What our AI advisor actually looks at every night

Every night, after the last court closes, Courtlines pulls the last 30 days of your club’s numbers — revenue by time slot, fill rate by court, membership churn, refund volume — and hands it to an AI model with one job: find the three things worth your attention tomorrow morning.

It doesn’t just flag anomalies. Each recommendation comes with a plain-English reason, a dollar estimate, and a confidence score, so you can tell the difference between "worth trying today" and "keep an eye on this." A recommendation to reopen a Thursday evening slot as a clinic, for example, shows up because that window’s fill rate has quietly dropped over three straight weeks — not because a number crossed some arbitrary threshold.

We built this because we got tired of staring at our own dashboard at Pickleland ATX trying to figure out what actually mattered. Most club software gives you charts. We wanted something that read the charts for us and told us what to do about it.

It’s not magic and it’s not autonomous — the advisor never changes a price or sends an email on its own. It hands you three moves; you decide which ones, if any, to make. That’s deliberate. The judgment stays with you; the digging doesn’t have to.