def calculate_routing_score(warehouse, dest, order):
    # Pesos da Matriz de Decisão (B2B Luxury)
    w_cost, w_time, w_risk = 0.35, 0.25, 0.40

    # 1. Risco de Avaria (ML Model)
    route_qlty = get_highway_status(warehouse, dest)
    fragility = get_fragility(order.items) # ex: Porcelanato=0.89
    breakage_risk = predict_breakage(route_qlty, fragility)

    # 2. Custo Dinâmico de Transporte
    base = calc_distance(warehouse, dest) * FUEL_RATE
    freight_cost = base * driver_scarcity_multiplier()

    # 3. Lead Time Inteligente
    delay = fetch_weather_api() + calc_sefaz_retention()
    lead_time = base_time + delay

    # 4. Score Final (Menor é melhor)
    score = (w_cost * normalize(freight_cost)) + \
            (w_time * normalize(lead_time)) + \
            (w_risk * normalize(breakage_risk))

    return score