A scout troop has forty leftover camp badges to sell at a one-day rummage sale. A vendor proposes cameras, three months of labeling, and a model that might raise the sell-through guess by a few badges. Camera gear and labeling would cost more than the leftover inventory is worth. Which action should the troop take?

Cost-benefit is a stated reason to decline machine learning when collection and modeling cost more than the decision is worth. Here the leftover inventory is worth less than cameras and three months of labeling, so a slightly better guess cannot pay for the project. A neural network does not recover that spend by itself. Random sale-day prices still ignore the cost problem.