
    Given a list of delivery route efficiency scores, determine the highest possible combined efficiency rating achievable by selecting compatible route segments that follow an increasing order of complexity. Compatible segments are those where each subsequent segment has a higher efficiency score than the previous one, and their product represents the overall route optimization potential.
    

    
def max_product(arr):
    """
    Given a list of delivery route efficiency scores, determine the highest possible combined efficiency rating achievable by selecting compatible route segments that follow an increasing order of complexity. Compatible segments are those where each subsequent segment has a higher efficiency score than the previous one, and their product represents the overall route optimization potential.
    

    """
def max_product(arr):
    """
    Given a list of delivery route efficiency scores, determine the highest possible combined efficiency rating achievable by selecting compatible route segments that follow an increasing order of complexity. Compatible segments are those where each subsequent segment has a higher efficiency score than the previous one, and their product represents the overall route optimization potential.
    

    """
    n = len(arr)
    mpis = arr[:]
    for i in range(n):
        current_prod = arr[i]
        j = i + 1
        while j < n:
            if arr[j - 1] > arr[j]:
                break
            current_prod *= arr[j]
            if current_prod > mpis[j]:
                mpis[j] = current_prod
            j = j + 1
    return max(mpis)