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
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>
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
Technical Scope
Files Likely Affected:
backend/ml/pricingModel.py- New pricing modulebackend/services/pricingService.ts- Pricing APIapp/screens/PricingOptimizationScreen.tsxAPIs/Contracts Involved:
calculate_optimal_price(subscription_id: SubscriptionId) -> Priceget_price_recommendations(plan_id: PlanId) -> Vec<PriceRecommendation>