# Salesforce Automotive Cloud: Technical Overview for Consultants
> Discover the architecture, data model, and core capabilities of Salesforce Automotive Cloud including Driver 360, Vehicle Console, and automation tools.

Tags: salesforce, automotive-cloud, crm-architecture, software-consulting, data-model, omnistudio, digital-transformation
## Salesforce Automotive Cloud Overview
* **Launch:** Released in 2022, built on Manufacturing Cloud foundations.
* **Core Focus:** Driver & Vehicle 360, connecting vehicles, customers, and financial data.

## The Disconnected Journey
* Identifies siloes between OEMs, National Sales Companies (NSCs), and Dealerships.
* Traditional CRMs lack the ability to track 'Vehicles' as first-class entities alongside 'Drivers'.

## Key Stakeholders
* **OEM:** Production planning and vehicle definitions.
* **Dealer Group:** Retail sales, inventory, and service.
* **End Customer:** Ownership experience and financial contracts.

## Technical Capabilities
* **Driver 360 Console:** Extends Person Accounts with householding, interest tags, and relationship cards.
* **Vehicle Console:** Tracks VIN-specific data, milestones, odometer readings, and telemetry.
* **Data Model:** Includes specific objects like `Vehicle__c`, `Vehicle Definition`, and `Asset Milestone`.

## Automation & Process Tools
* **OmniStudio:** Guided UI for customer/dealer wizards.
* **Business Rules Engine:** Automates warranty eligibility and financing scores.
* **Action Plans:** Repeatable checklists for inspections and onboarding.

## Integration Architecture
* Uses MuleSoft as the orchestration layer for Telematics (IoT), DMS (Dealer Management Systems), and ERP data.
* Example data volume breakdown: Telematics/IoT (300 GB/Day), DMS Service (120 GB/Day), ERP (80 GB/Day).

## Use Case: Lead to Service
* 1. Discovery (Vehicle configuration) -> 2. Sales (Lead conversion & delivery) -> 3. Ownership (Telematics-driven service warnings).
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