Automotive and mobility cases test your understanding of an industry in fundamental transformation—from product-centric manufacturing to service-based mobility ecosystems. Based on our analysis of 140+ automotive cases, the core challenge is balancing legacy business profitability with disruptive innovation in electrification, autonomy, and shared mobility.
The Automotive Value Chain Evolution
Traditional automotive value chains are being disrupted by new business models. Understanding this evolution is critical:
flowchart TD
subgraph Traditional
A[OEM Manufacturing] --> B[Dealer Network]
B --> C[After-Sales Service]
C --> D[End-of-Life]
end
subgraph Emerging
E[Mobility Platform] --> F[Fleet Operations]
F --> G[Service Subscription]
G --> H[Data Monetization]
end
Traditional -.->|Disruption| Emerging
A -.->|Direct-to-Consumer| E
C -.->|Connected Services| H
Key Automotive Metrics by Segment
Different segments require different analytical lenses. Memorize these benchmarks:
Traditional OEM Metrics
| Metric | Definition | Good Benchmark | Why It Matters |
|---|---|---|---|
| Units Sold | Total vehicle sales | Context-dependent | Volume driver |
| Average Selling Price (ASP) | Revenue / Units sold | $35K-$45K (mass market) | Revenue per unit |
| Gross Margin | (Revenue - COGS) / Revenue | 15-20% | Manufacturing efficiency |
| Days Inventory | Inventory / Daily sales | 60-70 days | Working capital efficiency |
| Warranty Cost per Vehicle | Total warranty / Units | $600-$900 | Quality indicator |
| R&D as % Revenue | R&D spend / Revenue | 4-6% | Innovation investment |
Dealer Network Metrics
| Metric | Definition | Benchmark | Impact |
|---|---|---|---|
| Sales per Dealer | Annual units / Dealership | 500-800 (varies by brand) | Network efficiency |
| Service Revenue Ratio | Service revenue / Total revenue | 30-40% | Profitability driver |
| Customer Retention Rate | Repeat customers / Total | >60% | Lifetime value |
| Inventory Turn | Annual sales / Average inventory | 8-12x | Capital efficiency |
Mobility Services Metrics
| Metric | Definition | Benchmark | Strategic Signal |
|---|---|---|---|
| Revenue per Mile | Total revenue / Miles driven | $1.50-$3.00 | Unit economics |
| Fleet Utilization | Hours in use / Total hours | >60% | Asset efficiency |
| Customer Acquisition Cost | Marketing spend / New users | <$50 | Scalability |
| Net Promoter Score (NPS) | Promoters % - Detractors % | >40 | Service quality |
Cost Structure Analysis
Automotive costs vary dramatically by business model:
mindmap
root((Automotive Costs))
Manufacturing
Direct Materials
Powertrain
Electronics
Body & Interior
Direct Labor
Assembly
Quality Control
Plant Overhead
Depreciation
Utilities
Distribution
Logistics
Inbound shipping
Outbound delivery
Dealer Margins
Sales commission
Inventory financing
Marketing
Brand advertising
Dealer incentives
After-Sales
Warranty
Parts
Labor reimbursement
Customer Service
Call centers
Digital platforms
Network Support
Training
Tools & Equipment
Innovation
R&D
Platform development
Propulsion tech
Software
Connectivity
Autonomous systems
Regulatory
Safety compliance
Emissions testing
Cost Breakdown by Vehicle Segment
| Cost Category | Mass Market | Premium | Luxury | EV |
|---|---|---|---|---|
| Direct Materials | 50-55% | 45-50% | 40-45% | 55-60% |
| Direct Labor | 10-15% | 8-12% | 6-10% | 8-12% |
| R&D | 5-7% | 6-8% | 7-10% | 8-12% |
| Marketing & Distribution | 10-15% | 12-18% | 15-20% | 12-18% |
| Overhead & Admin | 8-12% | 10-15% | 12-18% | 8-12% |
Note: EV materials costs are higher due to battery (30-40% of vehicle cost), but decreasing annually as scale improves.
