genpark-accio-market-intelligence

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SUMMARY

GenPark Distilled Skill: accio-market-intelligence

README.md

genpark-accio-market-intelligence

Tests
License
Python
Dependencies
Coverage

GenPark Accio Market Intelligence is a zero-dependency e-commerce pricing and competitive intelligence engine implementing market price dispersion variance and Z-score analytics, arc midpoint price elasticity of demand (PED) modeling, and supply chain lead-time volatility buffer calculations.

flowchart LR
    A[Competitor Price Stream] --> B[Dispersion & Z-Score Engine]
    B --> C[Market Positioning & Spread Metric]
    D[Historical Price-Quantity Pairs] --> E[Arc Midpoint Elasticity Formula]
    E --> F[Elastic / Inelastic Revenue Projection]
    G[Lead Time Days Distribution] --> H[Stochastic Buffer Model]
    H --> I[Safety Buffer Days & Risk Rating]

Features

  • Price Dispersion & Z-Score: Evaluates competitive pricing distributions, standard deviation, and quartile spreads.
  • Arc Midpoint Elasticity (PED): Quantifies volume sensitivity to pricing adjustments and computes prospective revenue impact curves.
  • Supply Chain Lead-Time Risk: Projects required safety stock buffer days based on supplier historical variance and reliability scores.

Quickstart

from client import GenParkAccioMarketIntelligence

intel = GenParkAccioMarketIntelligence()
res = intel.calculate_market_price_dispersion_and_variance([39.99, 44.50, 49.00, 52.50, 59.99], 49.00)
print("Market Position:", res["market_position"], "Z-Score:", res["baseline_z_score"])

License

MIT

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