This paper presents a computer-aided proof of a novel approach to constructing a new upper bound for the Euclidean Traveling Salesman Problem (TSP) Constant, leveraging numerical methods and decision trees. While the improvement achieved is modest, the approach offers a key advantage: it is primarily constrained by computer hardware, making it highly amenable to further optimization and advancements over time.