This research develops an algorithmic framework to proactively bundle small transportation projects, increasing contractor competition and reducing costs. Using a decade of Tennessee DOT data, it identifies optimal project groupings and flags combinations that reduce efficiency. Bundling improves value for agencies, contractors, and taxpayers, addressing significant waste in current procurement systems.