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Case Studies: How Global Brands Grow With V-Count

Four of the world's most recognizable retailers — Samsung, Bang & Olufsen, Swatch and Guess — run their stores on V-Count people counting and BoostBI analytics. Select a brand to read the full story, or download each case study as a PDF.

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Case study · Consumer electronics retail

Samsung: People Counting Across 25+ Countries Lifts Conversion Over 5%

25+Countries
+5%Conversion increase
2Regions: LATAM & Gulf

The challenge

Samsung's retail network in Latin America and the Gulf region spans dozens of markets with very different traffic patterns, staffing models and store formats. Without a single, accurate source of footfall truth, comparing store performance across countries — and knowing whether a low-sales day meant low traffic or low conversion — was guesswork.

The solution

Samsung deployed V-Count sensors with the BoostBI analytics platform in all of its Latin America and Gulf region stores, across more than 25 countries. Every entrance reports bidirectional visitor counts with up to 99% accuracy, staff are excluded from the data automatically, and BoostBI benchmarks every store against the network in real time — in one dashboard, for every regional team.

The results

With traffic and conversion finally measurable per store, per hour, Samsung reported a conversion rate increase of over 5% across the deployment. Regional managers now schedule staff to real peak hours, measure the effect of launches and campaigns on actual walk-ins, and compare markets on identical metrics.

One platform, 25+ countries, one definition of conversion — that's what made a 5% lift measurable, and repeatable.

See your stores the way Samsung sees theirs.

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Case study · Luxury audio retail

Bang & Olufsen: Global Visitor Analytics Driving Sales in Every Store

GlobalWorldwide rollout
AllStores reporting growth
1Analytics platform

The challenge

Bang & Olufsen sells experiences: listening rooms, demonstrations, long consultative visits. In that model raw sales numbers say little on their own — the brand needed to understand how many people actually walk in, how long they engage, and how effectively each boutique turns visits into ownership.

The solution

Bang & Olufsen selected V-Count globally for visitor analytics. GDPR-compliant sensors count every visit without recording a single image — data is processed on the device itself — and BoostBI gives every store and the global retail team the same real-time view of traffic, conversion and peak-hour patterns.

The results

The company reports increased sales across all of its stores worldwide. Store teams staff demonstrations to actual traffic curves rather than assumptions, and the retail organization compares boutiques from Copenhagen to Seoul on one consistent set of visitor metrics.

For a brand built on precision, visitor data had to meet the same standard — accurate, private, and identical in every store on earth.

Premium retail runs on premium data.

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Case study · Watches & fashion retail

Swatch: A Global Partnership for Optimized Retail Operations

GlobalPartnership scope
up to 99%Counting accuracy
24/7Real-time dashboards

The challenge

Swatch stores live in the world's highest-traffic retail locations — malls, high streets, airports — where rent is priced on footfall. Operating profitably in those locations means knowing precisely how much of that traffic enters, when the peaks hit, and how each store converts it.

The solution

Swatch has been partnering with V-Count globally for visitor analytics. Sensors at every entrance measure true visitor traffic — groups recognized, staff excluded — while BoostBI turns the counts into hourly conversion, benchmark and staffing insights that store and regional managers act on daily.

The results

The partnership has led to optimized retail operations across Swatch stores: staffing aligned to real peaks, store performance judged on conversion rather than raw revenue, and location decisions informed by measured traffic instead of estimates.

In footfall-priced locations, the retailer who measures traffic best negotiates, staffs and sells best.

Turn high-traffic locations into high-conversion stores.

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Case study · Fashion retail · North America

Guess USA: Migrating From a Legacy Counter to Nano AI Across North America

2025Migration year
North AmericaRollout scope
<5 minInstall per sensor

The challenge

Guess USA had been running its North American stores on a legacy people counting system — aging hardware, dated accuracy, and analytics that no longer matched how a modern retail team works. Replacing an installed base across a continent is exactly the kind of project retailers postpone: too many stores, too much disruption.

The solution

In 2025 Guess USA began rolling out V-Count Nano solutions across its retail stores in North America. Nano's plug-and-play design made the migration practical: sensors install in under five minutes, are configured and calibrated remotely, and BoostBI was live for store teams from day one — no data blackout during the switch.

The results

Guess now runs its North American network on current-generation 3D counting with up to 99% accuracy, staff exclusion and group counting — and its teams work from real-time dashboards instead of a legacy report queue. The migration itself proved the point: a continent-wide sensor replacement doesn't have to be a construction project.

The hardest part of upgrading a legacy counting system is deciding to. The installation took minutes per store.

Still on a legacy counter? Migration is easier than you think.

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Frequently Asked Questions

Which global brands use V-Count for people counting?

V-Count serves 600+ companies in 130+ countries, including Samsung, Bang & Olufsen, Swatch, Guess, Nike, Cartier, Sephora and 11 Fortune 500 companies. Samsung alone runs V-Count in stores across 25+ countries.

What results do retailers report with V-Count?

Samsung reported a conversion rate increase of over 5% across its Latin America and Gulf region stores. Across the platform, retailers use V-Count to increase conversions by up to 41%, cut queue wait times by 38% and reduce staff costs by up to 18%.

Can V-Count replace an existing legacy people counting system?

Yes. Guess USA migrated from a legacy counter to V-Count Nano across its North American stores in 2025. Nano sensors are plug-and-play, install in under five minutes, and BoostBI can also ingest data from other sensor brands during transition.

Where can I see more V-Count case studies?

Browse all client stories on the Clients page or watch video case studies including Miniso, Royal Academy of Arts and Veranda Mall on the V-Count YouTube channel.