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genpark-sales-agent

mcp
Guvenlik Denetimi
Uyari
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  • License — License: MIT
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  • Active repo — Last push 0 days ago
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SUMMARY

Autonomous outbound B2B sales development representative.

README.md

genpark-sales-agent

Tests
License
Python
Dependencies
Coverage

GenPark Sales Agent is a zero-dependency B2B revenue and commercial negotiation engine implementing BANT and MEDDIC multi-criteria lead scoring, margin-bounded price elasticity discount ceiling solving, and pipeline velocity forecasting with stage dwell-time slippage detection.

flowchart TD
    A[B2B Lead Attributes] --> B[BANT & MEDDIC Matrix Evaluator]
    B --> C[Composite Qualification Score & Action]
    D[Contract Size & Hurdle Margin] --> E[Elasticity Discount Solver]
    E --> F[Margin-Preserving Discount Ceiling]
    G[Pipeline Deal Stages & Cycle Days] --> H[Pipeline Velocity Equation]
    H --> I[Quarter Revenue Forecast & Slippage Alert]

Features

  • BANT + MEDDIC Qualification: Computes structured 0-100 lead scores mapping deals to SQL, SAL, and automated nurture paths.
  • Discount Ceiling Optimizer: Calculates maximum permissible pricing concessions ensuring gross margins never breach hurdle rates.
  • Pipeline Velocity Forecaster: Models revenue velocity $V = (N \times W \times S) / L$ and automatically alerts on stage stall slippage.

Quickstart

from client import GenParkSalesAgent

agent = GenParkSalesAgent()
res = agent.calculate_price_elasticity_and_discount_ceiling(100000.0, "enterprise", competitor_pressure_score=0.6)
print("Recommended Discount:", res["recommended_discount_pct"], "%")

License

MIT

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