One system forthe whole franchise

A multi-store operations platform — head office, stores and staff on one system: scheduling, HR, checklists, recipe costing, supplier invoices, inventory, ordering and reports. Designed, built and run by AIO.

SystemAutomationAI · invoice reading
Built for
Head office · stores · staff
Runs on
Web · store tablet · staff phone app
Status
Live — piloting with a four-store café brand
22.7%
labour cost for the week, against a 28% target
$4.63
cost of a 10-piece box, loss included
3
supplier price changes caught on one invoice
−93 h
coverage gap shown before the week is published

Example numbers from the demo brand shown on this page — not a client’s.

[ The problem ]

Multi-store operators run on a patchwork: a scheduling app, the POS, spreadsheets for recipe costs, paper checklists, group chats — and an accountant who sees the numbers a month late.

  • 01Food cost is a guess until month-end
  • 02Every store opens and closes its own way
  • 03Supplier price changes are noticed months later
  • 04Schedules are written without sales in mind

What we built

[ Real screens ]
AIO Franchise OS schedule board with hours, labour cost, forecast sales and coverage
[ Real screens · Korean demo data ]
01

Schedules against expected sales

Hours, labour cost, forecast sales and coverage gaps sit above the board while the manager plans — and a draft can be filled automatically.

AIO Team staff app home: today's shift, an announcement to confirm and two tasks
[ Real screens · Korean demo data ]
02

A phone app for staff

Each person sees their shift, what needs them now and the announcements to confirm — no group chat to scroll through.

Recipe costing for a chicken box: ingredients, yields and cost per size
[ Real screens · Korean demo data ]
03

Every menu item costed

Recipes built from real invoice prices, by size, with a loss allowance — so food cost is known before month-end.

Three supplier price changes read from an invoice, each waiting for a decision
[ Real screens · Korean demo data ]
04

Invoices read, price changes flagged

AI reads supplier invoices; only the lines whose price changed wait for a person to keep or apply.

Store tablet board showing today's checklists and their times
[ Real screens · Korean demo data ]
05

A tablet on the store wall

Opening and closing lists, temperatures, counts and deliveries — done on the tablet with a PIN, with photos where it matters.

System, automation, AI

[ What does what ]
System
  • One database for head office, stores and staff, with roles and an audit trail
  • Web console, store tablet and staff phone app on the same records
  • POS sales and labour pulled in for every store
Automation
  • Schedule drafts from availability and expected demand
  • Opening and closing tasks that open, remind and escalate on their own
  • Weekly report numbers filled in for every store
  • Supplier price-change alerts and reorder drafts
AI
  • Reads supplier invoices — PDF or photo — into lines and prices
  • Turns a manual or photos into a step-by-step procedure draft
[ Status ]

Live and in daily use at the pilot brand; new modules ship in small releases.

[ Built with ]
  • Next.js
  • Supabase · Postgres with row-level security
  • Stripe Billing
  • POS connectors
  • Web push
  • Claude (document reading)

Want something
like this

A 30-minute call. We ask how the work gets done today and tell you honestly whether a system would pay for itself.