Store Layout Optimiser

The Problem

Retail store layouts tend to get set up once and stay that way, with changes based on merchandiser intuition or supplier planogram requirements rather than actual shopper behaviour. High-margin products end up in low-traffic areas. Complementary categories sit on opposite sides of the store. Dead zones develop where customers rarely go, and nobody notices because there’s no data telling them.

How It Works

This agent processes foot traffic data from in-store sensors, correlates it with POS sales data by zone, and maps out how customers actually move through your store. It identifies which areas generate the most engagement, where customers spend time but don’t buy, and which paths they take between departments. Based on this data, it recommends layout changes — repositioning high-margin categories into high-traffic zones, grouping complementary products together, and adjusting fixture placement to improve flow through underperforming areas.

Smarter Stores for Australian Retailers

Every square metre of retail space costs money, so making each one work harder is a direct path to better returns. This agent turns foot traffic and sales data into specific, actionable layout recommendations — not vague heatmaps, but concrete changes you can test and measure. It works for single stores or across a multi-site network. Our automated data processing service handles the sensor data integration so your team can focus on merchandising decisions.