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Implement subscription price optimization engine #210

@Smartdevs17

Description

@Smartdevs17

Implement subscription price optimization engine

Description

Context: Dynamic pricing based on demand, competition, and subscriber value maximizes revenue.

Current Limitation: Static pricing only.

Expected Outcome: Implement AI-powered price optimization.

Acceptance Criteria

  • Implement pricing model with factors
  • Add demand-based price adjustments
  • Support competitor price tracking
  • Implement subscriber willingness-to-pay estimation
  • Add A/B testing for prices
  • Support price floor/ceiling limits
  • Create pricing dashboard UI

Technical Scope

Files Likely Affected:

  • backend/ml/pricingModel.py - New pricing module
  • backend/services/pricingService.ts - Pricing API
  • app/screens/PricingOptimizationScreen.tsx

APIs/Contracts Involved:

  • calculate_optimal_price(subscription_id: SubscriptionId) -> Price
  • get_price_recommendations(plan_id: PlanId) -> Vec<PriceRecommendation>

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Stellar WaveIssues in the Stellar wave programenhancementNew feature or requestfeatureNew feature request

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