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Custom retail software · Footfall and store insights

AI Retail Video Analytics Development

Understand how people move through your store. Digittrix builds custom retail video analytics for footfall, queues, store zones and dwell-time estimates. Give managers a clear view of activity across entrances, displays and branches, with reports that explain what each metric means.

Custom software

Built around your workflow

Connected systems

Integrated with your operation

Pilot to rollout

Tested with your team

The service, explained

What does retail video analytics measure?

Retail video analytics uses suitable store cameras to count entries, track activity in defined zones and estimate queue conditions or dwell time. We build the measurement rules and dashboards around your store layout and the decisions managers need to make.

What we build

Retail footfall and store analytics features

Choose the features your team needs. We agree the scope, system connections and success criteria before development.

Entrance footfall

Count people crossing selected entrances in each direction. Define how reports handle staff, repeat visits and incomplete coverage.

Store-zone activity

Map camera views to aisles, displays and departments. Compare activity by time and zone to inform layout and staffing discussions.

Dwell-time estimates

Estimate time within visible zones when tracking quality supports it. Account for lost tracks, blocked views and repeat entries.

Queue monitoring

Define queue areas and alert thresholds. Notify staff when the agreed conditions occur and test the setup during busy periods.

Object and activity detection

Track agreed objects or observable actions. Give managers context to review an event before drawing conclusions about it.

Branch reports and POS links

Compare stores using consistent reporting rules. Connect supported point-of-sale data when your project needs a defined conversion measure.

How the software works

From store movement to useful retail reports

  1. 01

    Map the store

    Select entrances, displays and operational zones.

  2. 02

    Track activity

    Process agreed people or object events in each view.

  3. 03

    Understand patterns

    Review zone activity, trends and configured alerts.

  4. 04

    Plan the response

    Share insights with store managers and operations teams.

Store activity — illustrative workflow
Illustrative workflow. We adapt the final design to your project.

Connect the complete workflow

How we connect your existing systems

We check access, compatibility and data ownership early. Each connection needs clear rules for permissions, failed requests and recovery.

Integration planning: Retail & Store Analytics
ConnectionWhat we connectWhat we check first
Store camerasEntrance, aisle and display-area viewsCoverage, lighting and accessible streams
Retail systemsSupported POS, CRM and reporting toolsTime alignment and agreed definitions for combined metrics
Branch dashboardsStore-level views and central reportingUser roles, comparable periods and consistent counting rules

Test before you roll out

How do we validate retail analytics?

We agree measurable targets with your team and test representative inputs, including the difficult cases.

01

Footfall counts

Compare directional counts with manually checked samples across quiet periods, busy periods and staff movements.

02

Zone and dwell estimates

Check zone boundaries and lost tracks; document how occlusion and re-entry affect reported time.

03

Store comparisons

Confirm time periods, camera coverage and counting rules are consistent before comparing branches.

Scope, cost and delivery

Plan your custom video analytics project

Start with one location and a clear operational question. We assess the footage, test a pilot and agree the development milestones with your team.

What affects development cost?

Store coverage
Entrances, zones and branch count determine the camera assessment.
Retail metrics
Footfall, dwell time, queues and cross-camera tracking need different tests.
Connected reporting
POS connections, historical reports and hosting affect the estimate.

We provide a project-specific estimate and milestones after discovery. Your proposal separates development from ongoing operating costs.

Get a project estimate

Bring these details to the first discussion

  • A floor plan and the business question for each zone
  • Entrance and aisle sample footage from typical operating hours
  • Rules for repeat entries, staff traffic and report comparisons
  • Required branch dashboards, exports and business integrations

Know what happens at handover

We agree source-code and licence terms, deployment access, documentation, team training and support responsibilities in your proposal.

  1. 01

    Discover

    Map the workflow, inputs and system connections.

  2. 02

    Pilot

    Test the core task and agree acceptance targets.

  3. 03

    Develop

    Build the application, integrations and admin tools.

  4. 04

    Launch

    Validate, deploy, train your team and start agreed support.

Your development partner

Meet the team behind your software.

Digittrix Infotech Private Limited builds business software from Mohali, India. Explore our team, published work and client feedback as you choose your development partner.

The Digittrix team at the Mohali office
Our team at the Digittrix office in Mohali.
Related retail experience

IKEA customer traffic management

Our published account describes movement inputs connected to an internal app and a web dashboard, with traffic views and historical reports.

Read the IKEA project account ↗

These accounts describe the delivered projects. We assess the camera and AI requirements for your project separately.

Answers before you build

Retail video analytics development FAQs

Can you build retail analytics using our store cameras?

We assess your streams, placement, lighting and image quality first. A pilot shows which footfall, zone or queue measurements the existing coverage can support.

Does footfall counting need facial recognition?

No. Many entrance and zone-counting workflows work without identifying shoppers. We treat identity matching as a separate requirement.

Can we include heatmaps and dwell time?

Yes, where camera placement and tracking quality support useful estimates. We define the zones and explain how blocked views or lost tracks affect the reports.

Can you connect the software to our POS system?

We assess the POS system’s data access and align the reporting periods. We then define the conversion measure with your team; camera counts alone do not prove purchases.

What relevant retail work can we review?

Our IKEA customer-traffic management account describes movement inputs connected to an internal app and web dashboard. The linked case study explains that project’s scope. We assess your camera and analytics requirements separately.

What affects the cost of a retail analytics project?

The number of stores, cameras and zones sets the starting scope. Dwell-time tracking, queue alerts, POS connections and reporting requirements add development and testing work.

Let’s plan your project

What should your camera data help your team do?

Tell us about your locations, camera setup and current systems. We will help you define a practical development plan.

Discuss Your Retail Analytics Project

Service information updated .