Construction cash inflows are characterized by seasonality, which often leads to inefficiencies in resource utilization and financial instability. The goal is to minimize monthly cash flow variability while satisfying resource constraints and financial efficiencies. This paper proposes a novel cash inflow curve flattening framework by integrating Termite Life Cycle Optimizer (TLCO), a bio-inspired metaheuristic algorithm, to optimize project selection by flattening the cash flow curve. The results show that TLCO performs well in this problem, with good experimental results and better convergence than traditional algorithms. The study combines optimization with 03 simulation scenarios on investment in analytical technology, resulting in visualization with high positive impact. The proposed model provides construction companies with a powerful analytical tool to support decisions to stabilize cash flows, reduce dependence on external financing, and support long-term sustainability.