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In-store traffic and hot-zone analytics

How to use AI video data to optimise store layout, grow basket value and improve conversion.

Overview

Understand real customer paths and dwell zones. Layout and merchandising become data-driven decisions rather than guesswork.

Obszary zastosowań

01. Challenge

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Limited data on paths and high-impact zones.


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Hard to measure “before vs after” changes.


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Optimization is needed without raising OPEX.


02. Solution

Discovery

Definicja wymagań i zakresu

Requirements & Scope Definition

Analiza potrzeb i środowiska.

Pilot

Wdrożenie testowe i kalibracja.

Rollout

Pełne wdrożenie systemu.

We define zones, metrics, and comparative reporting (heatmaps, paths).

03. Outcomes

↑ layout

Better layout and merchandising decisions.

↑ experience

Improved shopper experience and staff planning.

↑ conversion

Data that supports higher conversion and sales (POS-side).

Optimize your store with data

Share your store format—we’ll define a before/after pilot.