Internet of Things
Customer Journey Monitoring
Understand how visitors move through your stores, malls, branches and venues, where they linger, queue or leave, using anonymous sensor data connected to your sales and service metrics.
Bring Web-Style Journey Analytics to Physical Spaces
Digital teams can see every step of an online journey. Physical locations have traditionally known only what reaches the till. Customer journey monitoring closes that gap by using anonymous sensors, such as 3D stereo people counters, privacy-preserving computer vision, Wi-Fi and Bluetooth presence analytics, to measure footfall, paths, dwell times, queue lengths and zone conversion across a space.
Hanoi Technology designs and builds journey monitoring solutions that respect visitor privacy and deliver actionable insight. We combine sensor data with transactions, staffing, layouts and campaigns, so retailers, mall operators, banks, airports and venues can improve layouts, service levels and conversion based on how people really behave.
The Challenge
What Physical Spaces Struggle to Measure
Questions that sales data alone cannot answer.
Where Do Visitors Go and Where Do They Stop?
Without path and dwell data, layouts, displays and signage are designed on intuition. High-value zones may be passed by entirely. Investment in fixtures, signage and staffing is then hard to justify or evaluate.
Why Do Visitors Leave Without Buying?
Sales show who bought, not who walked out. Long queues, empty service desks or poorly placed products remain invisible.
How Do Staffing and Service Affect Results?
Staff schedules rarely reflect actual traffic patterns by hour and zone, leading to long waits at peaks and idle time in quiet periods.
Balancing Insight with Privacy
Visitors and regulators expect strong privacy protections. Poorly designed tracking can breach GDPR and similar laws and damage trust.
Business Value
Benefits of Journey Monitoring
Layouts Based on Evidence
Heatmaps and path analysis show which zones attract, which are ignored and where congestion forms, guiding layout and merchandising changes.
Higher Conversion
Combining traffic and transactions reveals conversion by zone and hour, so teams can address the moments where visitors drop off.
Shorter Queues and Waits
Real-time queue monitoring alerts staff to open checkouts or service desks before waits become long.
Smarter Staffing
Traffic forecasts by hour and zone help align rosters with demand, improving service while controlling labor costs.
Measured Campaign and Display Impact
Changes in footfall, dwell time and conversion around a display or campaign show what works in the physical channel.
Privacy by Design
Anonymous counting and aggregated metrics deliver insight without identifying individuals, supporting regulatory compliance and visitor trust.
Measure Journeys, Not People
The goal is to understand flows and behaviors, not to follow individuals. We favor sensors that count and track anonymously, aggregate data quickly and discard what is not needed. This approach answers the business questions that matter while keeping privacy risk low and making the solution easier to approve with legal teams and works councils.
Our Services
Hanoi Technology’s End-to-End Customer Journey Monitoring Services
Services covering sensing, analytics and action.
Journey Analytics Strategy
We define the questions that matter, such as conversion, dwell, queues or flows between zones, and design the measurement approach and KPIs for each location type. We also agree how metrics will be defined so that results are comparable across sites and over time.
- Business questions and KPIs
- Measurement design
- Privacy impact considerations
Sensor Selection and Deployment
We select and position people counters, overhead 3D sensors, privacy-preserving vision and presence sensors to cover entrances, zones and queues accurately. Placement accounts for ceiling heights, lighting, entrance widths and how people naturally move through each space.
- Sensor placement plan
- Accuracy validation
- Installation support
Journey Data Platform
We build a platform that ingests and cleans sensor data, maps it to floor plans and zones, and stores aggregated metrics for analysis. Data quality checks flag sensors that go offline or drift, so gaps do not distort trends.
- Zone and floor plan model
- Data cleaning and aggregation
- APIs and data exports
Heatmaps, Paths and Dashboards
We deliver dashboards with footfall trends, heatmaps, zone-to-zone flows, dwell times and queue metrics for store, site and head office users. Users can compare periods, sites and zones and export data for their own analysis.
