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AI Video Intelligence · Retail Analytics

Retail Analytics Solution That Turns Cameras Into Sales Data

Easycomm is a retail analytics solution that changes that math. Same cameras, same ceiling mounts, zero new hardware in most stores - but now every entrance, aisle, and till feeds a live picture of footfall, dwell, loss risk, and queue length straight to the people who run your stores.

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The Problem

Why retail needs this now, not in 2027

Margins are thin, staff are stretched, and shrink is climbing. Guesswork isn't a strategy anymore - here's what's actually costing you.

Footfall walks in and walks out, unmeasured

You know how many transactions you closed. Do you know how many people you didn't convert - and why they left empty-handed? Most retailers still can't answer that. They're optimizing the 20% of the story that shows up on the till receipt and ignoring the other 80% that walked the floor. Dwell time is the tell: shoppers who linger 90+ seconds in a zone are roughly 4x more likely to buy than those who don't, and a 1% lift in dwell time has been linked to a 1.3% lift in apparel sales. If you're not measuring dwell by zone, you're leaving that signal on the table.

Losses build quietly, then hit all at once

Shrink isn't one big heist. It's a thousand small moments - a returned item that never made it back to shelf, a "employee discount" that wasn't, a bag that left the stockroom a little too full. U.S. retailers lost an estimated $90 billion to shrink in 2025, and shoplifting incidents were up 18% year over year, per NRF's 2025 retail theft data. By the time a stock count flags the gap, the moment to act on it is long gone.

Queues quietly chase customers out the door

A slow line doesn't just annoy people - it costs you the sale. Roughly 73–75% of shoppers abandon a queue once the wait passes five minutes, and nearly a third of shoppers report abandoning purchases over long lines altogether. That's real revenue walking out the door because nobody was watching queue length until it was already too long.

What We Build

How Easycomm's retail analytics solution actually works

One platform, four jobs, all running on the cameras already mounted above your aisles and tills.

Live crowd density heatmaps

Live footfall counts

At every entrance, updated in real time, not a monthly spreadsheet.

Vehicle and pedestrian flow counting

Zone-level dwell tracking

So you know which aisle, endcap, or display actually holds attention.

Stalled-vehicle and obstruction detection

Conversion-rate benchmarking

Footfall vs. transactions, by store, by hour, by day.

Event-day surge monitoring

Heatmaps

That show you exactly where shoppers cluster and where they never go.

Red-light and wrong-way detection

Behavior-based alerts

Flag concealment, cart-pushing, or return-fraud patterns as they happen - not after the count.

Illegal parking and obstruction

Stockroom & blind-spot monitoring

Covers the areas shrink actually happens, not just the sales floor.

Abandoned object alerts

After-hours activity detection

Around loading docks and back entrances.

Crowd aggression detection

POS-linked exception flags

Tie unusual register activity (voids, no-sales, refunds) to the matching camera clip automatically.

City-wide command view

Real-time queue-length detection

At every till and self-checkout lane.

Cross-camera incident timeline

Automatic alerts

To open a new register the moment wait times cross your threshold.

Role-based department access

Peak-hour forecasting

Based on historical footfall, so you staff ahead of the rush instead of reacting to it.

Automated compliance reports

Dwell-in-line tracking

To spot exactly where a queue bottlenecks - is it the till, the bagging area, or ID checks?

City-wide command view

Appearance search

The guy in the grey hoodie who left through aisle 3" - found across every camera in the building in seconds, not a full-day footage review.

Cross-camera incident timeline

Cross-store watchlists

So a known offender flagged at one location is recognized the moment they walk into another.

Role-based department access

Vehicle & plate matching

for parking-lot and loading-dock incidents linked to organized retail crime.

Real Results · Precision Auto Parts

How a 60-Store Fashion Chain Cut Shrink and Grew Conversion in One Quarter

Northfield & Co., a 60-store mid-market fashion retailer across three regions, came to us with a familiar split problem: shrink was creeping up faster than sales, and nobody could say why footfall wasn't converting. We deployed Easycomm's retail analytics solution across all 60 stores in just five weeks using Northfield's existing camera infrastructure. It enabled footfall and dwell tracking, behavior-based loss-prevention alerts, and queue monitoring across every location.

22% increase

In conversion rate in stores where dwell-based merchandising changes were made

34% drop

in stockroom and fitting-room shrinkage

41% fewer

queue-abandonment incidents during peak weekend hours

9 - minute

average cut in daily footage-review time per store, freeing loss-prevention staff for floor presence instead

Zero

new cameras purchased across all 60 sites

We finally connected footfall to shrink to queue time in one view," Northfield's VP of Retail Operations told us. "Before, three different teams had three different tools. Now everyone's looking at the same numbers.

Why Easycomm

From pilot to every store, without a hardware refresh

Easycomm's video analytics retail deployments follow the same five-step path whether it's one store or two hundred:

Site Survey

We map your existing cameras, POS setup, and network - usually remote, under an hour per store.

Zone Configuration

Entrances, endcaps, tills, stockrooms - each gets its own rules, because a checkout lane isn't a fitting room.

AI Calibration

Models tune to your store's lighting, layout, and foot traffic patterns before go-live, so alerts mean something from day one.

POS & System Integration

We connect your point-of-sale, loss-prevention, and access-control systems via API - no custom middleware.

Go-Live & Staff Training

Dashboards go live, teams get trained on mobile and desktop, support is one message away.

Frequently Asked Questions
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Almost certainly, yes. Easycomm supports any ONVIF-compliant IP camera plus major brands like Hikvision, Dahua, Axis, and Hanwha. Analog store cameras can be bridged in via encoders, so most retailers deploy this retail analytics solution without buying new hardware.
A single store typically goes live in 5 to 10 business days from the initial site survey. Multi-store rollouts (10+ locations) run 3 to 6 weeks, depending on network readiness and how many systems you're integrating.
Video is processed for detection and matching, not stockpiled as a raw biometric database by default. You control retention windows, who can access footage, and can disable facial or appearance-matching features entirely if your privacy policy requires it. The platform is built to support GDPR and similar regional frameworks.
Yes. Easycomm connects via open APIs and webhooks to most major POS platforms, loss-prevention software, and access-control systems - so a register exception (a void, a no-sale, a refund) can pull up the matching camera clip automatically, no manual cross-referencing.
Both. The platform scales from one location to hundreds under one dashboard, so a single flagship boutique and a 60-store regional chain use the exact same system, just at different scale.

Stop guessing what happens on your sales floor. Start Preventing City Incidents.

Every day without a real retail analytics solution, your cameras are recording sales you're missing and losses you can't explain. See exactly how Easycomm turns your footfall, your dwell time, and your queues into decisions your team can act on - with a live walkthrough on your own store layout, not a generic sales deck.

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