Electric Vehicle Transition Challenges
EV cases often center on these strategic questions:
Battery Economics
Battery costs drive EV profitability. Current dynamics:
- Battery cost per kWh: $120-$140 (2026), down from $1,100+ (2010)
- Parity threshold: ~$100/kWh for cost-competitive EVs without subsidies
- Range economics: 60-80 kWh for mass market (300-400 km range)
Case angle: Should OEM invest in vertical integration (battery production) or rely on suppliers?
Charging Infrastructure
Network effects create first-mover advantages but require massive capital:
| Infrastructure Model | Capex per Station | Break-even Utilization | Strategic Control |
|---|---|---|---|
| Proprietary (Tesla) | $200K-$300K | 15-20% | High |
| Third-party partnerships | $50K-$100K | 10-15% | Low |
| Public-private consortiums | $100K-$150K | 12-18% | Medium |
Platform Strategy
OEMs face build-vs-buy decisions across the EV value stack:
flowchart LR
A[Skateboard Platform] --> B{Battery}
A --> C{Motor/Inverter}
A --> D{Thermal Management}
B --> E[Make]
B --> F[Buy]
B --> G[Joint Venture]
C --> E
C --> F
D --> E
D --> F
D --> G
style E fill:#90EE90
style F fill:#FFB6C1
style G fill:#FFD700
Framework: Evaluate control vs. speed vs. capital requirements. Mission-critical components (battery management, software) lean toward “make”; commoditized parts (inverters, motors) can be “buy.”
Shared Mobility Business Models
Mobility services introduce subscription economics to automotive:
Unit Economics Structure
Ride-hailing profitability requires optimizing across multiple variables:
- Gross Booking Value (GBV): Total customer payment per ride
- Take Rate: Platform fee (typically 20-30%)
- Net Revenue: Take rate revenue minus driver incentives
- Contribution Margin: Net revenue minus variable costs (insurance, payment processing, customer support)
Break-even question: At what scale does contribution margin cover fixed costs (tech platform, marketing, HQ)?
Fleet Management Decision Trees
Corporate fleets face optimization trade-offs:
| Decision | Option A | Option B | Key Variable |
|---|---|---|---|
| Ownership | Purchase | Lease | Capital availability |
| Propulsion | ICE | EV | Total Cost of Ownership over lifespan |
| Maintenance | In-house | Outsource | Fleet size & utilization |
| Refresh Cycle | 3 years | 5 years | Depreciation vs. maintenance |
Dealer Network Strategy
Traditional dealer models are under pressure from direct-to-consumer trends:
Channel Conflict Analysis
OEMs navigating DTC must balance:
- Legacy dealer revenue: Service contracts, financing, trade-ins (high-margin)
- Consumer preference: 70%+ prefer online research, 40%+ willing to buy fully online
- Legal constraints: Many regions mandate dealer franchise protections
Case approach: Start with addressable market segmentation. Which customer segments are best served by each channel? Premium urban buyers skew DTC; rural mass-market stays dealer.
Service Revenue Optimization
After-sales is the profit engine for dealers (40-60% of gross profit from 20-30% of revenue):
- Parts margin: 30-40% gross margin
- Labor rate: $100-$150/hour (varies by market)
- Warranty reimbursement: OEM pays dealer-negotiated rates
- Accessory sales: 50%+ gross margin on add-ons
Strategic question: How does EV transition impact service revenue? EVs have 40% fewer service needs (no oil changes, less brake wear, simpler drivetrains).
Common Case Patterns
Based on our case library, automotive cases typically fall into these archetypes:
1. OEM Profitability Decline
Symptoms: Flat/declining revenue, margin compression Root causes to explore:
- Pricing pressure (incentives, market share battles)
- Cost inflation (materials, labor, tariffs)
- Product mix shift (cannibalization of high-margin models)
- Warranty/recall spike
Framework: Profitability tree with segment-level breakdown. Don’t average across entire portfolio—A-segment and luxury have 10+ point margin differences.
2. Market Entry (New Geography/Segment)
Critical questions:
- Regulatory requirements (safety, emissions, local content)
- Distribution strategy (wholly-owned vs. JV vs. import/distributor)
- Localization depth (CKD assembly vs. full manufacturing)
- Brand positioning against incumbents
Quantitative anchors: Market size, growth rate, competitive intensity (CR5), tariff/tax structure.
