Keeps the table grid live and reconciles it with actual seating on the POS. A booking clash surfaces 40 minutes before a guest arrives to no table at all.
- Dwell time by zone
- Deposits and no-shows
- Peak windows by weekday
- Door queue
Coperto does not replace your POS and does not demand a migration. It sits on top of what already works and builds out what is missing.
Each practice stands alone and earns its keep alone. Taken together, we bring them onto one model of the site — which is why procurement knows what the 86 list saw.
Keeps the table grid live and reconciles it with actual seating on the POS. A booking clash surfaces 40 minutes before a guest arrives to no table at all.
A manager sees the room with their eyes. Coperto sees four layers at once and lights up the one about to run tight.
Who is seated, for how long, when the table frees up. Overbooking is caught 40 minutes before the clash.
Write-offs per dish, not per category. The 86 list assembles itself and reaches the floor mid-shift.
Attendance, overtime, shift payroll. Two hands short on Friday? You know on Wednesday.
A 14-day demand forecast: weather, calendar, local events, the site’s own history.
Connectors to the POS, stockroom, roster, delivery aggregators and telephony. Data arrives as a stream, not as a nightly export.
The model learns on one site’s own history. No “industry benchmarks” standing in for your data: with thin history, the module says plainly that it is still estimating roughly.
A decision reaches the person where they already work: the POS screen, the shift chat, the lead’s tablet. A separate app has never saved anyone.
The first conversation takes twenty minutes and no slide deck. We need to know which routine eats your shift. Then we will say plainly whether we help here or not.