
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
Limited data on paths and high-impact zones.
Hard to measure “before vs after” changes.
Optimization is needed without raising OPEX.
02. Solution
01
Discovery
Definicja wymagań i zakresu
02
Requirements & Scope Definition
Analiza potrzeb i środowiska.
03
Pilot
Wdrożenie testowe i kalibracja.
04
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).
