Step 1 · Set
What do you want from this shelf?
Step 2 · Configure
Pick the shelf, set the context
Weekly category turnover in this store
scales every money figure · default is a demo placeholder
Optional Fine-tune the context — retailer terms, operations, chain listing defaults applied automatically
Selected shelf — segment blocks
Each block = one subline × pack-size segment. This is the unit the engine reasons about.
Retailer profile lens
defaults applied
Operational availability lens
defaults applied
Ranged assortment — KZ chain listing
simulated until uploaded
Upload the filled template to drive per-chain coverage and the retailer must-list.
Step 3 · Diagnose
What the shelf gets wrong
Planogram — layered diagnostics
MODELED
Default view shows zone verdicts. Attention and OOS are evidence layers opened only when checking why.
Run Analyze to render the shelf.
Zone verdicts — what to do
Each verdict names the area, the action, and the money. Heat/OOS only explain the verdict.
Run Analyze to surface findings.
Zone proof — why this exact area
The client's audit path: footprint, reason, calculation, and donor space.
Select a verdict or shelf zone to see the proof.
Market conformance — % fit
Facing-mix vs simulated market targets · directional · validate in Testlab
Consumer decision tree
Select a node to focus its shelf zone, the radar & the benchmark. Dashed = white-space.
You vs market
simulated
Purple = your facing share · Peach = market share
Step 4 · Growth
The growth agenda
1 recognise shelf
2 inspect one zone
3 recalc the money
4 check donor facings
5 export pilot
Pick a goal, adjust the lenses, then hit Analyze.
Select an opportunity to materialise its variants.
Step 5 · Result
Before → after
