First, for the for the submodular $k$-secretary problem with shortlists [1], we provide a near optimal $1-1/e-ε$ approximation using shortlist of size $O(k poly(1/ε))$. In particular, we improve the size of shortlist used in \cite{us} from $O(k 2^{poly(1/ε)})$ to $O(k poly(1/ε))$. As a result, we provide a near optimal approximation algorithm for random-order streaming of monotone submodular functions under cardinality constraints, using memory $O(k poly(1/ε))$. It exponentially improves the running time and memory of \cite{us} in terms of $1/ε$. Next we generalize the problem to matroid constraints, which we refer to as submodular matroid secretary problem with shortlists. It is a variant of the \textit{matroid secretary problem} \cite{feldman2014simple}, in which the algorithm is allowed to have a shortlist. We design an algorithm that achieves a $\frac{1}{2}(1-1/e^2 -ε)$ competitive ratio for any constant $ε>0$, using a shortlist of size $O(k poly(\frac{1}ε))$. Moreover, we generalize our results to the case of $p$-matchoid constraints and give a $\frac{1}{p+1}(1-1/e^{p+1}-ε)$ approximation using shortlist of size $O(k poly(\frac{1}ε))$. It asymptotically approaches the best known offline guarantee $\frac{1}{p+1}$ [22]. Furthermore, we show that our algorithms can be implemented in the streaming setting using $O(k poly(\frac{1}ε))$ memory.