Chairs full. Nobody chasing.

Running one location is one job. Running four is a different job. Two staff called in sick overnight. Leeds is short. Manchester queue is out the door. Pomade is low across the two Southern shops. A Google review at Liverpool needs a warm reply before you close.

BarberHQ is FallHub configured for multi-location chains. The AI shuffles the rota — sends covering-shift requests via WhatsApp, confirms yes-answers. Smooths the Manchester queue by offering nearby-booked customers a discount for tomorrow. Reorders stock across locations. Drafts the Liverpool review reply in your warm voice, by-name to the barber who cut it.

You spent the day on the floor, not on your phone.

BarberHQ's kernel is a chain kernel — one central config with N location sub-configs. Each location has its own hours, chair count, staff roster, walk-in policy, stock levels, review platform IDs. The service menu, price sheet, and loyalty rules are shared across the chain.

The AI reads the specific location's sub-kernel when handling a shop-specific query. Global changes propagate — bump the classic-cut price and every location updates. Local changes stay local — Leeds's walk-in policy doesn't touch Manchester.

Adding a location is one JSON block. The AI immediately starts routing customers to it, tracks its stock, responds to its reviews.

// chain kernel · abridged
{
  "chain": {
    "name": "Fadeworks",
    "loyalty": {
      "punch_card_size": 6,
      "reward": "free cut"
    }
  },
  "locations": [
    {
      "id": "manchester_central",
      "chairs": 6,
      "walk_in": true,
      "hours": "09-19 · Mon-Sat"
    },
    {
      "id": "leeds_arndale",
      "chairs": 4,
      "walk_in": false
    }
  ],
  "services": [
    { "name": "classic cut",
      "minutes": 30,
      "gbp": 22 }
  ]
}