Astrid & Miyu is a fast‑growing jewellery and piercing brand known for its highly curated boutiques and omnichannel experience. To keep pace with rapid expansion, the leadership team needed hard data on how many people visit each store, when they come, how long they stay and how effectively each location converts visitors into customers using AI people counting systems for retail stores and cloud‑based footfall analytics software. AI‑powered 3DPro2 people counting sensors combined with the V9 Retail Analytics platform created a standardised, scalable measurement framework across the estate for UK retail people counting and occupancy monitoring.https://smarturbansensing.co.uk/services-people-counter-installation-people-counter-installer-ai-footfall-installation/
FootfallCam 3D Pro2 — AI-Powered 3D Stereo-Vision People Counter
Business Challenge: Retail Footfall Analytics for Jewellery Boutiques
Astrid & Miyu’s boutiques blend piercing services, jewellery browsing and events in compact, high‑traffic spaces.
Traditional beam counters and manual estimation struggled with groups entering together, overlapping queues and customers re‑circulating through the store, making these unsuitable as a people counting solution for small retail spaces. This made it difficult to answer basic strategic questions such as:​
- How many unique visitors does each boutique attract daily and weekly according to a retail footfall analytics system?
- Which hours and days are truly “peak” for staffing and piercing appointments, based on AI‑driven store traffic analysis?
- Which locations convert traffic into sales most effectively, and which underperform despite strong footfall according to in‑store conversion rate analytics?
Without accurate footfall and occupancy data, staffing models were based on habit, and marketing impact in physical stores could only be inferred from sales rather than measured from store traffic counts through to retail conversion KPIs.
This limitation prevented data‑driven decisions on hiring, merchandising and store operations.​
Solution: AI 3DPro2 People Counters and V9 Retail Analytics
Smart Urban Sensing deployed AI 3DPro2 overhead people counters for retail at the primary entrances of selected Astrid & Miyu stores, followed by a phased rollout across the wider portfolio. The 3DPro2 devices use stereo vision and AI algorithms to detect and track individuals in 3D space, delivering high counting accuracy even when shoppers walk in groups, pause at displays or cross paths—ideal as a high‑accuracy 3D people counting camera for fashion and jewellery brands.
​https://smarturbansensing.co.uk/services-people-counter-installation-people-counter-installer-ai-footfall-installation/
Key Technical Elements
- Ceiling‑mounted AI 3DPro2 sensors positioned to cover each entrance and key internal thresholds, with careful attention to height, angle and lighting conditions during the site survey stage, ensuring reliable entrance people counting in busy high‑street stores.
Encrypted data transmission from each sensor to the cloud‑hosted V9 Retail Analytics Manager platform, with no personally identifiable images stored to maintain GDPR‑compliant people counting for UK retailers.​
- Configuration of V9 dashboards to show live and historical footfall, dwell time, occupancy and visit patterns for every store, alongside standardised KPIs and comparison views, turning raw counts into multi‑store footfall benchmarking and performance dashboards.
V9 Analytics was then integrated with existing sales data so that conversion metrics could be calculated at store, day and hour level, delivering retail conversion analytics by hour, day and campaign rather than just end‑of‑day sales totals. This integration transformed raw footfall data into actionable business intelligence linked directly to revenue and profitability.​
Implementation: End‑to‑End AI People Counting Project
The deployment followed a structured four‑step delivery model for an end‑to‑end AI people counting implementation:
Step 1: Site Survey and Design
Smart Urban Sensing engineers assessed each store’s entrances, ceiling heights, cabling routes and network access to design an optimal sensor layout using AI 3DPro2 hardware as a bespoke people counting solution design for each boutique. This stage was critical to ensure that the overhead sensors could capture traffic flow without obstruction, even during peak trading hours when multiple customers entered simultaneously.​
Step 2: Installation and Commissioning
Devices were installed outside trading hours where possible, calibrated to the specific field of view, and connected to store networks with secure outbound communication to V9, providing a fully managed people counter installation service across multiple locations. Each sensor was tested against known visitor volumes to validate accuracy before go‑live, ensuring that baseline metrics were reliable from day one.​
Step 3: Dashboard Configuration and KPI Setup
V9 Analytics views were tailored for Astrid & Miyu’s needs: total visitors, unique visitors, dwell, occupancy, staff‑to‑visitor ratios and conversion linked to POS data for real‑time retail analytics dashboards for store managers. The dashboards were designed to answer specific business questions: How busy is the store now? When do customers dwell longest? Which departments drive conversion? This made insights immediately actionable for day‑to‑day operations.​
Step 4: Training and Support
