Retail video analytics

Know what's happening in every store. Improve what matters.

Turn your existing CCTV cameras into actionable insights that increase sales, improve store operations, reduce losses, optimize workforce productivity and enhance customer experience, footfall, queues and loss prevention included. No new hardware.

Works with existing CCTV
Real-time queue & footfall alerts
Privacy-first, on-prem option
HyperDecode · Live dashboard
Visitors
1,920
+12.5%
Entries
1,845
+15.2%
Exits
1,643
+12.8%
Hourly entry / exit flow
Dwell 24 minConv. 32%
Live detections
Streaming
Billing counter unattended · Counter 2
3 waiting
Long billing queue · Counter 3
~10 min
Store overcrowd · Peak hour
4:1 ratio
Restricted-area breach · Storage Room B
3 min
Store opening · SOP check
10 min late
The gap

Every store has cameras. Very few deliver business insights.

Retailers invest heavily in CCTV, POS, ERP and workforce tools. Yet the questions that actually decide store performance still go unanswered.

?Why are customers leaving without buying?
?Which stores are losing sales opportunities?
?Why are checkout queues increasing?
?Are stores following operational standards?
?Which promotions actually attract shoppers?
?Why is shrinkage increasing?
?Where are operational bottlenecks affecting revenue?
?Are shelves empty during peak shopping hours?
?Are employees available when customers need help?
?Which locations need immediate operational attention?

HyperDecode turns everyday store activity into measurable insights, so teams make faster, better-informed decisions.

Store performance
Last 8 weeks, illustrative
4 metrics off track
Conversion rate
32%
-2.1%
Capture rate
32.9%
-4.6%
Avg dwell time
24 min
-5.0%
Checkout completion
16.3%
-3.2%

The cameras recorded every one of these weeks. Nothing in the footage explains which of the questions above is causing the drop.

See it in action

From camera feed to decision in under a minute

Watch the same store footage become footfall, queues, conversion and live alerts.

Platform

One platform. Every store. Complete visibility.

Turn the footage you already record into decisions for every store.

Executive dashboards

Every location on one screen: footfall, conversion, queues and alerts, rolled up for head office and broken down per store.

Weekly visitors
11,290
Conversion
32%
Avg dwell
24 min
Open alerts
5
Footfall, last 7 daysIllustrative

Customer insights

Footfall, dwell time and conversion for every store, hour and zone.

11AM12PM4PM5PM6PM

Busiest 5PM · 210 visitors

Store operations

Cleaning and SOP checks, checkout monitoring and department coverage through the day.

Queue monitoring

Live queue length and wait time, with alerts before shoppers walk.

Peak 15 in queue · ~10 min wait

Employee performance

Customer-to-staff ratio against ideal bands, plus on-floor versus non-floor time per shift.

Shaded band = ideal 8–15:1

Store compliance

Opening and closing compared against configured times, with the deviation flagged.

OpeningClosing

Opening +10 min late · closing on time

Loss prevention

Shrinkage and suspicious activity flagged at the shelf and till.

Alerts & reports

Unattended counters, long queues, overcrowding, after-hours presence and restricted-area breaches, each with a live stream to jump to.

3critical2warning

Open alerts today

Visitor demographics

Gender split, age band, and new versus returning visitors, per store and per zone.

Cross-store customer view

Recognise returning shoppers across locations using pseudonymous IDs, never names or faces.

How it works

Live in four steps

No new cameras, no rip-and-replace. HyperDecode works with the CCTV you already run.

  1. 1

    Connect your existing cameras

    Point HyperDecode at the CCTV feeds you already run. No new hardware, no rewiring, just the streams you have today.

  2. 2

    AI analyzes every feed

    Our models watch each camera in real time for footfall, queues, dwell time, and loss-prevention signals, on-prem or in the cloud.

  3. 3

    Get alerts & dashboards

    Your team gets live alerts when something needs attention and dashboards that compare performance across every store.

  4. 4

    Improve sales & operations

    Act on what the data shows: fix the bottlenecks, staff to real demand, and hold every store to the same standard.

Use cases

Solutions for every retail function

From the front door to the checkout, turn every camera into a source of decisions.

Customer analytics

See how shoppers actually move through your store

Know how many people enter, who they are, where they go, and what holds their attention.

  • Visitor counts by store, hour and entrance
  • Customer journey and zone-by-zone dwell time
  • Gender split, age band, new versus returning
  • Promotion engagement and peak-hour trends
Shoppers browsing a fashion store, with analytics overlays marking each detected person and high-dwell zoneShopperDwell 2m 10s
Customer analytics
Live from existing CCTV

Illustrative overlay showing the signals HyperDecode extracts from a camera feed.

Visitors by age band
Female 53.5% · Male 46.5%
18-2425-3435-4445-5455+
New vs returning64.8% / 35.2%
Conversion

From the pavement outside to the checkout

Follow the whole journey, including the shoppers who walked past and never came in, which POS data alone can never show you.

  • Capture rate: passers-by who actually come inside
  • Engaged visitors who spend real time in store
  • Trial and fitting-room activity
  • Drop-off at every stage, so you know where you lose them
Visit to checkout
Today, illustrative
32.9% capture
Outside footfall
5,840
32.9% captured
Inside visitors
1,920
  1. Visitors1,920
    100%
    61% continue to engaged >5 min
  2. Engaged >5 min1,170
    60.9%
    41% continue to trials
  3. Trials485
    25.3%
    64% continue to checkout
  4. Checkout312
    16.3%
Store operations

Hold every store to the same standard, every day

Verify that stores open on time, stay clean, and keep departments covered, without waiting for a regional visit.

