different definitions and different timelines.

6

Manual reporting burns analyst hours

Your team spends more time pulling data into spreadsheets and formatting monthly reports than actually analysing performance or finding growth opportunities.

7

OEM compliance pressure is increasing

OEM program requirements are getting more complex. Without automated compliance tracking and reporting, you risk losing incentives and program eligibility.

8

Marketing spend has no clear attribution

You're spending on Google, social, third-party leads, and traditional media — but you can't tell which channels actually drive showroom visits and closed deals.

Our Expertise

End-to-End Dealership Intelligence

Lead Scoring & Sales Intelligence

AI-powered lead scoring that ranks every prospect by purchase intent, sales funnel analytics that expose bottlenecks, and BDC optimisation that turns more calls into appointments.

  • AI-powered lead scoring by purchase intent
  • Sales funnel analytics & bottleneck detection
  • BDC performance optimisation
  • Lead source ROI & attribution

Inventory & Pricing Analytics

NEW

Real-time inventory visibility across every rooftop, dynamic pricing recommendations based on market demand, and days-on-lot optimisation that keeps capital turning.

  • Real-time inventory visibility across rooftops
  • Dynamic pricing recommendations
  • Days-on-lot optimisation & aging alerts
  • Market demand & competitive pricing analysis

Service Retention & Fixed Ops

Service appointment analytics that predict no-shows, customer lifecycle tracking that drives repeat visits, and warranty analytics that protect margins.

  • Service appointment analytics & no-show prediction
  • Customer lifecycle & repeat visit tracking
  • Warranty analytics & claims optimisation
  • Fixed ops revenue & gross profit dashboards

Dealer Performance & Group Analytics

Multi-rooftop dashboards that benchmark every store, group-level analytics for dealer principals, and OEM compliance reporting that keeps you in good standing.

  • Multi-rooftop performance dashboards
  • Store-to-store benchmarking & rankings
  • OEM compliance & program tracking
  • Group-level P&L & executive reporting

AI-Powered

AI Built for Auto Dealerships

Go beyond dashboards. Our AI models continuously score leads, optimise pricing, and predict service demand — turning your dealership data into decisions before your team even opens a report.

Predictive Lead Scoring

AI-Powered Intent Detection

An AI model that scores every inbound lead by purchase probability — factoring in browsing behaviour, trade-in signals, and engagement patterns — so your BDC focuses on the hottest prospects first.

  • Real-time lead scoring from web & CRM signals
  • Priority routing to top-performing sales reps
  • Lead-to-close probability with confidence intervals

Dynamic Pricing Engine

Market-Driven Price Optimisation

An AI agent that monitors market listings, days-on-lot, and local demand signals to recommend optimal pricing — maximising gross profit while maintaining competitive turn rates.

  • Competitive market pricing analysis
  • Gross profit vs. turn rate optimisation
  • Automated price adjustment recommendations

Service Appointment Prediction

Retention & Fixed Ops AI

A predictive model that identifies customers due for service, predicts no-show risk, and triggers personalised outreach — keeping your service bays full and retention rates high.

  • Next-service prediction by vehicle & customer
  • No-show risk scoring & overbooking optimisation
  • Automated retention campaign triggers

Our Process

From Raw Data to Dealership Intelligence

A proven 5-step methodology that takes you from fragmented dealership data to unified, AI-powered analytics — with measurable results at every stage.

01

Discovery & Data Audit

We map your entire dealership data ecosystem — DMS, CRM, lead sources, service systems, and marketing platforms — to identify gaps, quality issues, and quick wins.

02

Data Unification

We connect and unify your data sources into a single, governed analytics layer — normalising taxonomy, resolving identity, and building the foundation for every downstream use case.

03

Analytics & Dashboard Build

We build role-specific dashboards for sales managers, service directors, and dealer principals — with lead scoring, inventory analytics, and service retention models baked in.

04

AI Model Deployment

We deploy predictive models for lead scoring, dynamic pricing, and service demand — each calibrated to your specific market, inventory mix, and customer base.

05

Optimise & Scale

We continuously monitor model accuracy, recalibrate against actuals, and evolve your analytics as your dealership group grows — adding rooftops, brands, and use cases over time.

Auto Tech Stack

Best-in-Class Automotive Tech Stack

We don't force you onto a single platform. We orchestrate the right combination of DMS, CRM, analytics, and data tools to build your unified dealership intelligence layer.

Salesforce Automotive Cloud

CDK Global

DealerSocket

Snowflake

Tableau

Power BI

Google Analytics

Databricks

+ native connectors to all major DMS & CRM platforms

How We Work

Choose Your Starting Point

Pick the engagement model that fits where you are. All engagements include a dedicated automotive analytics lead and a clear outcome definition.

Fixed Scope

Dealership Data Audit

Ideal for: Dealers needing clarity on their data landscape

A 2-week deep-dive into your dealership data ecosystem — DMS connectors, CRM data quality, lead source gaps, and reporting bottlenecks — with a prioritised remediation roadmap.

  • DMS & CRM data source inventory
  • Lead data quality & attribution assessment
  • Reporting bottleneck identification
  • Dashboard consolidation roadmap
  • Quick-win recommendations
Start with an Audit
Most Popular
Tailored Engagement

Unified Dealer Analytics Sprint

Ideal for: Dealer groups ready to consolidate and unify

A full analytics build — from DMS data ingestion and unification through to lead scoring, inventory dashboards, and service retention analytics — delivered in 8–12 weeks with a dedicated automotive analytics team.

  • Everything in Dealership Data Audit
  • Cross-rooftop data unification
  • Lead scoring & sales performance dashboards
  • Inventory & pricing analytics implementation
  • Service retention model deployment
  • Team training & knowledge transfer
Build Unified Analytics
Monthly Retainer

Managed Analytics Service

Ideal for: Dealer groups that want ongoing expert analytics

We embed as your analytics Centre of Excellence — continuous optimisation, AI model management, dashboard evolution, and a dedicated automotive analytics partner on call.

  • Ongoing dashboard management & evolution
  • AI model monitoring & recalibration
  • Monthly performance reviews & insights
  • Dedicated automotive analytics lead
  • Priority SLA support
Explore Managed Service

Case Study

Multi-Rooftop Dealer Group

From Siloed Stores to One Unified Dashboard — and Measurable Conversions Lift

a multi-rooftop dealer group had no cross-store visibility. Each location ran its own DMS reports, lead scoring was non-existent, and service retention was below 60%. We unified their data, deployed AI lead scoring, and built group-wide dashboards — lifting lead conversion by 25% and service retention to 90%.

25%

Lead conversion lift

12→1

Unified dashboard

90%

Service retention

Read the full case study
25%

Lead conversion lift

Unified · AI-Scored · Automated

Real Results

What Dealerships Achieve With Us

1000+

Projects

600+

Customers

20+

Years of Enterprise Expertise

4.5

Customer Satisfaction Score

Connected Services

Services That Power Dealership Intelligence

Dealership intelligence doesn't exist in isolation. These foundational services underpin every automotive analytics and AI solution we deliver.

Data Activation

Unify, cleanse, and activate your dealership data across platforms — building the foundation every automotive analytics stack depends on.

Data Engineering

Salesforce Automotive Cloud

Connect Salesforce Automotive Cloud to your unified data layer — for cross-dealership analytics that actually work.

Technology Services

Decision Intelligence

Build the data infrastructure that powers dealership intelligence — from ingestion pipelines and semantic layers to governed data products.

Data Dashboarding