Omnivue
Retail operations intelligence

AI video workflows for customer flow, queues, promotion engagement and store operations.

Use existing CCTV or IP cameras to monitor customer movement, dwell time, checkout queues, promotion zones, POS counters, stockroom access, store exceptions and evidence-backed retail reports.

Flow

Customer movement

Queues

Checkout visibility

Insights

Dwell and engagement

Retail and malls AI video intelligence

Entrance

Footfall event

Queue

Counter pressure

Display

Engagement zone

POS

Evidence trail

Priority workflows

Retail teams need live operational intelligence, not only after-the-fact CCTV footage.

Stores and malls need visibility across entrances, aisles, displays, queues, POS counters, stockroom doors and customer service areas. Omnivue turns camera views into measurable retail workflows.

Core idea

Every important retail signal should be linked to zone, camera, time, activity type, evidence and review status.

Customer Flow & Footfall

Understand customer movement across entrances, aisles, zones, counters, floors and mall corridors.

Queue Monitoring

Monitor checkout queues, service counters, billing areas, pharmacy counters and mall waiting zones.

Promotion Engagement

Measure activity around promotional displays, campaign areas, endcaps and high-value product zones.

Dwell Time & Zone Attention

Identify where customers spend time across aisles, shelves, counters, displays and product areas.

POS & Counter Visibility

Improve visibility around POS counters, billing desks, cash areas, service counters and transaction zones.

Evidence & Reports

Create searchable records for exceptions, queue events, store activity, stockroom access and operational reports.

Operational gap

Retail stores already have cameras. The missing layer is store intelligence.

CCTV footage is useful after an incident. Omnivue helps retail and mall teams turn selected camera views into customer flow, queue, promotion, POS and evidence workflows.

1

Store decisions depend on manual observation

Managers often rely on walkarounds, staff feedback or delayed reports to understand queues, flow and customer engagement.

2

Promotion performance is difficult to verify

Retail teams need better visibility into which displays, aisles and product zones actually attract attention.

3

Queue and counter issues are noticed late

Long checkout queues, unattended counters and service delays affect customer experience before teams respond.

4

Incident review depends on CCTV search

POS disputes, stockroom access, crowding, queue complaints and loss-prevention reviews often require manual video search.

Retail and malls AI video workflow architecture

Deployment zones

Map AI workflows around real retail and mall spaces.

Each zone can have different rules: footfall at entrances, dwell time at displays, queue alerts at checkout, POS visibility at counters and access events at stockroom doors.

Store entrance

Mall entrance or corridor

Checkout queue

POS counter

Promotional display zone

High-value product area

Aisle engagement zone

Customer service counter

Stockroom access door

Pharmacy or electronics counter

Fashion store floor

Security desk and control room

Retail and malls deployment zones

Outcomes

What improves after deployment?

Improve visibility into customer flow and queue pressure

Understand dwell time and promotion-zone engagement

Reduce manual store monitoring and delayed reporting

Create evidence-backed records for retail exceptions

Improve POS, counter and stockroom visibility

Support multi-store and multi-site retail operations

Fit & readiness

What should be planned first?

Store zone mapping

Identify entrances, aisles, queues, counters, promotional displays, stockroom doors and high-value zones before deployment.

Camera coverage planning

Camera angles should clearly cover movement paths, checkout queues, POS counters, displays and access doors.

Retail rule definition

Define queue thresholds, dwell rules, engagement zones, counter visibility rules and exception triggers.

Operations ownership

Define who receives alerts, who reviews evidence and how reports are used by store, retail and operations teams.

Implementation approach

A practical deployment path for retail stores and malls.

The goal is not to replace the entire surveillance system. The goal is to add an AI workflow layer over selected entrance, aisle, queue, display, POS and stockroom camera views.

1

Store assessment

Map entrances, aisles, cameras, counters, queue areas, displays, POS zones and stockroom access points.

2

Workflow configuration

Configure customer flow, dwell, queue, promotion, counter, access and exception rules by store zone.

3

Edge deployment

Run AI processing locally where required and connect selected events to dashboards, alerts and reports.

4

Reporting and review

Generate store activity reports, queue trends, promotion insights, evidence snapshots and exception records.

Share your retail workflow. We’ll map the right setup.

Tell us your store layout, cameras, entrances, aisles, checkout queues, promotion zones, POS counters, stockroom access points and reporting needs. Omnivue can help design the right retail operations AI workflow.