Solutions
Customer Journey: Understand Every Step In-Store
From the street to the checkout, measure where shoppers engage, wait and drop off.
What is in-store customer journey analytics?
In-store customer journey analytics measures each step a shopper takes in a physical store, from passing the window to entering, browsing, trying on and paying. Computer vision identifies where engagement happens, where queues form and where shoppers abandon, so retailers can remove friction at each stage.
What it helps you improve
Conversion funnel
See how passersby turn into visitors and buyers.
Waiting times
Reduce queues at checkouts and fitting rooms.
Service
Respond in real time to situations that need staff.
Use cases
Full Funnel: from Passersby to Conversion
Measure each stage of the in-store funnel: passersby, entries, zone visits, fitting rooms and checkout. Comparing stages reveals where the store loses potential customers and which actions improve conversion. Built on in-store analytics with computer vision.
Engagement Analysis
Understand which areas, displays and screens attract attention and how long shoppers engage with them, to optimise layout and content.
Queue Management: Fitting Rooms & Checkout
Monitor queue length and waiting time at checkouts and fitting rooms. Alerts let managers open tills or reassign staff before waiting affects the experience.
Abandonment Rates
Detect shoppers who leave queues or zones without completing the journey, and identify the moments and locations where it happens most.
Real-Time Alerts
Notify store teams when predefined thresholds are reached, such as queue length or occupancy, so they can act immediately.
Under-18 Alerts
Support compliance in areas with age-restricted products by alerting staff so they can carry out the appropriate checks.
Fitting Room Service Optimization
Measure fitting room usage, waiting and occupancy to plan staffing and improve service in one of the most decisive moments of the fashion journey.
Self-Checkout
Analyse self-checkout usage and waiting, and alert staff when customers need assistance.
How we work
- STEP 1
Consulting
We analyse your stores, goals and existing infrastructure.
- STEP 2
Design
We design the combination of technologies for each location.
- STEP 3
Installation
On-site installation and integration with your systems.
- STEP 4
Content & analytics
We set up the CMS, content and dashboards.
- STEP 5
Support
Own technical support and maintenance.
Technologies involved
In-Store Analytics with Computer Vision
Measure footfall, dwell time, queues and conversion in physical stores with computer vision.
Single and Double Side LCD Screens
Digital window displays that face both the street and the store.
Content Management Systems (CMS)
Manage and schedule content on every in-store screen from one digital signage CMS.
Industries
Fashion & Fast Fashion
Fitting rooms, window displays, RFID and store analytics.
Luxury Retail
Immersive LED experiences, reception analysis and clienteling.
Grocery & Supermarkets
Out-of-stock detection, endcaps, queues and retail media.
Telecommunications
Queues, reception and interactive kiosks for telecom stores.
Restaurants & QSR
Digital menu screens, queue analytics and audio.
Automotive Dealerships
Showroom LED screens, reception and footfall analytics.
Frequently asked questions
Can I measure fitting room waiting times?
Yes, as part of queue management and fitting room service optimisation.
Is this a turn-ticket queue system?
No. It measures queues with computer vision and alerts staff; it does not issue tickets.
Which technologies are used?
In-store analytics with computer vision, plus LCD screens and the CMS when information is shown to shoppers.
Next step
Talk to an expert
Tell us about your stores and what you want to measure or communicate. We'll design the right combination of analytics, screens and content for your points of sale.