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6 to 41 Outlets Across
4 Countries, One Operational View
time (45d → 21d)
downtime
sync rate
The Situation
A healthy-food QSR chain running 7 outlets in Singapore was preparing to scale to 41 outlets across Singapore, the Philippines, Indonesia, and Thailand within 12 months. At 7 outlets, the Head of Operations could personally see what was happening everywhere. But as the chain scaled toward 41 outlets across four countries, that level of visibility would no longer be possible. Every outlet runs on a tight peak-hour window where kiosk orders, five delivery platforms, and corporate pre-orders all hit the kitchen at once.
The Gap
Drift hidden in paper
Peak hours (11am–2:30pm) drive 68% of daily revenue, but maintaining real-time oversight across every outlet becomes increasingly difficult as the network scales.
Maintenance reacts, doesn’t predict
Orders from five delivery platforms arrive simultaneously, making it hard to prioritise urgent and corporate orders.
Wastage disconnected from cause
With 34 ingredient SKUs from multiple vendors, one late delivery can disrupt the lunch menu. Especially at a brand-new outlet.
Compliance risk in a binder
The best-performing outlet averages a 1:52 prep time, but new outlets have no shared benchmark or playbook to reach it.
What Changed
TreeAMS unified POS, kiosk, five delivery platforms, loyalty data, and IoT prep-station sensors into a single live view. Every outlet, new or established, is benchmarked against the same 20-KPI framework from Day 1, with automatic escalation the moment three KPIs drift out of range at once.
The Result
New outlets now hit performance benchmark in 21 days, down from 45
Delivery-app sync rate up from 87%to 98%
Peak-hour equipment downtime down 96%, mean repair time cut from 4 hours to 11 minutes
See What This Looks Like on Your Outlets
Tell us about your network. We’ll show you what TreeAMS could connect,
what patterns might surface, and what the first 90 days could look like.
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