The Blind Spots Every Operator Has
Camera-only and POS-only analytics each tell half the story. Cross-referencing tells the whole story.
Camera-Only Analytics
Foot traffic counters tell you how many people walked in. They cannot tell you which ones bought, what they bought, or whether your busiest hour is also your most profitable.
POS-Only Analytics
Transaction data tells you what sold. It cannot tell you how many people walked in and left without buying, where they spent time in your space, or why your conversion rate dropped.
Cross-Referenced Intelligence
When you connect both, you unlock metrics that neither system can produce alone: conversion rate by hour, revenue per visitor, dwell-to-purchase correlation, and zone profitability.
Metrics That Don't Exist Without Both Data Sources
These six metrics require both camera counts and POS transactions. No single system can produce them.
Conversion Rate by Hour
Know that 340 people walked in between 11am-1pm, 238 made a purchase. Your lunch conversion is 70%. On Tuesdays it drops to 58%. Now you know where to focus.
Revenue Per Visitor
Your average transaction is $18.50 but your revenue per visitor is $12.95. That $5.55 gap represents people who walked in and left. Close it and you add $1,900/day.
Dwell Time → Purchase Correlation
Customers who browse for 4+ minutes convert at 2.1x the rate of those under 2 minutes. Optimize your layout, signage, and greeting to increase dwell time.
Zone Profitability
Camera heatmaps show the back seating zone gets 8% of traffic but your POS shows it generates 3% of revenue. Revenue per square foot: $4/day vs $48/day at the counter.
Walk-Away Analysis
34% of your foot traffic leaves without buying. Camera timestamps + POS gaps identify exactly when and how long they stayed before walking out. That's not a traffic problem — it's a conversion problem.
Staff Performance by Traffic
Cross-reference which staff are on shift during high-traffic hours with actual conversion rates. One shift converts at 72%, another at 54% with similar traffic. The difference is $840/week.
From Camera Feed to Revenue Insight in 24 Hours
Four steps. No new hardware for most operators. No IT department needed.
Connect Your Cameras
Works with any IP camera you already have — 720p+, ceiling-mounted, pointed at entries/zones. No new hardware required for most operators.
AI Counts Anonymously
Computer vision counts people entering, exiting, and moving through zones. No facial recognition, no biometric storage. Fully PIPEDA and CCPA compliant.
POS Data Syncs Automatically
Meridian pulls transactions from Square, Toast, Clover, or 75+ systems via one-click OAuth. Camera counts and POS sales are time-synced to the minute.
Cross-Referenced Dashboard
Conversion rates, revenue per visitor, zone heatmaps overlaid with sales data — all updating in real time. Anomaly alerts fire when the numbers diverge.
Privacy-First by Design
Camera intelligence without surveillance.
Anonymous Counting Only
We count people, not faces. No facial recognition, no biometric data, no individual tracking. Just aggregate counts by zone and time.
Compliance Built In
PIPEDA (Canada), CCPA (California), GDPR-ready. Configurable compliance modes: anonymous, opt-in identity, or disabled per camera.
You Own Your Data
Camera analysis runs on compressed video. Raw footage never leaves your network. Only aggregate metrics (counts, dwell times, heatmaps) are synced to the dashboard.
Built for Operators Who Want the Full Picture
Camera intelligence works for any business with foot traffic and a point of sale.
Restaurants & QSR
Know your lunch rush conversion rate, not just your lunch rush revenue.
Coffee Shops
See how many people enter, see the line, and leave — then fix the bottleneck.
Retail & Smoke Shops
Dwell time heatmaps show which displays drive purchases vs. which are dead zones.
Auto Shops
Service bay occupancy + ticket data = revenue per bay per hour.