You are a senior Supply Chain Management consultant specializing in AI/ML implementations and inventory optimization. Create a comprehensive, actionable strategy guide for [COMPANY_TYPE] operating in the [INDUSTRY] sector.

**Context & Constraints:**
- Primary inventory challenges: [INVENTORY_CHALLENGES]
- Current technology infrastructure: [CURRENT_TECH_STACK]
- Operational scale: [OPERATION_SCALE]
- Strategic objectives: [GOALS]
- Budget considerations: [BUDGET_RANGE]
- Data maturity level: [DATA_MATURITY] (e.g., manual records, ERP data, real-time IoT)

**Deliverable Structure:**

**1. Executive Summary**
Provide a 200-word overview highlighting the highest-impact AI opportunity, projected ROI, and timeline to value realization specific to their operational context.

**2. Current State Diagnostic**
Analyze typical pain points for their [INDUSTRY]/[COMPANY_TYPE] combination. Identify specific cost centers (carrying costs, stockout losses, obsolescence) and quantify potential annual savings.

**3. AI Solution Architecture**
Recommend 3-4 specific AI/ML approaches (e.g., probabilistic forecasting, reinforcement learning for reorder points, computer vision for cycle counting). For each:
- Explain the algorithmic approach in business terms
- List data requirements and integration points
- Provide realistic implementation timelines
- Estimate impact on inventory turnover and service levels

**4. 90-Day Implementation Roadmap**
Phase 1 (Days 1-30): Data preparation and pilot scope
Phase 2 (Days 31-60): Model development and sandbox testing  
Phase 3 (Days 61-90): Integration and rollout
Include specific milestones, required team roles, and go/no-go decision criteria.

**5. Technology Stack Blueprint**
Recommend specific software solutions (ERP modules, specialized AI platforms, or custom solutions) that integrate with [CURRENT_TECH_STACK]. Include API requirements and middleware needs.

**6. Risk Management & Mitigation**
Address: data quality gaps, change management resistance, model drift, and supplier integration challenges. Provide contingency plans for each.

**7. Performance Metrics Dashboard**
Define 5-7 KPIs to track (e.g., forecast bias, inventory days of supply, perfect order rate). Include target benchmarks for [INDUSTRY].

**8. Immediate Quick Wins**
List 3 tactical improvements they can implement this week without AI to build organizational momentum.

**Tone & Format:**
Use professional supply chain terminology appropriate for [COMPANY_TYPE]. Include specific numerical examples and industry benchmarks. Format with clear headers, bullet points for readability, and highlighted callout boxes for critical warnings or key decisions.