# QoreAI

> The Dealership Intelligence Platform. QoreAI unifies DMS, CRM, inventory, and marketing data into one AI-powered system built for automotive retail, for dealer groups and single rooftops alike.

QoreAI deploys in 60 days, integrates with Reynolds & Reynolds, CDK, Tekion, VinSolutions and more, and includes native Equifax identity verification, a custom RAG AI trained on your data, and daily intelligence briefs. Founded by Todd Smith, author of *The Intelligent Dealership*.

## Pages

- [Home](/): Overview of the QoreAI Dealership Intelligence Platform.
- [Product: QoreCloud](/product): Flagship AI platform with the QoreVault data foundation included.
- [Vault](/vault): Data-only foundation tier, a dealership lakehouse at $1K/rooftop/mo.
- [Blueprint](/blueprint): Workflow and automation surface for dealership operations.
- [The Intelligent Dealership Manifesto](/manifesto): Todd Smith's long-form thesis on AI and the Intelligence War in automotive retail.
- [Architecture](/architecture): Technical pipeline, agents, identity, and governance.
- [Pricing](/pricing): QoreCloud platform priced per rooftop per month on volume tiers (1 to 5 rooftops $3,000, 6 to 15 $2,750, 16 to 25 $2,500, 26+ $2,250), plus $400/dealership/mo data movement and a $5,000 one-time setup. Month to month after the first 90 days. Includes an ROI calculator.
- [About](/about): Company, founder Todd Smith, and mission.
- [Resources](/resources): Guides, research, and dealership intelligence reports.
- [The 7 Reports Every Dealer Needs](/resources/seven-reports): Free guide on the core reports for dealer intelligence.
- [AI Readiness Assessment](/assessment): Free 7-minute, 15-question check that scores a dealership across 5 pillars and returns three plays to start this week.
- [Book: The Intelligent Dealership](/book): Todd Smith's book on AI and data in automotive retail.
- [Blog](/blog): Articles on dealership AI, data strategy, and automotive intelligence.
- [Marketplace](/marketplace): Browse 200+ integrations and apps that run on QoreCloud, from marketing and ads to AI agents and identity.
- [Become a Marketplace Partner](/marketplace/partner): Apply to build on QoreCloud and reach hundreds of dealer rooftops.
- [Marketplace Partner Network](/marketplace/network): The partner network behind QoreCloud, organized by category.
- [Legal and Customer Agreements](/legal): The agreements referenced in QoreAI Order Forms.

## Essays

- [You Cannot Buy an Advantage Your Competitor Can Also Buy](/owned-vs-rented-intelligence): Todd Smith's flagship essay on owned vs rented dealership intelligence, the four tolls dealers pay for their own data, why identity fragmentation breaks AI pilots, and the five questions to ask before signing a vendor contract. Includes printable worksheets.

## Free Tools and Templates

- [Free Templates and Tools](/resources/tools): Hub for the free dealership calculators, templates, and checklists below.
- [Vendor Stack Cost Calculator](/resources/vendor-stack-cost-calculator): Total the monthly cost of a dealership vendor stack and export a PDF report.
- [Pay Plan Cost Model](/resources/pay-plan-cost-modeler): Model the true cost of a dealership pay plan.
- [Service Absorption Calculator](/resources/service-absorption-calculator): Calculate fixed-operations absorption rate.
- [Data Ownership Scorecard](/resources/data-ownership-scorecard): Score how much of your dealership data you actually control.
- [The Dealer Data Addendum](/dealer-data-addendum): Free, editable contract addendum with the clauses that keep dealership data portable, exportable, and out of shared vendor models. Exports to PDF.
- [Dealership AI Vendor Questions](/resources/dealership-ai-vendor-questions): The questions to ask any AI vendor before signing.
- [DMS Data Export Checklist](/resources/dms-data-export-checklist): What to pull, and in what format, before a DMS change.
- [AI Nucleus Scorecard](/score): Seven-item assessment that scores a dealership's AI readiness, benchmarks it against anonymous peers, and returns a 30/60/90 roadmap.

## Insights and Reference

- [What Is Dealership Intelligence?](/insights/dealership-intelligence): Definition, the four pillars, and how dealership intelligence differs from a DMS reporting seat, a BI tool, and a CDP.
- [Dealership Data Benchmarks 2026](/insights/dealership-data-benchmarks-2026): Fifteen cite-able benchmarks on dealership data quality, revenue leakage, deployment timelines, and operating efficiency.
- [Data Governance for Dealers](/insights/data-governance): Collection, storage, and utilization standards under any dealership data platform.
- [Reducing Revenue Leakage](/insights/reducing-revenue-leakage): Playbook for closing F&I and fixed-ops gross leaks with unified data.
- [Todd Smith, founder of QoreAI](/about/todd-smith): Founder profile and bio for Todd Smith, ex-dealer principal, author of The Intelligent Dealership.