  • Opening and closing checked against configured times
  • Cleaning and SOP compliance checks
  • Checkout monitoring and department coverage
  • SLA compliance and exception reports
A staff member serving a customer at a store checkout, with overlays confirming till coverage and queue lengthStaff presentCheckout · 1 waiting
Store operations
Live from existing CCTV

Illustrative overlay showing the signals HyperDecode extracts from a camera feed.

Loss prevention

Catch shrinkage while it is still happening

Flag suspicious activity at the shelf and the till in real time, with an evidence clip attached to every alert.

  • Suspicious-behaviour flags at shelf and till
  • Unauthorized access and high-risk zone monitoring
  • Non-scan and sweethearting detection
  • Incident investigation with evidence clips
Retail display shelving with overlays marking a monitored high-risk zone and a flagged incidentRestricted-area breachAfter-hours presence
Loss prevention
Live from existing CCTV

Illustrative overlay showing the signals HyperDecode extracts from a camera feed.

Multi-store performance

Compare every location on the same footing

Benchmark stores and regions against each other so head office knows where to intervene first.

  • Store benchmarking and regional comparison
  • Executive dashboards across the estate
  • Customers who shop more than one location
  • Daily reports and operational scorecards
Footfall by location
Last 30 days, illustrative
All locations
Main StoreDowntownMall OutletAirport
Highest capture rateMain Store
Longest average queueDowntown Branch
Needs attentionAirport Kiosk
Outcomes

Improve every stage of store performance

The same feeds, read five different ways.

Increase sales

Discover where customers engage, hesitate, and leave without purchasing.

Improve operations

Ensure every store follows the same operational standards every day.

Enhance customer experience

Reduce wait times, improve service levels, and create smoother shopping experiences.

Reduce losses

Identify operational risks, security incidents, and shrinkage before they impact profitability.

Optimize workforce

Help teams spend more time serving customers and less time on inefficient processes.

Formats

Built for every retail format

Scroll through the formats we are built to support.

Supermarkets

Aisle flow, queue peaks and shrinkage across large floorplates.

Grocery stores

Fast basket turnover and tight checkout capacity.

Fashion retail

Fitting-room demand, display pull and browse-to-buy conversion.

Electronics

High-value stock protection and assisted-sale response time.

Pharmacies

Counter queues, restricted areas and compliance records.

Convenience stores

Small formats, lean staffing and peak-hour surges.

Department stores

Department-level coverage and concession performance.

Specialty retail

Long dwell, high-touch service and display effectiveness.

Shopping malls

Common-area footfall and tenant benchmarking.

Retail chains

Like-for-like comparison across every location.

Teams

Built for every retail team

One source of truth, read differently by each team that depends on it.

CEOComplete visibility across all stores
COOImprove operational consistency
Operations HeadMonitor execution and compliance
Regional ManagerCompare store performance
Store ManagerResolve issues faster
Loss PreventionReduce shrinkage and investigate incidents
HR & WorkforceOptimize staffing and productivity
MerchandisingMeasure display and promotion effectiveness
Why us

Why retailers choose HyperDecode

Retail-specific analytics on the infrastructure you already own.

Uses existing CCTV

No new hardware, no rip-and-replace.

Purpose-built for retail

Retail metrics, not generic surveillance.

Real-time alerts

Act during the shift, not after it.

Enterprise ready

Built for estates, roles and permissions.

Multi-store visibility

Every location on one screen.

Actionable dashboards

Decisions, not raw footage.

Rapid deployment

Connect feeds and start measuring.

Privacy-aware analytics

On-prem option, privacy-first by design.

Example scenarios

How retail teams put HyperDecode to work

Illustrative examples of the platform in action, not customer results.

Multi-store footfall scenario
Illustrative example

Multi-store footfall

The challenge

A chain can see total sales per store but has no consistent way to know how many people actually walked in, or how many of them bought.

How HyperDecode helps

HyperDecode counts footfall and conversion per location from the existing cameras, so head office can compare stores on the same footing.

The intended outcome

The goal: quickly spot underperforming stores and understand whether it's a traffic problem or a conversion problem.

Checkout queues scenario
Illustrative example

Checkout queues

The challenge

At peak hours, checkout lines build up faster than staff notice, and some shoppers abandon full baskets and leave.

How HyperDecode helps

Real-time queue-length and wait-time alerts notify the floor manager the moment a line crosses a threshold.

The intended outcome

The goal: open another till before customers walk out, protecting sales during the busiest periods.

Loss prevention scenario
Illustrative example

Loss prevention

The challenge

Shrinkage is often discovered days later during stock counts, long after anything can be done about it.

How HyperDecode helps

HyperDecode flags suspicious activity at the shelf and till in real time and attaches an evidence clip to each alert.

The intended outcome

The goal: let loss-prevention teams intervene as incidents happen instead of reconstructing them after the fact.

Every store has data. Few retailers know how to use it.

Stop relying on assumptions and manual audits. Gain real-time visibility into customer behaviour, store operations, workforce productivity and operational performance, all from the cameras you already have.