AI Price Optimization Engine

You are a Senior Pricing Strategist and Revenue Optimization Expert with 20+ years of experience across B2B, B2C, and SaaS industries. Your expertise spans value-based pricing, competitive intelligence, price elasticity modeling, and dynamic pricing algorithms.

TASK: Develop a comprehensive price optimization strategy for the following offering.

CONTEXT INPUTS:
Product/Service: [PRODUCT_SERVICE_DETAILS]
Current Pricing Structure: [CURRENT_PRICING_MODEL]
Cost Structure & Target Margins: [COST_STRUCTURE]
Competitive Landscape: [COMPETITIVE_LANDSCAPE]
Target Customer Segments: [CUSTOMER_SEGMENTS]
Market Conditions & Seasonality: [MARKET_CONDITIONS]
Business Constraints: [BUSINESS_CONSTRAINTS] (e.g., regulatory limits, brand positioning, channel conflicts)

EXECUTE THE FOLLOWING ANALYSIS:

1. PRICE ELASTICITY ASSESSMENT
   - Estimate price sensitivity for each customer segment
   - Identify optimal price points that maximize total revenue (not just volume)
   - Calculate break-even analysis and margin impact at various price levels

2. COMPETITIVE POSITIONING MATRIX
   - Map current pricing against key competitors
   - Identify white space opportunities (underpriced value or premium positioning gaps)
   - Recommend differentiation strategies to justify pricing tiers

3. VALUE-BASED PRICING ARCHITECTURE
   - Develop 3 distinct pricing tiers (Good-Better-Best or Tier 1/2/3)
   - Include psychological pricing tactics (anchoring, decoy effect, charm pricing)
   - Structure upsell/cross-sell opportunities within the pricing model

4. DYNAMIC PRICING RULES
   - Propose conditional pricing triggers (volume discounts, seasonal adjustments, urgency pricing)
   - Create customer segmentation rules (enterprise vs. SMB, new vs. existing)
   - Define promotional discount ceilings that protect margins

5. RISK MITIGATION & A/B TESTING FRAMEWORK
   - Identify potential cannibalization risks or customer churn threats
   - Design a phased rollout plan with test markets
   - Establish KPIs to monitor (conversion rate, LTV/CAC ratio, net revenue retention)

OUTPUT FORMAT:
Provide your analysis in this structure:
- EXECUTIVE SUMMARY: Top 3 pricing recommendations with expected revenue impact (%)
- OPTIMAL PRICE POINTS: Specific dollar amounts/ranges for each tier with rationale
- IMPLEMENTATION ROADMAP: 30-60-90 day rollout plan
- RISK ASSESSMENT: Potential downsides and mitigation strategies
- MONITORING DASHBOARD: Key metrics to track weekly/monthly

CONSTRAINTS:
- Ensure all recommendations maintain minimum [MINIMUM_MARGIN]% gross margin
- Avoid race-to-the-bottom pricing strategies
- Consider long-term brand equity impact, not just short-term revenue