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Your Roster Is
Costing You Every Shift
ratio reduction
from peak optimization
to first impact
The Situation
Across a 160-location convenience retail network in Indonesia, every shift is staffed the same way: three staff on, regardless of the hour. The result is two losses happening at once: wasted labour in quiet windows, and under-served customers during peaks. Neither shows up in a standard rostering tool.
The Gap
Drift hidden in paper
Flat rostering doesn't respond to actual footfall or revenue by hour.
Maintenance reacts, doesn’t predict
The cost is real but invisible: modeled at IDR 8.98M per store per month, or IDR 1.44B across the network.
Wastage disconnected from cause
The scheduling tool has no way to compare planned staffing against demand before the roster is published.
What TreeAMS Would Add
TreeAMS is not a replacement scheduling tool, the existing platform stays in place. TreeAMS connects above it via API, reading planned rosters and comparing them against POS demand signals, then returning a recommendation before the roster is published.
What This Is Projected to Deliver
A 3–5 percentage point reduction in labour cost ratio
8%+ revenue uplift from better peak-window staffing
First measurable impact expected within 8 weeks of connecting data sources
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.
More Use Cases
Stop Losing Margin to Silent
Cold Chain Failures
A 50-outlet convenience retail chain connected temperature checks to maintenance and wastage data, catching equipment drift days before it hit margin. Wastage dropped 16% in 90 days, with drift caught 14x faster.
Catch Under-Ordering, Over-
Ordering & Late Payments Before
They Cost You
A franchisor running corporate and franchisee outlets side by side couldn't see order and payment risk until quarter-end. Connecting orders, sales, and payments surfaced leakage weeks earlier, across every outlet.
Know Within 24 Hours Which Stores
Actually Launched Your Promo
A convenience retail operator had no way to know if a promo actually launched until sales data arrived days later. Photo-verified execution cut that blind spot to 24 hours, lifting compliance from 41% to 92%.