Restaurants
Every location decideslike your best one.
POS, kiosk, delivery, and staffing data resolve into one model per location, so tonight's prep and tomorrow's schedule stop being guesses.
What’s connected
Every surface writes into one model.
D · 01POSTransactions, voids, and turnover as live entities.
D · 02KioskOrder sessions and menu performance, per daypart.
D · 03DeliveryEvery channel's orders in the same graph as dine-in.
D · 04InventoryStock levels linked to what orders actually consume.
D · 05StaffingRosters reconciled against demand, not habit.
D · 06ChannelsDecisions land in Slack, not another dashboard.
How it works
01
The day is modeled
Sales, prep, and staffing land in one typed graph per location. Entity resolution matches items and customers across POS, kiosk, and delivery channels that never agreed.
02
Demand is read
The ontology relates weather, daypart, and channel mix to what each location will actually need, hours ahead.
03
The call is made
Prep quantities, restock triggers, and schedule changes leave the model as actions, a message to the manager, an updated roster, a purchase order draft.
The playbook of your best operator, running at every location at once.