Auto-Tune builds a behavioural model of your floor from real display telemetry — which screens carried which matchups, and how consistently — then infers tonight's plan against an AI-ranked card of what's actually on. One click, preview first, no manual tuning.
Six signals, one plan — assembled automatically, scored for confidence, and never applied without you.
Tonight's card is ranked for your market, then matched positionally against your floor's history — the #1 game inherits the screens that carried last week's #1, and so on down the slate.
The model is built from real display telemetry — what genuinely played where, not what someone once configured. No rules engine to write, no channel maps to maintain, and it re-trains itself every week as the lookback window rolls forward.
Every mapping carries how strong the evidence behind it is — days-aired across the lookback — so a six-of-seven pattern and a one-off never look alike on the page.
The engine proposes; you dispose. Every event, channel, input and target TV is laid out for review, and nothing on a screen changes until you say go.
Infers which tuner has historically carried that network, then detects input contention across the whole plan and surfaces it before it bites — not at kickoff.
Thin history for a matchup? Rather than guess, it falls back to the network's usual screens and labels the plan as a network match — coverage never gaps, and you can always see which basis was used.
Re-running replaces the plan instead of stacking duplicate tunes — so you can re-generate as the card changes through the day without ever fighting yourself.
Where Armada Analytics is measuring the room, the plan can weight toward the programming that actually filled each corner — the floor's own attendance, fed back into what it shows.
GameViewYour Venue · tonight's plan, ready to review
Open Auto-Tune, hit Replay last week, and the engine assembles tonight's plan in a second — inferring every game's tuner, channel and target screens from your own coverage history, resolving input contention across the whole floor, and scoring each decision so you can see what it is confident about. Review it, tweak any target, and apply.