Prep timing is guesswork.
Too early and the chai's tepid. Too late and you lose covers. We learn the 15-minute windows when each item surges and nudge you to pre-boil, pre-cut, or fire the tandoor — before the rush lands.
Every restaurant has a rhythm: the tea spike at 4:10, the dinner pre-load at 7:45, the Monday lull. signall.store learns yours from your billing and tells you what to prep, how much, and exactly when to start.
Too early and the chai's tepid. Too late and you lose covers. We learn the 15-minute windows when each item surges and nudge you to pre-boil, pre-cut, or fire the tandoor — before the rush lands.
A batch of dal you made for dinner that ended up in staff meal isn't on anyone's radar — until margins start slipping. We cross-reference your prep log with covers served and flag the mismatch.
The thali everyone orders on Tuesday subsidizes the specials nobody's buying. We show you which combo actually makes money after food cost — and which one is just busy work.
Twenty covers in a slow hour and sixty in a rush — but are you turning tables at peak, or are they sitting on the bill? We track the gap between order-placed and bill-paid, per table, per session.
Yes. Aggregator orders feed into the same rhythm engine. We distinguish dine-in, take-away, and delivery so your signals are accurate for each channel.
Yes — in fact, small tea and snack shops see the clearest rhythm signals because demand is tightly tied to time-of-day. The 4pm chai spike is a classic example.
It can tell you which items have slowing demand, which combos are under-performing, and which days of the week would benefit from a special. The call is still yours.
No. We read from your existing POS — whether that's Petpooja, Limetray, Posist, or your own Excel.
We don't schedule staff directly, but we surface the hour-by-hour demand pattern so you can schedule with confidence. Automatic scheduling is on the roadmap.
Free during private beta. Five-minute setup. Works with your current billing — no new till, no new hardware.