
    Given a list of route metrics where each route segment is represented by paired values of delivery time and fuel consumption, write a function to identify the route segment with the lowest efficiency score, calculated as the product of its paired metrics. The function should help dispatchers quickly identify the most optimal route segment when planning deliveries by comparing these efficiency scores across all available route options.
    

    
def min_product_tuple(list1):
    """
    Given a list of route metrics where each route segment is represented by paired values of delivery time and fuel consumption, write a function to identify the route segment with the lowest efficiency score, calculated as the product of its paired metrics. The function should help dispatchers quickly identify the most optimal route segment when planning deliveries by comparing these efficiency scores across all available route options.
    

    """
def min_product_tuple(list1):
    """
    Given a list of route metrics where each route segment is represented by paired values of delivery time and fuel consumption, write a function to identify the route segment with the lowest efficiency score, calculated as the product of its paired metrics. The function should help dispatchers quickly identify the most optimal route segment when planning deliveries by comparing these efficiency scores across all available route options.
    

    """
    result_min = min([abs(x * y) for (x, y) in list1])
    return result_min