TableIQ reads time-to-first-drink, greet, check-drop, and empty-glass dwell off the cameras and POS you already run, then rolls them up across all your bars so you can rank locations side by side.
You can't compare bars you can't measure
First-drink speed and bar turn times decide guest experience and covers, but most operators only learn a bar is slow from a bad review or a soft sales number. Across five locations, there's no shared, objective number to rank against.
POS and KDS never see the floor
Your POS knows when a drink was rung and your KDS knows when the bar bumped it, but neither knows when the guest sat down, got greeted, or actually received the drink. Checklist apps rely on staff self-reporting, which goes blank exactly when a bar gets slammed.
Measure it off the cameras you already have
TableIQ reads greet, first-drink, check-drop, and empty-glass dwell directly from existing CCTV and pairs them with POS ring times, then rolls every location into one ranked view. No new hardware, no staff input, and typically 80-90% of seats measurable on day one.
What operators ask
TableIQ turns the security cameras and POS already installed in your bars into objective speed-of-service measurement. A timer starts when a drink is rung into POS and ends when a vision-language model sees it reach the guest. Floor and bar events — greet, seat, first-drink, check-drop, empty-glass dwell, bar seat turns — are read directly from existing CCTV, so time-to-first-drink needs no POS wait at all. Multiple cameras on one bar top are de-duped automatically. Typically 80-90% of seats are measurable on day one, and human reviewers validate the AI's accuracy in the first week. Reports roll up across every location with role-based views for owners, GMs, and regional directors, so you can rank bars on first-drink speed and turn times instead of guessing. You can also run retroactive investigations: pull POS plus camera to diagnose a slow Friday or a bad review. Pricing is per metric, per location, with a free first-month pilot. It works alongside your POS, KDS, and scheduler — it does not replace them.
Frequently asked questions
The prerequisite is measuring every location the same way — which rules out self-reported numbers and KDS bumps, since each store games or configures them differently. TableIQ times the same camera-visible events (first-drink delivery, ring-to-hand-off) at every bar, so the cross-location leaderboard compares like with like, by daypart and shift.
That's the question the rollup answers directly: time-to-first-drink and bar turn metrics are ranked worst-first by location and shift, so the outlier store — and the specific Friday-night shift dragging it down — is visible on one screen instead of discovered anecdotally.
Bar turn time is throughput at the bar top: how long a seated party occupies a bar seat from arrival to departure, and how quickly the seat refills. Cameras read it directly — seat occupied, seat vacated, seat reset — which no POS can see because the POS only knows when items were rung.
Not from the floor. The clock starts at a POS event and stops at a visually detected delivery, so there's no button to bump early, no count to under-enter, and no self-report to pencil-whip. That's the core difference from KDS times and manual logs, and it's why the numbers hold up in cross-location comparisons.
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