Trackman now ships an AI layer that ranks practice priorities automatically.

Tracy ingests Trackman radar data and applies classification models to flag swing faults. It produces ranked drill lists that target the largest dispersion or launch-angle errors. Coaches receive the same list with suggested corrective cues.

Range sessions move from random repetition to focused micro-goals. Time allocation follows quantitative error magnitude instead of gut feel. Progress tracking replaces anecdotal improvement notes.

Trackman deploys Tracy inside its commercial launch-monitor units. Teaching professionals report tighter dispersion clusters after two weeks of Tracy-guided sessions.