Use cases
// APPLICATIONS · GROCERY & HYPERMARKET

Measure category and shelf performance

Grocery, hypermarket, and supermarket floors: which category zones hold dwell, which end-caps earn the look, and where in-store journeys break.

Measure category and shelf performance

Operating questions

What category and store operations teams ask

  1. 01

    Which stores convert the least traffic into entry and category dwell?

  2. 02

    Which of end-caps, new products, and promo displays actually earn attention?

  3. 03

    Can the layout and daypart routine of a top store be applied across the network?

POS records transactions and basket size. Storefront traffic, entry, category dwell, and shelf attention only exist if they are measured.

Depending on the goal and the site, the setup uses a Slim Camera, a SpaceVision IP Camera, or existing IP cameras, connected to an AI Box or an on-site video processor. Original video is processed on site; only de-identified events and aggregates reach the dashboard.

01

Slim Camera + AI Box

Attention at close range, including signage and shelves

02

SpaceVision IP Camera + AI Box

New camera coverage for storefront, zone and journey measurement

03

Existing IP Camera + video processor

Traffic, dwell and spatial analysis using store CCTV

The setup, unit count and measurable area are confirmed after checking camera angle and resolution, occlusion, lighting and the store network.

How it is measured

An illustrative view. In practice no footage is stored, and no one is identified or re-identified.

Pass · Glance · Attention · Entrance · Dwell · Engage
01
Storefront & category pass
Walked past the store or a category zone.
02
Shelf glance
Turned toward a shelf or display.
03
Display attention
Kept looking at a shelf or feature display.
04
Entry & shelf approach
Entered the store or moved closer to the shelf.
05
Category dwell
Stayed in a category zone beyond the set threshold.
06
Product engagement
Lingered at or visibly interacted with a product or tester.
Storefront traffic and entry rate

Traffic in front of the store versus actual entries

Category dwell

Time spent in fresh, packaged, beauty, health, and other category zones

Shelf and display attention

Attention earned by end-caps, brand shelves, and feature displays

Tester and try-out engagement

Stops, approaches, dwell, and observable interaction at try-out zones

Daypart traffic

Store traffic by morning, lunch, evening, and late night

Shopper mix by store

De-identified aggregate composition of visitors

Behavioral metrics feed space allocation, display standards, and brand partner reporting.

Category space allocation

Adjust category and shelf area to real dwell and paths

Display and planogram standards

Roll out the layout of top stores across the network

Brand partner reporting

Report shelf attention and try-out engagement to brands

Illustrative uses. Actual results depend on store environment and operations.
Customers
LotteMart

LotteMart uses 32 million daily verified impressions and a 16% Attention Rate to price campaigns across 175 stores.

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Measure it in your stores

Start with a 2–3 month pilot configured for your site.