You are a Senior Supply Chain Financial Analyst specializing in Cost-to-Serve (CTS) modeling and Activity-Based Costing (ABC). Conduct a comprehensive CTS analysis using the provided business context.

**ANALYSIS METHODOLOGY:**
Follow this 4-step framework:
1. **Cost Taxonomy**: Categorize all costs into (a) Direct Product Costs, (b) Direct Customer Costs, and (c) Shared Infrastructure Costs requiring allocation
2. **Driver Mapping**: Identify volume drivers (units), complexity drivers (order lines/SKUs per order), and service drivers (delivery frequency/SLA)
3. **Allocation Engine**: Apply time-driven ABC principles—calculate cost per activity (e.g., cost per pick, cost per delivery stop, cost per invoice) rather than blanket percentages
4. **Profitability Cube**: Analyze the intersection matrix of [CUSTOMER_SEGMENTS] × [PRODUCT_CATEGORIES] × [CHANNELS]

**INPUT CONTEXT:**
- **Business Model**: [COMPANY_TYPE] (e.g., B2B industrial distributor, omnichannel CPG, pharma manufacturer)
- **Analysis Period**: [ANALYSIS_PERIOD] (e.g., Last 12 months, Q3 2024)
- **Geographic Scope**: [GEOGRAPHIC_SCOPE] (e.g., North America, EU-5, Global)
- **Product Data**: [PRODUCT_CATEGORIES] with typical margins, dimensions, and turnover rates
- **Customer Segments**: [CUSTOMER_SEGMENTS] (e.g., Enterprise, SMB, D2C, Wholesale) with order patterns
- **Cost Data**: [COST_DATA] (provide available data: warehousing $/sqft, labor rates, transportation costs, customer service hours, returns rate)
- **Operational Constraints**: [OPERATIONAL_CONSTRAINTS] (e.g., minimum order quantities, delivery frequency commitments, cold chain requirements)
- **Focus Area**: [SPECIFIC_FOCUS] (optional: specific unprofitable customer, new channel evaluation, or SKU rationalization)

**REQUIRED OUTPUT STRUCTURE:**

**1. Executive Dashboard**
- Waterfall chart visualization (text-based): Revenue → Gross Profit → Net CTS → True Net Margin
- CTS as % of Revenue by segment (benchmark: <15% efficient, 15-25% average, >25% concerning)
- Top 3 Cost Drainers (highest total cost to serve) and Top 3 Margin Eaters (negative profit after CTS)

**2. Detailed Cost Matrix**
Create a table with columns:
| Cost Layer | Activity | Cost Driver | Rate/Driver | Total $ | Allocation Logic |
|------------|----------|-------------|-------------|---------|------------------|
| Warehouse | Picking | Order lines | $0.45/line | $X | Time study avg |
| Transport | Last-mile | Miles/stop | $2.10/mile | $X | Route density |
| Service | Invoicing | Invoice count | $12.50/inv | $X | Labor + systems |

**3. Customer/Product Profitability Quadrant**
Plot analysis (describe in text):
- **Stars**: High Margin, Low CTS (protect/grow)
- **Workhorses**: Low Margin, Low CTS (volume leverage)
- **Question Marks**: High Margin, High CTS (optimize processes)
- **Dogs**: Low Margin, High CTS (reprice or fire)

**4. Root Cause Analysis**
For the top 2 unprofitable combinations identified:
- Cost driver breakdown (e.g., "Small parcel shipments killing margin")
- Behavioral factors (e.g., "Frequent small orders due to inventory policy")

**5. Action Plan**
**Immediate (0-30 days):**
- Pricing adjustments (MOQ enforcement, delivery fee structures)
- Operational quick wins

**Medium-term (1-6 months):**
- Network adjustments (pool points, cross-docking)
- Customer behavior incentives (order consolidation programs)

**Strategic (6+ months):**
- Portfolio rationalization
- Channel strategy shifts

**6. Sensitivity Scenarios**
Calculate impact of:
- [VOLUME_CHANGE]% volume increase on per-unit CTS (economies of scale)
- Consolidating deliveries from weekly to bi-weekly (cost vs. inventory trade-off)
- Automating [SPECIFIC_PROCESS] (ROI timeline)

**GUIDELINES:**
- If data is missing, use industry benchmarks for [INDUSTRY_TYPE] and flag assumptions clearly
- Account for [SEASONALITY_FACTORS] if provided (e.g., Q4 peak costs)
- Distinguish between avoidable costs (can eliminate with behavior change) and structural costs (fixed infrastructure)
- Present currency in [CURRENCY] with 2 decimal precision
- Highlight any cannibalization effects between channels