Intelligence

The Intelligence page is the shape of your catalog and the demand around it, on one screen. Categories you stock, where shoppers are searching, and where the two diverge. This is a tour of what's on the page and how to read each piece.

What's on the page

From top to bottom: a dimension switcher, a period selector, a map with a heat overlay and labelled dots, and a demand-vs-supply table. Below them, a collapsible Test a product form to project a hypothetical product into the same view.

Switching either control re-renders everything: pick a different dimension and the map redraws against that axis with a new table; pick a different period and both the heatmap and the demand index recompute over that window. The period selector caps at your tier's Intelligence lookback (see Plans).

Dimensions and lenses

A dimension is one way to slice your catalog. The default is Category (Coats, Trousers, Knitwear, etc.), the canonical "what kind of thing is this?" view. Trait dimensions like Material, Occasion, or Aesthetic are layered on top: the same items, re-grouped along a different axis.

A lens is a single value within a dimension. Inside Category, Coats and Trousers are two lenses. Inside Material, Wool and Linen are two lenses. The dots on the map and the rows in the table are lenses.

The view switcher only appears once a property has more than one dimension. New properties start with just Category; trait dimensions get added automatically as the catalog gains enough variety to support them.

Reading the heatmap

The map shows the lenses in the active dimension as labelled dots, arranged so related lenses sit closer together. Layered on top: a heat overlay where shoppers have been searching in the selected period. Warm regions are concentrated demand. Empty regions are quiet. The base fill is faint cool blue so sparse areas read as "we looked, found little" rather than blank.

Hover a lens dot for its name and a one-line description. Distances on the map are interpretive: they reflect catalog structure within this one dimension, not absolute coordinates. Distances aren't comparable across dimensions. The Category map and the Material map use different projections.

Reading the demand-vs-supply table

The table ranks each lens by its Demand Index, computed over the selected period.

1.0
Balanced. The lens's share of recent searches roughly matches its share of your catalog.
Above 1.0
Undersupplied. Shopper interest in this lens is outpacing what you've stocked. Higher numbers are sharper imbalances.
Below 1.0
Oversupplied. You stock more in this lens than current shopper demand suggests.
Pure demand
Shoppers are searching for this lens but you have zero items in it. The Demand Index is undefined here; the table flags it explicitly so the gap is visible.

Small samples get pulled toward 1.0 to avoid spiking on noise. A lens with two lucky queries and one item won't show as "80×". The trend pill (rising, steady, cooling) compares the Demand Index to the same length of time before the current window. If your history doesn't reach back two windows yet, the surface tells you so and trend stays blank until it does.

Switching dimensions

Use the View dropdown to pick another dimension. The map redraws against that dimension's lenses (e.g. Wool, Linen, Cotton, Synthetic for Material instead of Coats, Trousers, Knitwear for Category), and the demand-vs-supply table reframes accordingly. The heading above the table updates to "Demand vs supply along Material" so it's clear which axis you're reading.

Trait dimensions (like Material or Occasion) are not required to cover the whole catalog: an item can sit unassigned in a trait dimension if no lens fits it cleanly (a sock has no Occasion). Those queries are dropped from the trait demand math, not forced into a closest match.

Test a product

Click Test a product above the map to open a small form. Type a product title and a one or two sentence description, then submit. We project that hypothetical product into the active dimension's space, drop a pin on the map, and write a short narrative explaining the fit:

  • Against Category: "sits cleanly in your Shirts category" or "lands between Trousers and Knitwear; no clean home today."
  • Against Material: "reads strongly as Wool" or "reads as Cotton, but with Linen attributes."

Useful for testing where a product you're considering stocking would land before you commit to it.

Per-item drill-in

From the items list, opening an item's Intelligence drill-in shows five cards over the same data, scoped to that one item.

Placement
Which lens this item sits in within the active dimension.
Lens demand
How that lens's demand currently looks: Demand Index, trend, and a one-line read.
Peer comparison
Where this item ranks within its lens by how often it surfaces in shopper searches.
Near-duplicates
Closest items in your catalog to this one. Useful for spotting near-clones or merge candidates.
Distinctive queries
Recent shopper queries that surfaced this item most strongly. The phrases shoppers actually use to land on it.

Lookback by tier

How far back the heatmap and demand index can look is set by your tier. The page itself, switching dimensions, opening the drill-in, and submitting Test a product are unlimited; only the lookback window is gated.

7

Starter

days

30

Growth

days

90

Pro

days

365

Scale

days

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