Executive Market Intelligence Agent

import pandas as pd
from datetime import datetime

def gather_competitor_intel(competitors, keywords):
    """Collect public competitor signals from news & social feeds."""
    signals = []
    for comp in competitors:
        signals.extend(fetch_public_signals(comp, keywords))
    return pd.DataFrame(signals)

def synthesize_brief(intel_df):
    """LLM synthesizes findings into strategic recommendations."""
    trends = detect_market_trends(intel_df)
    threats = rank_competitive_threats(intel_df)
    return {
        'trends': trends,
        'threats': threats,
        'recommendations': generate_actions(trends, threats)
    }

def update_executive_dashboard(brief):
    push_to_dashboard(brief)
    notify_ceo_whatsapp(brief['summary'])