## Pillar Guides (definitive answers)

- [Automotive Data Warehouse](/automotive-data-warehouse): A dealer-owned data store that unifies DMS, CRM, F&I, service, inventory, and ad data into one governed schema. Key stats: 10 to 15 disconnected systems per single-rooftop store; 12 to 24 months to build from scratch; 60 days with a dealer-focused platform.
- [Automotive Data Management](/automotive-data-management): The discipline of collecting, governing, and serving dealership data across every system. Key stats: bad data costs 3 to 5 percent of gross revenue per year, $1M to $1.8M at a $36M store; FTC Safeguards and CCPA are operational requirements.
- [Dealership Data Platform](/dealership-data-platform): Software that unifies operational data and serves AI, BI, and integrated apps. Key stats: 60 day standard deploy; $3,400/mo all-in for a single rooftop on QoreCloud; dealer-owned storage with a Continuity Certificate.
- [Dealership Data Hygiene](/dealership-data-hygiene): The continuous practice that keeps customer records accurate, deduplicated, and unified. Key stats: 2.5 percent email decay per month; 25 percent phone decay per year; target under 2 percent duplicate customer rate.
- [Automotive CDP Alternative](/automotive-cdp-alternative): Honest, sourced comparison of QoreCloud vs Fullpath, Cox / VinSolutions, Tealium for Automotive, and Hightouch. Updated quarterly with a last-verified date.
- [AI for Car Dealerships](/ai-for-car-dealerships): What dealership AI actually delivers in 2026. Four use cases that work: plain-English Q&A, equity mining + predictive service, BDC and chat agents, workflow documentation. All require unified data underneath.
- [DMS Data Integration](/dms-data-integration): How to extract data from Reynolds, CDK, Tekion, and Dealertrack. Reynolds Certified Interface, CDK Fortellis, Tekion REST + event APIs, Dealertrack DMI.
- [Automotive Data Infrastructure](/automotive-data-infrastructure): The reference architecture for a dealership data stack. Five layers: ingestion, staging, transformation, unified core, serving. SOC 2 Type II, FTC Safeguards aligned.
- [Dealership Data & AI Glossary](/glossary): 20+ definitions covering DMS, CRM, lakehouse, identity resolution, RAG, AI agents, SOC 2, FTC Safeguards, and more. Each entry has a dedicated URL with schema.org DefinedTerm markup.

