Margyn
An AI smart scale at the pass — order accuracy checked before the bag leaves the counter.
Orders go out wrong, and margin goes with them.
A smart scale that catches wrong orders before handover. Here is what changes when MARGYN is in place.
Wrong orders are discovered by the customer, not the kitchen. Every remake, refund and goodwill gesture is margin already spent — and nobody can tell you which items, which shifts or which sites are leaking it.
Weight is a signal nobody was reading. MARGYN learns what a correct order weighs — by item, by combination, by site — and flags the mismatch in the seconds before handover. Then it writes the pattern back, so you find out that one SKU on the late shift is where the margin goes.
Four steps, one brain.
Every step runs on GENIUX, so MARGYN uses your data, your definitions and your permissions from day one.
- 01
Weigh
The AI scale sits at the pass and weighs every order before it is bagged.
- 02
Compare
MARGYN knows what a correct order weighs — by item, by combination, by site.
- 03
Flag
A mismatch is flagged in the seconds before handover, while it can still be fixed.
- 04
Write back
Every miss is logged by item, shift and site, so you see exactly where the margin goes.
3 of 6 sectors.
Same data. Same definitions. Same audit trail.
MARGYN is one of six ways into the same AI brain, so it never argues with the other products about what a number means — and every answer can be traced afterwards.
How GENIUX works →Five more ways into the same brain.
Each one shares your data and definitions with MARGYN, so the second product is faster to switch on than the first.
The answer is stuck in a dashboard.
Synk Converse
Explore Synk →
New store locations are a gamble.
Spot-On Expand
Explore Spot-On →
Nobody has time to check the stock.
Visai Protect
Explore Visai →
Measuring media ROI is a struggle.
Spendix Amplify
Explore Spendix →
Paperwork is lost, scattered and easy to fake.
Arkyv Prove
Explore Arkyv →Put Margyn to work.
Every engagement starts with a short Labs workshop: we confirm the decision MARGYN should improve, the data it needs and the number it will be measured against.