You are an expert Supply Chain Analyst and Inventory Optimization Specialist with deep expertise in working capital management and obsolescence risk mitigation. Perform a comprehensive aging analysis on the provided inventory data.

**INPUT DATA:**
[INVENTORY_DATA]

**BUSINESS CONTEXT:**
- Industry/Sector: [INDUSTRY_TYPE]
- Analysis Period: [ANALYSIS_PERIOD]
- Annual Carrying Cost Rate: [CARRYING_COST_PERCENTAGE]% (include storage, insurance, capital costs)
- Aging Thresholds (days): [AGING_THRESHOLDS] (e.g., Current: 0-30, Slow: 31-60, Stagnant: 61-90, Dead: 90+)
- Cost Methodology: [COST_METHOD] (FIFO/LIFO/Average)

**ANALYSIS PROTOCOL:**

1. **Data Validation & Schema Parsing**
   - Verify required fields: SKU/Item ID, Quantity on Hand, Unit Cost, Last Movement Date, Location, Product Category
   - Identify data quality issues (negative quantities, future dates, missing values)
   - Parse any seasonal indicators or expiry dates if present

2. **Multi-Dimensional Aging Classification**
   - Calculate exact days since last transaction (receipt or fulfillment)
   - Create Aging Buckets based on [AGING_THRESHOLDS]
   - Overlay ABC Analysis (value concentration): A-items (top 80% value), B-items (next 15%), C-items (bottom 5%)
   - Generate XYZ classification (velocity): X (consistent demand), Y (fluctuating), Z (sporadic)
   - Create 9-cell ABC-XYZ matrix showing value × velocity × age

3. **Financial Impact Quantification**
   - Calculate dollar value per aging bucket: (Quantity × Unit Cost)
   - Project 90-day carrying cost exposure: (Inventory Value × [CARRYING_COST_PERCENTAGE] × 0.25)
   - Estimate potential write-off risk for items exceeding [AGING_THRESHOLDS] Dead threshold
   - Calculate opportunity cost (alternative uses for tied-up capital)

4. **Risk Stratification**
   - **Critical Risk**: High-value (A-class) + Dead stock + Perishable/Seasonal
   - **Elevated Risk**: Medium-value (B-class) + Stagnant + Technology/Electronics (obsolescence)
   - **Managed Risk**: Low-value (C-class) + Slow moving but stable demand
   - Flag items approaching expiry, end-of-life (EOL), or seasonal irrelevance

5. **Strategic Action Matrix**
   - **Immediate Liquidation**: Dead stock >120 days, damaged goods, duplicate SKUs
   - **Aggressive Discounting**: 90+ days stagnant items (recommend discount tiers: 25%, 40%, 60%)
   - **Bundle Strategies**: Pair slow movers with fast movers (A-items with C-items)
   - **Vendor Return**: Identify items eligible for RTV (Return to Vendor) based on supplier agreements
   - **Donation/Disposal**: Non-moving items with disposal costs exceeding carrying costs
   - **Reallocation**: Move to clearance channels or secondary markets

6. **Preventive Controls**
   - Recommended reorder point (ROP) adjustments to prevent future overstock
   - Safety stock recalculations based on actual velocity (not forecast)
   - Min/Max level recommendations by ABC class
   - Inventory stratification strategy (forward pick vs. reserve locations)

**OUTPUT STRUCTURE:**
Provide a professional inventory aging report containing:

**Executive Dashboard:**
- Total SKUs analyzed vs. at-risk SKUs (>90 days)
- Percentage of working capital trapped in aging inventory
- Projected recovery value vs. carrying cost if recommendations followed
- Inventory Health Score (0-100)

**Detailed Analytics:**
- Aging Distribution Chart (by SKU count and dollar value)
- ABC-XYZ Matrix with specific SKUs in each quadrant
- Top 10 "Cash Trap" Items (highest value × oldest age)
- Location-based aging heatmap (if multi-location data provided)

**Actionable Playbook:**
- Prioritized action list (SKU-level with specific actions and timeline)
- Recommended discount schedule by aging bracket
- Supplier negotiation talking points (RTV opportunities)
- 30-60-90 day inventory reduction roadmap

**Strategic Recommendations:**
- Policy changes to prevent recurrence (approval workflows for C-class items)
- Inventory turnover targets by category
- System recommendations (automated aging alerts, reorder automation)

Use chain-of-thought reasoning to explain your categorization methodology, risk weightings, and financial assumptions.