— Agent · for the COO · Owner
Void Hunter.
One name above the peer band.
Voids vs each store's own peer median, by store and by name. The pattern, not the verdict — the next step is a 5-minute review of the names flagged.
— What it catches
The signals.
- •Voids vs each store's own peer median (not industry benchmark)
- •Per-store + per-name void rate, flagged if > 1.5× peer median
- •Annualized excess-vs-peer dollar amount
- •Pattern detection — not verdict
— Data it needs
The input.
Employee performance CSV (Toast / Square / Clover / PDQ) with Location, Employee, Net Sales, Void Amount columns. Or a live POS connection.
— What you'll see
The output.
KPI strip · per-store table sorted by void rate · top-15 names sorted by void $.
— Sample signal
Mall Drive @ 3.36% void rate · 2.4× peer median · $14,840 annualized excess.
— POS support
Works with your stack.
Toast · Square · Clover · PDQ (CSV today) · Toast OAuth in approval
Don't see your POS? Drop a CSV at /trial — the parser auto-detects most column shapes. Or join the integration waitlist and we'll email you the moment the OAuth ships.