Store managers, regional management and head‑office teams received training on interpreting dashboards and using insights in staffing, merchandising and campaign planning, supported by ongoing remote monitoring and helpdesk services to provide continuous optimisation of retail footfall analytics.​
Results: Higher Conversion and Better Use of Space
Within weeks of go‑live, Astrid & Miyu had a unified view of visitor behaviour across its boutiques instead of relying on estimates, powered by real‑time store traffic analytics and occupancy monitoring. Accurate people counting surfaced several transformative insights:​
Store‑Level Performance Visibility
Some stores with high perceived “busyness” actually under‑converted once true footfall and sales were compared, enabling targeted coaching and layout changes using store‑level conversion rate dashboards. For example, a boutique with 1,200 weekly visitors but a 2% conversion rate could now be compared fairly against a 900‑visitor location with 3.2% conversion, revealing that experience and execution mattered more than traffic volume alone.​
Optimised Staffing and Scheduling
Peak hours for piercing appointments and browsing were clearly visible, letting managers align staffing rosters to real demand and reduce queues without over‑staffing quiet periods, supported by AI‑driven staff scheduling from footfall data. This reduced labour costs while improving customer satisfaction during peak times.​
Refined Store Layouts
Dwell and occupancy analytics highlighted congestion around specific fixtures and piercing bars, prompting subtle layout adjustments that improved flow and preserved the premium in‑store experience through shopper journey and dwell‑time analytics. When data showed customers spending 8+ minutes at the piercing bar but only 2 minutes browsing jewellery, merchandising teams could reposition displays to increase engagement in lower‑traffic zones.​
Standardised Performance Benchmarking
By standardising KPIs across all stores, the brand could benchmark performance by city, format and size using a consistent multi‑site people counting and footfall reporting platform. This enabled regional managers to identify best‑practice stores and roll out proven tactics across the network quickly.​
Strategic Benefits: Scalable People Counting for Expanding Retail Brands
Standardising on AI 3DPro2 sensors and V9 Analytics has given Astrid & Miyu a repeatable blueprint for new store openings, acting as a scalable people counting solution for growing retail chains. Every new boutique can be fitted with people counters from day one, added to existing V9 dashboards and compared instantly against the network using consistent metrics. This accelerated time‑to‑insight for new locations from months to weeks.​
At a strategic level, the brand has aligned its physical analytics with the sophistication of its digital stack and CRM investments, creating a unified view of online and in‑store customer behaviour for omnichannel retail. This integration enabled the brand to answer higher‑level questions: How do e‑commerce customers behave differently in stores? Which product categories drive the highest store conversion? How do in‑store campaigns impact online traffic?​
Data‑Driven Decision Making
Management can now:
- Evaluate true campaign impact – Measure the true impact of marketing campaigns and events from footfall uplift through to conversion using event‑based store traffic and sales attribution. A new social media campaign can now be traced from Instagram impressions to store visitor uplift to actual sales, providing clear ROI on marketing spend.
- Optimise operations with confidence – Make data‑driven decisions on store layouts, staffing and opening hours supported by data‑driven retail optimisation from AI people counters. Rather than relying on opinions or anecdotes, every decision is grounded in weeks or months of traffic and conversion data.
- Prioritise capital investment – Prioritise expansion and refurbishment budgets based on evidence rather than intuition, using footfall‑based site selection and store performance insights. High‑traffic, high‑converting locations become candidates for premium refurbishment, while underperforming boutiques receive targeted operational support before investment.​
Why This Matters: Long‑Term Competitive Advantage
Together, AI 3DPro2 and V9 Analytics have turned Astrid & Miyu’s boutiques into measurable, optimisable assets—delivering AI‑powered people counting and footfall analytics for fashion and jewellery retailers and supporting confident growth in new and existing markets. The case study demonstrates that retail success in 2025 requires the same data rigor applied to physical stores as to digital channels. Brands that combine accurate people counting with conversion analytics, occupancy monitoring and dwell‑time insights gain a clear edge in staff productivity, customer experience and profitability—delivering measurable ROI for every new store opened.​
For jewellery retailers, piercing studios and fashion boutiques across the UK and beyond, AI 3DPro2 sensors with V9 Analytics represent a proven pathway to transform boutiques from gut‑feel businesses into data‑driven operations.
Ready to bring AI people counting to your retail stores? Smart Urban Sensing supplies, installs and supports AI 3DPro2 people counting systems with V9 Retail Analytics for retailers across the UK and Ireland. Share your store locations and entrances, and our team will design a tailored AI people counting and footfall analytics solution for your brand.Â
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