Restaurants were losing revenue to conflicts, wasted tables, and missed calls.
Restaurant floor managers were running their evening service on spreadsheets and instinct. Double-bookings from mixed online and walk-in reservations created embarrassing conflicts in front of guests. Tables sat partially empty while large walk-in groups were turned away because no staff could quickly figure out which tables could be merged. During peak service, phone reservations went unanswered — every missed call was a booking lost. Manual 'table tetris' consumed manager attention that should have been on guests.
An autonomous conflict resolution engine with real-time capacity optimization.
Built a real-time floor intelligence platform with three core layers. A conflict detection engine continuously monitors all incoming reservations — online and walk-in — against the live floor state, flagging overlaps the moment they occur. An auto-merge algorithm evaluates available table combinations and instantly seats large groups by combining adjacent tables, broadcasting the resolution to all devices in under 150ms. A predictive capacity engine runs scenario simulations in the background, maintaining occupancy at 94%+ without overbooking. The visual floor planner lets owners drag-and-drop their exact room layout — table shapes, groupings, and capacities — with changes reflecting live across all staff devices via WebSocket sync.
“By treating the floor as a live data problem rather than a manual coordination task, Platz-Halter eliminated the entire class of human errors that cost restaurants covers every service.”
Engineering Core Principle