def calculate_vendor_score(delay_percent, qa_incidents, safety_compliance, feedback_score):
    # Weighted scoring logic (example weights as per PMO agreement)
    quality_weight = 0.4
    timeliness_weight = 0.3
    safety_weight = 0.2
    communication_weight = 0.1
    
    # Calculate individual scores (scale to 100)
    quality_score = (1 - qa_incidents / 10) * 100  # Example: Fewer incidents = higher score
    timeliness_score = (1 - delay_percent / 100) * 100  # Example: Less delay = higher score
    safety_score = safety_compliance * 100  # Compliance % directly maps to score
    communication_score = feedback_score * 20  # Feedback (1-5 scale) to 100
    
    # Final weighted score
    final_score = (
        quality_score * quality_weight +
        timeliness_score * timeliness_weight +
        safety_score * safety_weight +
        communication_score * communication_weight
    )
    
    # Trend detection (dummy logic for now, can enhance later)
    trend_deviation = 0  # Placeholder (compare with previous month if available)
    
    # Alert flag (if final score < 60, flag as risk)
    alert_flag = final_score < 60
    
    # JSON response
    return {
        "quality_score": round(quality_score, 2),
        "timeliness_score": round(timeliness_score, 2),
        "safety_score": round(safety_score, 2),
        "communication_score": round(communication_score, 2),
        "final_score": round(final_score, 2),
        "trend_deviation": trend_deviation,
        "alert_flag": alert_flag
    }