WILAS Platform · Location Intelligence

Understand how visitors move through your space, without installing a single new sensor

Most organisations make space planning, tenancy, and operational staffing decisions on instinct or outdated surveys. WILAS Location Analytics, part of the Wireless, IoT, Location & AI Suite, derives real-time visitor behaviour intelligence directly from existing WiFi infrastructure, delivering the data needed to make evidence-based decisions.

The Business Challenge

Decisions on instinct

Space planning, tenancy, and staffing calls are made on gut feel or periodic surveys that are out of date the moment they are compiled.

No view of real usage

Venues have no clear picture of how their space is actually used: which zones draw traffic, where visitors linger, and where they never go.

Slow, manual reporting

Tenant and stakeholder performance reporting is assembled by hand, so it arrives late and cannot support timely decisions.

Business Outcomes

What Location Analytics delivers to the business.

Zone-level foot traffic intelligence

See visitor volumes zone by zone across the floor plan, so busy areas, quiet corners, and traffic patterns are visible rather than assumed.

Evidence-based space utilisation

Base layout, tenancy, and investment decisions on measured utilisation of each zone rather than instinct or dated surveys.

Demand-aligned operations

Match staffing, cleaning, and service coverage to real demand across the day, directing resources to where and when visitors actually are.

Tenant and stakeholder reporting

Give tenants and stakeholders clear performance reporting on the traffic reaching their space, replacing manual compilation with live figures.

Trend analysis and benchmarking

Compare zones, days, and periods to establish benchmarks, track the effect of changes, and analyse behaviour over time.

No additional sensor hardware

Derive all of this from the WiFi already in place, with no new sensors, cameras, or hardware to procure, install, and maintain.

Key Capabilities

What the platform includes.

Real-time occupancy monitoring

Foot traffic heatmaps

Dwell time and visit duration analysis

Visitor journey and movement flow

Repeat visitor and frequency analysis

Zone performance benchmarking

Event and campaign impact measurement

Scheduled and on-demand reporting

How It Works

01
Signals detected
The WiFi access points already in place detect device signals across the venue as visitors move through it.
02
Resolved to zones
WILAS resolves those signals to defined zones on the floor plan, mapping presence to real areas of the space.
03
Aggregated anonymously
Movement and dwell are aggregated anonymously across visitors, so the analysis reflects patterns rather than individuals.
04
Visualised on dashboards
Dashboards visualise traffic, heatmaps, and visitor journeys, turning raw signals into a clear picture of how the space is used.
05
Reported on demand
Reports are scheduled for regular delivery or pulled on demand, so tenants and stakeholders receive current figures when needed.

Industry Use Cases

Retail Malls

Traffic evidence to guide tenant mix and leasing decisions.

Commercial Real Estate and Offices

Measured space utilisation to right-size and plan the estate.

Airports and Transport Hubs

Flow and queue intelligence to manage large public spaces.

Government and Public Institutions

Usage data for evidence-based planning of public facilities.

Illustrative Scenario

From entry counters to space-wide visitor intelligence

A large venue relies on manual entry counters and periodic visitor surveys, giving it a headline number but no view of how visitors actually move once inside.

With WILAS Location Analytics in place, the existing WiFi becomes a live source of anonymised movement intelligence, feeding KPI dashboards that show traffic, dwell, and flow zone by zone.

Real-time

Occupancy and flow across the venue

Zero

New sensors or cameras required

Anonymised

Device data, aggregated for analysis

Live

KPI dashboards for stakeholders

Integration & Infrastructure

Fits your existing environment.

Runs on the WiFi access points already in place, across all major vendors
No new sensors or cameras required to begin analysing movement
Deploys on-premise or in the cloud, to suit each venue
Exports and dashboards to share performance with tenants and stakeholders

Data Governance

Location Analytics tracks anonymised device identifiers, not personal data. No names, contact details, or personally identifiable information are collected or stored by the analytics layer, in line with Singapore’s PDPA.

Deployment

Cloud or on-premise, to suit each venue. A typical deployment goes live in three to four weeks.

Frequently Asked Questions

What is WILAS Location Analytics?

WILAS Location Analytics is the visitor behaviour intelligence platform in the Wireless, IoT, Location & AI Suite. It derives real-time foot traffic, dwell, and movement intelligence from existing WiFi infrastructure, so organisations can make evidence-based space, tenancy, and staffing decisions.

How does it track visitors without new sensors?

The WiFi access points already in place detect device signals as visitors move through the venue. WILAS resolves those signals to zones on the floor plan and aggregates movement and dwell anonymously, so no new sensors or cameras are required.

Is visitor data anonymised?

Yes. The analytics layer works from anonymised device identifiers and aggregates behaviour across visitors. No names, contact details, or personally identifiable information are collected or stored, in line with Singapore’s PDPA.

What decisions does it support?

It supports space utilisation, tenancy and leasing, demand-aligned staffing and service coverage, and tenant and stakeholder reporting, along with trend analysis and benchmarking over time.

Can it run on-premises?

Yes. Location Analytics deploys either in the cloud or on-premise to suit each venue, and runs on the WiFi already in place across the major vendors.