Department Stores

For department store operators measuring footfall, conversion, capacity, and staffing. V-Count’s Nano AI 3D sensors count anonymously and the BoostBI platform turns it into insight. No cameras, no personal data.

V-Count Nano AI sensors count every visitor to your department stores in 3D with up to 99% accuracy — no cameras, no faces, no personal data. BoostBI turns those counts into footfall by hour, capture rate, dwell time, zone heatmaps, live occupancy alerts and conversion, so staffing, layout and marketing decisions rest on measured evidence instead of estimates.

Restroom visitor counter
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Benefits of Visitor Analytics for Department Stores

Restrooms People Counting 01

In the realm of restroom management, leveraging people counting and visitor analytics brings forth numerous advantages. One key benefit lies in optimized resource and staff allocation, particularly in high-traffic areas like malls and airports. Real-time usage data enables prompt cleaning after periods of high activity, ensuring cleanliness standards are maintained throughout the day. Additionally, maintenance alerts can be triggered based on usage thresholds, guaranteeing timely cleaning and maintenance.

Furthermore, these analytics enhance hygiene by enforcing social distancing guidelines, fostering a safer environment for both customers and staff. Efficient resource management is achieved by tracking peak usage times, enabling optimal cleaning schedules and timely restocking of supplies. Embrace these insights to create a seamless restroom experience, enhancing customer satisfaction and promoting a hygienic environment for all.

Restrooms People Counting 01

Utilizing queue management data also allows for the optimization of restroom facilities, reducing wait times and significantly improving visitor satisfaction.

Using the power of queue management data extends beyond efficient waiting lines; it becomes a strategic tool for enhancing the overall visitor experience, especially in optimizing restroom facilities. By delving into queue analytics, businesses can precisely understand the dynamics of restroom traffic, allowing for strategic improvements in design, maintenance, and resource allocation.

Reducing wait times becomes not just a matter of convenience but a tangible way to elevate visitor satisfaction. With insights gleaned from queue data, businesses can implement targeted enhancements in restroom facilities, ensuring long lines are directed to other alternative available restrooms.

Meet BoostBI

Visitor Analytics to Boost The Efficiency of Your Physical Locations

V-Count analytics platform simplifying retail data insights

Compatible with All People Counters

Operating a network of stores, malls, airports, or other facilities? Have you invested in various brands of people counting sensors? Replacing them all at once can be challenging and expensive. V-Count is compatible with modern people counting sensors, ensuring a straightforward setup. With Boost BI, comparing your various stores or facilities becomes effortless.

Enhance the performance of your people counting sensors with Boost BI by having all your data centralized in a single location. Connecting Boost BI to your data takes less than two days. Furthermore, Boost BI accommodates 19 languages, ensuring accessibility for a global audience

V-Count people counting sensor product lineup including Nano AI, Nano Prime, and Nano Outdoor
V-Count Nano AI people counting sensor

Nano AI

Precise. All-in-one. Plug & Play.

With an unmatched accuracy of up to 99% and as the world’s only people counter with machine learning and AI algorithms on the sensor, Nano AI ensures reliable gender and age recognition, and offers an optional, highly accurate staff exclusion system.

Nano AI features in-device processing and active stereo vision for 3D insights without capturing personal details. This feature ensures GDPR compliance while also providing an all-in-one solution for your convenience.

Nano Outdoor

Durable. All-Weather. Plug & Play.

Nano Outdoor is designed to deliver reliable outdoor people counting, entrance tracking, and storefront performance analytics, tailored for malls, transit hubs, and other high-traffic outdoor entrances.

Nano Outdoor stands out with its IP65 weather-resistant, splash-proof design, night vision that works in complete darkness, and a temperature tolerance of -25°C to 60°C, delivering up to 99% accuracy in any climate.

V-Count Ultima Go compact people counter
V-Count Nano Prime advanced people counting sensor

Nano Prime

Accurate. Prime. Plug & Play.

Nano Prime offers specialized solutions for in-store heatmap and zone analytics, allowing you to optimize store layouts, strategically place products, refine pricing strategies, and unlock a myriad of benefits.

With Nano Prime, industries like retails, events, and smart buildings can leverage the power of data to enhance business performance, making informed decisions that drive success.

BoostBI

Cloud-Based. Actionable. Anywhere.

BoostBI is V-Count’s cloud-based SaaS analytics platform. Transform raw sensor data into actionable insights, benchmark performance across all your malls or stores, and integrate with your existing tech stack through our open REST API.

Access real-time dashboards, automated reports, and a mobile app from anywhere, with support for 19 languages, so every stakeholder gets the visibility they need.

V-Count Nano AI people counting sensor

Why V-Count

We are transforming people’s day-to-day experiences

V-Count people counting technology infographic

We have earned the trust of more than six hundred customers, including eleven Fortune 500 companies, with our industry-leading people counting solutions. We operate in 128 countries, providing a variety of solutions for businesses. These include people counting, queue management, demographic analysis, heatmap and storefront analytics, and many more.

Our specialty lies in computer vision and AI, fields in which we have pioneered patented innovations. V-Count independently designs, develops, and manufactures its own hardware and software.

Our unique AI-on-chip technology guarantees exceptional accuracy in analytics and people counting, while placing a high emphasis on privacy. Rest assured, our technology fully complies with GDPR regulations worldwide. Furthermore, our sensors are equipped with user-friendly plug-and-play features and a dashboard called BoostBI, providing actionable insights, automatic reports, and a mobile app, ensuring a smooth experience for our users.

Our exclusive AI-on-chip technology excels not only in people counting but also in providing data-driven behavioral analytics. It reveals the full potential of your business through insights such as zone analytics, visitor flow analytics, and customer demographics like gender and age.

We pride ourselves on our transparent pricing with no surprise payments later, and we are unwaveringly dedicated to a seamless customer experience.

Feel free to get a demo, because you can count on V-Count for people analytics!

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Frequently Asked Questions

Everything you need to know about growing traffic, sales and efficiency with V-Count.

How do we measure conversion floor by floor rather than for the whole store?
Count each floor and each major department with Nano Prime, then set those counts against till data for the same area in BoostBI. A store-wide conversion rate hides the floor that is losing the sale.
How do we measure capture rate from the street or the mall concourse?
Nano Outdoor counts the passing traffic outside the entrance while Nano AI counts who comes in. Capture rate is the ratio, and it is the number that tells you whether the window is doing its job.
Which departments and concessions get the most traffic and dwell?
Nano Prime reports visits and dwell per zone, so concession space can be priced and reviewed on evidence, and underperforming adjacencies become visible.
How do we tell staff and shoppers apart in the count?
Staff movements can be excluded, which matters most at service doors and on floors with high associate movement, where an unfiltered count makes conversion look far worse than it is. V-Count Staff Exclusion keeps staff out of the count.
How many sensors does a store with several street entrances need?
One per entrance that customers can use, plus one per zone you want reported separately. Leaving an entrance uncovered is the usual reason a count does not reconcile with takings. V-Count Nano AI and Nano Prime cover entrances and zones.
How do we see how shoppers move between floors?
Count the escalator heads, lifts and stair cores as well as the street doors. BoostBI then shows how many shoppers reach each floor, which is usually where a department store finds its real traffic problem.
How do we compare branches of different sizes fairly?
BoostBI normalises by using rates rather than totals, so conversion and capture rate can be compared across a flagship and a smaller branch without size distorting the ranking.