Modern retail store interior
Retail Analytics · Vision AI

Solving Retail's Biggest Challenges with Vision AI.

MacV turns your existing cameras into a real-time analytics platform. Understand your customers, optimise your layout, and make smarter staffing decisions.

LIVE · Store Analytics
Today
Zone Heatmap
cold
hot
Entrance● HIGHZone A● MEDZone B● LOWZone C● HIGHZone DZone ECheckout● HIGH

1,247

Footfall today

14:00

Peak hour

4m 23s

Avg dwell

Queue alert · Checkout · 8 people waiting
What you can learn

Every question your ops team asks, answered

Your cameras already capture this data; MacV makes it readable.

Which zones are underperforming?

Zone Heatmaps

See which zones customers spend time in and which they skip. Useful for layout planning and product placement.

When does queue length hurt conversion?

Queue Intelligence

Monitor queue lengths in real time and get alerts when they exceed your threshold. Reduce walkouts.

Who are my customers?

Demographics & Dwell

Aggregated demographic profiles and average dwell time by zone, without storing personal data.

Why does Zone B convert better than Zone A?

Path Analysis

Trace the routes customers actually walk, identify which paths lead to purchases, and understand flow patterns across the flo.

Am I staffing the right hours?

Peak Hour Forecasting

Traffic history shows your busiest and quietest windows. Plan staffing around actual demand, not guesswork.

Which promotions actually drive traffic?

Campaign Attribution

Overlay campaign dates against footfall data. See which promotions brought people in and which ones did not.

Live Dashboard

See every zone, in real time

Click any zone on the floorplan to explore its metrics.

Store Analytics · Live

STORE FLOORPLAN · DWELL HEATMAP · Click a zone for details

Entrance1,247dwell 1m 12sZone AElectronics382Zone BSeasonal134Zone CClothing521Zone DAccessories298Checkout618 · 4m 10s avgLow dwellHigh dwell

Store Overview

Total footfall1,247
Peak window14:00–15:00
Avg dwell4m 23s
Conversion rate18.2%

Entrance

Footfall1,247
Avg dwell1m 12s
Conversion72%

HEATMAP SCALE

LowHigh
How it works

From camera to decision

Detect
5 tracked

Count and track every person.

MacV connects to your existing cameras and immediately counts footfall and dwell time across every zone. No new hardware required.

ANY RTSP CAMERA
Alert

Queue exceeds 8 people · Checkout

14:22 · Avg wait >6 min

Zone B below footfall target

134 of 280 target · −52%

Threshold alerts when it matters.

Set queue length limits and footfall targets. Your team gets notified the moment conditions exceed what you have defined.

REAL-TIME ALERTS
Analyse
Zone C footfall · over timeSat–Sun peaks
Week 1Week 4

Analyse patterns over time.

Historical data shows you which zones underperform consistently, which hours are actually your busiest, and whether your promotions drove foot traffic.

TREND ANALYSIS
Privacy & compliance

Built to protect customer privacy from the ground up.

MacV processes video on-site and only outputs aggregated zone data. No footage leaves your premises. No personal data is ever generated.

No face recognition

MacV detects silhouettes and movement only. Faces are never captured or stored.

PDPA compliant

Designed for compliance with local data protection regulations across retail and hospitality.

Edge processing

Video is processed on your premises. No footage is sent to the cloud. Raw video never leaves your site.

How your data flows

Person enters camera frame

Silhouette detected on-device

Zone count + dwell time stored

Raw video — never stored or transmitted

Results

+23%

revenue per square foot

avg. across 12-store live rollout

94%

footfall counting accuracy

validated against manual counts

3s

dwell time precision

within 3 seconds of actual time

12

stores in live rollout

single retail chain rollout

Get started

See what MacV can do for your store.

Book a 30-minute demo. We'll walk you through how MacV works using footage from your industry.