Dynamic Pricing Agent

WHAT IT DOES

Competitive intelligence-driven dynamic pricing. Three-input pricing model: (1) Competitor intelligence — monitors competitor prices via scraping + price tracking APIs, detects price changes in near-real-time, tracks MAP compliance. (2) Demand signals — models price elasticity per SKU using historical sales + price data, factors in seasonality, inventory velocity, and cross-product cannibalization effects. (3) Business rules — minimum margin floors, MAP compliance, maximum price change frequency, competitor-relative positioning rules (e.g., "always 5% below Amazon"). Outputs recommended prices with expected margin and volume impact. Human approves all price changes above threshold. Market context: AI price optimization improves margins 10-15% and conversion 20-30%.

WORKFLOW

1. Monitor competitor prices (scraping + APIs)
2. Detect changes
3. Model elasticity per SKU
4. Factor inventory + seasonality + cannibalization
5. Apply business rules (margin floors, MAP, frequency)
6. Recommend prices with impact forecast
7. Human approval above threshold
8. Execute
9. Monitor results

SKILLS

INTEGRATIONS