- Footfall and heatmap dashboards
- Path and flow analysis
- Site benchmarking
Conversion and Staffing Analytics
We combine journey data with POS, CRM, booking and workforce systems to compute conversion and recommend staffing by hour and zone. Forecasts take seasonality, holidays and local events into account.
- Conversion analytics
- Traffic forecasting
- Staffing recommendations
Real-Time Alerts and Occupancy Control
Live counts trigger alerts for queues, crowding or capacity limits and can feed digital signage or entrance displays. Thresholds are configurable per site and time of day.
- Queue and occupancy alerts
- Signage and display integration
- Capacity management
Our Approach
How We Implement Journey Monitoring
From the business question to daily operational use.
- 01
Define Questions and Privacy Approach
We agree on what to measure and why, and design the approach with your privacy and legal teams before choosing any sensor.
Deliverables: Measurement objectives · Privacy design
- 02
Survey and Design
We survey sites, plan sensor positions and coverage, and design zone models and integrations.
Deliverables: Site survey · Sensor and zone design
- 03
Pilot and Validate Accuracy
We install in pilot locations and validate counts against manual observation before trusting the data.
Deliverables: Pilot installation · Accuracy validation report
- 04
Analyze and Act
We deliver dashboards and run analysis workshops to translate findings into layout, staffing and service changes.
Deliverables: Dashboards · Insight and action workshops
- 05
Scale and Operate
We roll out across sites, monitor sensor health and data quality and measure the effect of changes over time.
Deliverables: Rollout plan · Ongoing monitoring and reviews
Use Cases
Customer Journey Monitoring Use Cases
Applications across retail, property, transport and services.
Store Layout Optimization
A retailer compares heatmaps before and after a layout change. Underperforming zones are redesigned based on dwell and conversion data.
Shopping Mall Tenant Insights
A mall operator measures flows between entrances, anchors and corridors. Leasing and marketing decisions use real traffic patterns.
Checkout and Service Queue Management
Queue sensors alert supervisors when waits exceed a target. Additional checkouts open before customers abandon their baskets.
Bank Branch Service Design
A bank measures waiting times and zone use in branches. Self-service and advisor areas are resized to match demand.
Airport and Station Passenger Flows
Operators monitor flows through security, retail and gates. Staffing and signage adjust to reduce bottlenecks.
Museum and Venue Visitor Experience
Venues see which exhibits attract visitors and where crowding occurs. Routes and timed entry are adjusted to improve the experience.
Technology
Journey Monitoring Technologies
Sensing and analytics technologies we design with.
- 3D Stereo People Counters
- Thermal Sensors
- Privacy-Preserving Computer Vision
- Wi-Fi Presence Analytics
- Bluetooth Low Energy
- Cisco Spaces
- AWS IoT Core
- Azure IoT Hub
- Apache Kafka
- Databricks
- Snowflake
- Microsoft Fabric
- Power BI
- Python
- PostGIS
- Digital Signage APIs
Platforms
Deliver Customer Journey Monitoring on Your Preferred Platform
- AWSBuild, migrate and run data and AI workloads on Amazon Web Services.Explore
- Microsoft AzureModernize data, analytics and AI within your Azure tenant.Explore
- DatabricksUnified lakehouse for data engineering, analytics and AI.Explore
- SnowflakeElastic cloud data platform for analytics and data sharing.Explore
Why Hanoi Technology
Why Organizations Choose Hanoi Technology
Senior, Cross-Functional Teams
Strategy, data, AI, cloud and engineering specialists work as one team, so nothing is lost between hand-offs.
Proven Delivery
More than 50 projects delivered for clients in North America, Europe and Asia-Pacific.
Radical Transparency
A written update every week and a demo of working software every sprint, so you always know where things stand.
Cost-Effective Global Delivery
Experienced engineers from our Hanoi delivery hub, with working-hour overlap for every major time zone.
Success Story · E-commerce and retail
Personalized shopping experience for a US fashion retailer
A fast-growing US fashion and lifestyle retailer had plenty of traffic but a 2.1% conversion rate. We combined a recommendation engine with a simpler path from discovery to checkout.
