⚡ Mainframe
Ghost Kitchen · LA · ready to deploy

Dinner service. 4 brands, 1 kitchen, 1 screen.

Every delivery order from every platform lands in one rail. Prep times, promo-fire, and margin per brand — in one view.

1,114,909 APIs·140× Zapier·100% AI-built
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Live KPIs · pre-wired
The numbers that tell you which brand is carrying the kitchen.
Orders Tonight
412
Across 4 brands
Revenue MTD
$184,600
+$28K vs last mo
Avg Prep Time
9.4 min
Under 11-min SLA
Top Brand Margin
38%
Korean wings
Platform Rating
4.7 ★
All platforms avg
AI workflows · running four brands at once
Three automations that replace a second GM.
1
DoorDash/Uber/Grubhub order → unified rail → expo screen
Every order from every platform lands on one Toast-connected expo screen, sorted by brand and prep time. No more three tablets and three pings.
2
Slow hour detected → platform promo fires on weakest brand
Orders drop below threshold on one brand, AI pushes a 15%-off promo on DoorDash and Uber Eats for that menu only. Volume rebalances without cannibalizing the winners.
3
Order closed → per-brand P&L updated → margin alert
Every completed order books COGS, commission, and packaging against its brand. If any brand drops under 22% margin for 3 days, alert fires with menu rework suggestions.
APIs · already wired
Every system this template runs on.
ToastDoorDashUber Eats GrubhubSquareStripe TwilioQuickBooks

Four brands, one mission control.

60 seconds to fork. No keys. No configs. No signup.

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Mainframe·Templates·Catalog·Pricing
Every API. Every AI. One brain.