## Featured Blog Articles

- [Per-Rooftop Pricing for Dealership Software (2026)](/blog/per-rooftop-dealership-software-pricing): What dealership software actually costs per rooftop, ranges by category and how QoreCloud compares.
- [The Automotive CDP Alternative for Dealerships](/blog/automotive-cdp-alternative-for-dealerships): Why dealers are moving off customer data platforms and what the dealer-owned alternative looks like.
- [Agentic CRM for Dealerships](/blog/agentic-crm-for-dealerships): What an agentic CRM is and why your current CRM is not one.
- [Equity Mining Is a Feature, Not a Product](/blog/equity-mining-feature-not-product): Why equity mining tools miss opportunity on fragmented dealership data.
- [Dealership Data Warehouse vs Lakehouse](/blog/dealership-data-warehouse-vs-lakehouse): Which architecture your dealership actually needs, and why lakehouse wins for AI.
- [DMS Vendor Data Access Questions for Dealers](/blog/dms-vendor-data-access-questions-for-dealers): 15 contract questions to ask your DMS vendor about data access in 2026.
- [AI Agent Workflows for Auto Dealerships](/blog/ai-agent-workflows-auto-dealerships): 12 real AI agent workflows dealers are running today, from BDC to service to F&I.
- [The Dealership Data Ownership Checklist](/blog/dealership-data-ownership-checklist): 20 questions to answer before you sign any vendor. Downloadable PDF included.
- [Biometric Verification for Automotive Dealerships](/blog/biometric-verification-for-dealerships): What works, what does not, and where biometrics fit in F&I compliance.
- [Best Identity Verification Software for Dealership Fraud Prevention](/blog/best-identity-verification-software-dealerships): How the top ID verification vendors stack up for auto retail.
- [Do Car Dealerships Need a CDP?](/blog/do-car-dealerships-need-a-cdp): Why most automotive CDPs are vendor-hosted and the dealer-owned alternative.
- [What Is Agentic AI for Car Dealerships?](/blog/what-is-agentic-ai-for-car-dealerships): What AI agents do in a dealership and the data foundation they need to work.
- [What Does Dirty Data Cost a Dealership?](/blog/what-does-dirty-data-cost-a-dealership): Duplicate customer records, missed equity, and the fix for dealership data quality.
- [Switching Your DMS? How Not to Lose 20 Years of Customer Data](/blog/switching-your-dms-how-not-to-lose-customer-data): Protecting dealership intelligence through a DMS conversion.
- [What Is Equity Mining?](/blog/what-is-equity-mining-dealership): Why equity mining tools miss opportunities on fragmented dealership data.
- [Why Your Dealership Rents Its Own Intelligence](/blog/why-your-dealership-rents-its-own-intelligence): How vendor-hosted platforms turn dealer data into rented intelligence.
- [Digital Feudalism on the Showroom Floor](/blog/digital-feudalism-on-the-showroom-floor): The dependency model behind modern dealership software.
- [Your DMS Is Not Your Data Strategy](/blog/your-dms-is-not-your-data-strategy): Why the DMS is a system of record, not an intelligence layer.
- [What a Data-Owned Dealership Actually Looks Like](/blog/what-a-data-owned-dealership-actually-looks-like): The operating model when dealers own their unified data layer.
- [The Questions to Ask Every Vendor Before You Sign](/blog/questions-to-ask-every-vendor-before-you-sign): Contract terms that determine whether you keep your data.
- [The 265 Workflows Inside Every Dealership](/blog/dealership-workflows-265): Why a fully documented store has 265+ workflows but the average has fewer than 10 written down.
- [Why Salesperson Productivity Hasn't Moved in 75 Years](/blog/salesperson-productivity-75-years): Average cars per salesperson per month and why every tech wave failed to move it.
- [Shadow Your Best Advisor for One Day](/blog/workflow-baseline-method): The workflow baseline method for documenting dealership processes from your top performer.
- [AI on Bad Data Is Just Fast Bad Decisions](/blog/ai-on-bad-data): Why dealership AI pilots fail when the data underneath them is wrong.
- [The One Question to Ask Every AI Vendor](/blog/one-question-ai-vendor): What data are you running on, and do I own it.
- [Not a Report. An Answer.](/blog/dealership-ai-use-cases-signals): Four examples of what real dealership AI looks like in practice.
- [AI Can Do the Task. You Still Own the Job.](/blog/ai-task-vs-job): The difference between AI tasks and the dealership jobs that own them.
- [Rented Intelligence Stops When You Stop Paying](/blog/rented-vs-owned-intelligence): The economics of rented vs owned AI for dealerships.
- [What Is a RAG? The Filing Cabinet That Runs Your Store](/blog/what-is-a-rag): Retrieval augmented generation explained for dealership operators.
- [What Is an LLM? The Engine in Plain English](/blog/what-is-an-llm): Large language models explained without the jargon.
- [What Does API Mean?](/blog/what-is-an-api): How dealership systems talk to each other without a human in the middle.
- [What Is a Lakehouse? The Database You Actually Own](/blog/what-is-a-lakehouse): The dealership database architecture you actually own.
- [How Bad Is Data Decay, Really?](/blog/data-decay-dealership): The math on 2.5% monthly email decay and 25% annual phone decay in dealership CRMs.
- [How Do You Protect Your Data While Using AI?](/blog/protect-dealership-data-ai): One rule that covers 90% of dealership AI data risk.
- [Press](/press): Press releases and media announcements from QoreAI.
- [Data Governance](/data-governance): How QoreAI handles data, security, and compliance.
- [Solutions: Single Rooftops](/solutions/single-rooftops): For independent dealerships.
- [Solutions: Dealer Groups](/solutions/dealer-groups): For multi-rooftop groups.
- [Contact](/contact): Request a demo.
- [Careers](/careers): Open roles at QoreAI.

## Book Excerpts (The Intelligent Dealership)

Sample passages from Todd Smith's book. Each links to Amazon for the full read.

- [The $78,000 sale Westside Motors lost](/book/excerpts/alicias-lost-sale): Vivid case scene showing how fragmented dealership data lost a loyal six-vehicle customer.
- [Why bad data steals 3 to 5% of gross revenue](/book/excerpts/three-five-percent-revenue-leak): Full cost breakdown of bad dealership data at a typical $36M store.
- [The Three-Tier Problem](/book/excerpts/the-three-tier-problem): Why dealership data breaks at the collection, storage, and utilization layers all at once.
- [73% of GMs decide on gut feel](/book/excerpts/the-data-paradox): The data paradox in dealerships and why intuition is now a liability.
- [AI is the new general manager](/book/excerpts/ai-is-the-new-general-manager): The three shifts (LLMs, disappearing interfaces, agentic AI) reshaping dealerships.
- [What an intelligent dealership feels like](/book/excerpts/the-sarah-scenario): Real-world walkthrough of an AI-powered dealership in action.
- [Your systems were never designed to talk](/book/excerpts/your-systems-were-never-designed-to-talk): The architectural reason CRMs, DMS, and service systems do not share a customer.
- [Vendor-first vs. dealer-first architecture](/book/excerpts/vendor-first-vs-dealer-first-architecture): The data-ownership distinction that decides whether intelligence compounds for the dealer or the vendor.
- [The data delusion](/book/excerpts/the-data-delusion): Cherry-picked reports and inflated engagement metrics that hide what actually matters.
- [The data-to-decision gap](/book/excerpts/data-to-decision-gap): Why dealerships do not have a data problem, they have a decision problem.
- [Who actually owns your customer data?](/book/excerpts/who-owns-your-customer-data): The uncomfortable truth in standard vendor contracts.
- [The window is closing](/book/excerpts/the-window-is-closing): The widening gap between intelligent dealerships and reactive ones.

## Optional

- [Privacy](/privacy): Privacy policy.
- [Terms](/terms): Terms of service.