genpark-amazon-market-analyzer

GenPark Amazon Market Analyzer is a zero-dependency Amazon seller performance and listing optimization engine implementing logistic Buy Box win probability modeling, multi-tier FBA vs FBM unit cost and margin arbitration, and organic review-to-sales velocity anomaly fraud detection.

flowchart TD
    A[Seller Price, FBA Status & Rating] --> B[Buy Box Logistic Model]
    B --> C[Win Probability & Price Recommendation]
    D[Selling Price, Item Weight & COGS] --> E[FBA vs FBM Fee Engine]
    E --> F[Net Margin Comparison & Fulfillment Choice]
    G[30-Day Reviews & Sales Units] --> H[Review Velocity Rate Auditor]
    H --> I[Organic Compliance Risk Assessment]

Features

• Buy Box Win Predictor: Models capture likelihood based on relative price delta, Prime fulfillment, and merchant feedback score.
• FBA vs FBM Profit Arbitrage: Evaluates Amazon pick-and-pack fee schedules against merchant shipping costs to maximize unit profit.
• Review Velocity Fraud Auditor: Benchmarks review conversion rates against organic e-commerce averages to prevent listing suppression.

Quickstart

from client import GenParkAmazonMarketAnalyzer

analyzer = GenParkAmazonMarketAnalyzer()
res = analyzer.predict_buy_box_win_probability(29.99, 29.99, is_fba=True)
print("Buy Box Win Probability:", res["buy_box_win_probability_pct"], "%")

License

MIT