Read the Full StoryMore Success Stories
Real estate
+38%lead conversion rateProperty discovery and lead conversion for a US real estate marketplace
A US marketplace connecting buyers, sellers and agents had plenty of traffic but few enquiries. We built personalized property discovery, AI valuation and a one-tap route to contact an agent.
Resources
Featured Resources
Industry trends and practical guidance to help you get more value from data, AI and technology.
FSMA 204 After the Delay: Using Shipment Monitoring to Get Traceability-Ready by 2028
The FDA Food Traceability Rule deadline moved to July 2028, but the data work is large. Here is how to use shipment monitoring and event data to get ready without wasting the extra time.
CSRD After the Omnibus: What the Revised ESRS Mean for Reporting From 2027
The Omnibus and the simplified ESRS reshaped EU sustainability reporting in 2026. Here is who is in scope, what changed in the standards and how to adapt your data and process.
OpenTelemetry in 2026: Building a Vendor-Neutral Observability Strategy
OpenTelemetry has become the default way to collect telemetry. Here is what changed in 2026 and a practical roadmap for a vendor-neutral observability stack.
Understand How Visitors Really Experience Your Spaces
Tell us which locations and questions matter most to you. We will reply within 24 hours and book a free consultation to design a privacy-conscious pilot.
Customer Journey Monitoring FAQ
How accurate is sensor-based journey monitoring?
Accuracy depends on technology and installation. Overhead 3D stereo and thermal counters are typically very accurate at entrances and defined zones when properly positioned. Wi-Fi and Bluetooth presence analytics are useful for broad trends and dwell estimates but are less precise, partly because device randomization limits what they can see. We validate counts against manual observation during the pilot.
Is customer journey monitoring compliant with GDPR?
It can be, when designed carefully. We prefer sensors that count and track anonymously without capturing identifiable images or device identifiers, process data at the edge where possible and store only aggregated metrics. We support your data protection impact assessment, signage and retention policies, and help you choose approaches that minimize personal data processing.
Do you use facial recognition?
No. Facial recognition is not necessary for journey analytics and carries significant legal and ethical risk. Our solutions measure counts, flows, dwell times and queues without identifying individuals. Where computer vision is used, it is configured to detect people as anonymous objects and to discard images, keeping only the resulting metrics.
Can journey data be combined with sales data?
Yes, and that is where most value comes from. By aligning journey data with POS transactions, bookings or CRM events by location and time, we calculate conversion rates by entrance, zone and hour, and measure the effect of layout, staffing and campaigns. Integrations use APIs, data replication or exports, depending on your systems.
How many sensors does a location need?
It depends on the layout, ceiling height, entrance widths and the questions you want answered. Counting entrances needs fewer sensors than measuring every zone or queue. During the site survey we design a placement plan for your objectives and provide a bill of materials, so you can compare coverage options against cost.
How quickly can we start seeing insights?
Basic footfall trends are available as soon as sensors are installed and validated, typically within weeks of hardware delivery. Meaningful patterns, such as weekday versus weekend behavior or the effect of a layout change, need several weeks of data. We provide early dashboards and schedule analysis workshops once enough data has accumulated.
Can journey monitoring work in locations with multiple floors and entrances?
Yes. We model each site as a set of entrances, floors and zones, and place sensors so that flows between them can be measured, including escalators, lifts and stairways where relevant. Counts are reconciled across entrances to avoid double counting, and occupancy is calculated per floor and zone. Multi-site operators get consistent definitions, so a mall, an airport terminal or a flagship store can be compared on the same metrics.
Who in our organization typically uses the insights?
Store and site managers use daily traffic, queue and conversion views to plan staffing and respond to issues. Operations and real estate teams use longer-term trends for layout, leasing and space decisions. Marketing uses before-and-after comparisons to evaluate campaigns and displays. We design dashboards for each audience and run workshops so that insights turn into concrete changes rather than reports that nobody reads.