3. Dealer Network Optimization
Typical asks: Reduce costs while maintaining coverage Levers:
- Consolidation (eliminate underperforming locations)
- Format variation (flagship vs. satellite showrooms)
- Digital substitution (online sales capture)
- Shared facilities (multi-brand under one roof)
Evaluation criteria: Sales per point, working capital efficiency, customer satisfaction.
4. EV Launch Strategy
Decision tree:
- Battery source: Supplier vs. in-house vs. JV?
- Platform: Dedicated EV architecture vs. multi-energy platform?
- Brand: Separate EV brand vs. extend existing?
- Go-to-market: Premium first (high margin, build halo) vs. mass market (volume, scale)?
Financial modeling: Break-even volume considering R&D amortization, manufacturing overhead, and battery cost curve.
Industry-Specific Frameworks
ACES Framework (Automotive Megatrends)
When structuring open-ended automotive strategy cases, use ACES:
- Autonomous: Self-driving technology impact on ownership, safety, insurance
- Connected: Telematics, OTA updates, data monetization
- Electric: Propulsion shift, charging infrastructure, battery supply chain
- Shared: Mobility-as-a-Service, ride-hailing, subscription models
Each pillar has distinct business model implications. Premium OEMs prioritize Autonomous + Connected (software differentiation); mass-market leans Electric + Shared (volume plays).
Total Cost of Ownership (TCO) Analysis
Automotive purchase decisions increasingly hinge on lifecycle costs, not sticker price:
TCO components:
- Purchase price (after incentives)
- Financing costs
- Fuel/electricity costs (annual miles × efficiency × price)
- Insurance
- Maintenance & repairs
- Registration & taxes
- Depreciation (residual value at trade-in)
EV vs. ICE comparison: EVs have higher purchase price but lower operating costs. Crossover occurs at ~150K km for mass market, sooner for commercial fleets.
Emerging Sub-Sectors
Watch for these high-growth niches in case discussions:
| Sub-Sector | Key Players | Growth Driver | Profitability Challenge |
|---|---|---|---|
| Micromobility | Lime, Bird, Voi | Urban congestion, last-mile gaps | Vandalism, low utilization |
| Autonomous Shuttles | May Mobility, Navya | Defined routes, accessibility | High capex, regulatory hurdles |
| Battery-as-a-Service | NIO, Gogoro | Lower upfront cost | Swap station density, standardization |
| Vehicle Subscription | Care by Volvo, Porsche Passport | Flexibility, no commitment | Customer acquisition cost, churn |
Data and Statistics to Reference
When building your case narrative, leverage these data points:
- Global auto sales: ~90M units annually (2024-2026), relatively flat post-pandemic recovery
- EV penetration: 15-18% of new sales globally (2026), 30%+ in China, 20%+ in Europe
- Average vehicle age: 12-14 years (developed markets), increasing due to quality improvements
- Dealer margins: 2-5% on new vehicle sales, 40-60% on service
- R&D intensity: Traditional OEMs 4-6% of revenue, Tesla 8-10%, tech entrants 15%+
- Battery cost decline: 15-20% annually due to scale, chemistry improvements
- Shared mobility TAM: $300B+ globally by 2030 (McKinsey estimates)
Key Takeaways
- Value chain is bifurcating: Traditional manufacturing vs. mobility platforms require different analytical frameworks
- EV transition is margin-negative short-term: Battery costs and R&D amortization compress profitability until scale arrives
- Service revenue vulnerability: EVs reduce dealer service needs by 40%, forcing business model shifts
- Software matters: Connected services and OTA updates becoming primary differentiation (10-15% of vehicle value)
- Fleet economics drive adoption: Commercial and ride-hailing accelerate EV penetration due to TCO advantages at high utilization
- Regulatory arbitrage exists: Emissions mandates, subsidies, and tariffs vary wildly by geography—location strategy is critical
Practice Your Skills
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Understanding automotive and mobility cases positions you to tackle one of consulting’s most strategically complex sectors—an industry where century-old business models collide with software-driven disruption.