Retail Store Analytics

In-store retail analytics is the process of collecting analytical data from your retail store software to provide a better understanding of your customers and their behavior and ultimately improve the performance.

When utilized, retail customer counters can help your retail store optimize marketing and operational strategies. Actionable retail analytics data enables retailers to arrange their store layouts, window displays, and merchandise according to their performance. Retail traffic counters are crucial for managing staff allocation to maximize customer satisfaction…

Retail Store Analytics
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Benefits of Visitor Analytics for Retail

Retail People Counting 02Retailers track visitors on their websites and e-commerce platforms, yet sometimes overlook their physical stores. In today’s competitive market, every customer interaction is crucial, making accurate foot traffic data indispensable. V-Count provides retailers with visitor analytics insights similar to online platforms, delivering valuable data.

Retailers today need sophisticated people counting technologies that are not only GDPR-compliant but also highly accurate, aiding them in making well-informed decisions. At V-Count, we offer people counting solutions for retailers with an industry-leading up to 99% accuracy rate. Analyzing foot traffic helps identify peak shopping hours, allowing retailers to adjust staffing levels and operational strategies effectively to meet customer demands. Moreover, people counting technology offers invaluable insights for marketing efforts. By understanding customer traffic patterns, retailers can tailor marketing campaigns to specific timeframes. Additionally, people counting data helps retailers evaluate the effectiveness of promotions and sales events. By comparing foot traffic data before, during, and after promotional periods, retailers can assess the impact of their marketing strategies. This analysis aids in refining future promotions, ensuring they resonate with the target audience and drive more foot traffic.

In essence, people counting in retail shops is not just about numbers; it’s about comprehending customer behavior and leveraging that knowledge to create enhanced shopping experiences. By using accurate foot traffic data provided by V-Count, retailers can optimize operations, enhance customer engagement, and ultimately boost their sales conversions.

Retail Storefront Counting 02With V-Count’s cutting-edge Ultima Series sensors installed at your storefront, you can now experience the power of Storefront Counting. This innovative system goes beyond merely counting the foot traffic – it precisely monitors impressions and visitor trends, providing comprehensive insights into passerby behavior. By accurately capturing the number of people passing by your store, Storefront Street Counting equips retailers with invaluable data. With this solution, you will be able to understand your storefront’s peak hours, measure impression durations, and delve into their demographic breakdowns, including gender specifics, all in real time.

With this data, you can transform your storefront strategies. You can optimize your layout to enhance visual appeal, negotiate rents with your store owner based on foot traffic insights, and make well-informed decisions regarding your store’s operating hours. Stay ahead of the curve by adapting to changing customer behaviors and preferences. You can even make A/B tests for your new season products to see which ones are more attractive and then apply it to all your stores in your retail chain. Storefront Counting is not just about numbers; it’s about unlocking the potential of your storefront, you can leverage this data-driven approach to create engaging storefront experiences, boost customer engagement, and ultimately, drive higher foot traffic and sales. Let’s embrace the future of retail analytics together with V-Count’s Storefront Counting solution and watch your stores grow in the competitive market.

Retail Age Gender Analytics 02Understanding the age and gender profiles of your retail store visitors can supercharge your retail strategy. By employing cutting-edge AI on chip technology, our demographic analysis solution dives deep into visitor analytics, uncovering valuable insights about your customers. This comprehensive analysis not only enriches customer engagement but also tailors your product offerings, ensuring they resonate with the specific demographics visiting your store.

One of the key advantages of age and gender analysis is the ability to create better product placement and store layout. By identifying the age groups and genders of your visitors, you can optimize product displays and promotions that cater directly to their preferences. This personalized approach significantly enhances customer satisfaction and loyalty, leading to increased sales conversion and customer retention.

Moreover, age and gender analysis serves as a powerful tool for targeted marketing. Armed with detailed demographic data, you can optimize your marketing campaigns, delivering relevant content to specific audience segments. This precision marketing will maximize your ROI.

Additionally, understanding the age and gender profiles of your visitors allows you to make data-driven decisions regarding inventory management. By analyzing which products are popular among specific age groups and genders, you can stock up on items that align with your customer base, maximizing profits.

Retail Staff Exclusion 02With V-Count’s People Counting and Staff Exclusion Solutions, you’re ready to elevate your retail business to new levels of efficiency and accuracy. You’ll have precise insights into the exact number of customers in your store, allowing your staff to enter and exit comfortably, without navigating narrow security door routes.

Our state-of-the-art Ultima Sensors and People Counting Solution offer real-time data on customer foot traffic, enabling you to make informed decisions about staffing and store operations with up to 99% accuracy.

V-Count people counting sensors, installed at the entrance, anonymously detect the neck straps worn by staff members. Identify and exclude your staff using V-Count Neck Straps, ensuring their movements are excluded from your in-store data. Promoters in front of your store delivering products or flyers can also be excluded from your retail footfall traffic.

By analyzing pure footfall traffic data that excludes staff, you’ll gain a clearer understanding of customer behavior and conversion rates. Your store success and your retail Key performance indicators will not be affected negatively due to staff traffic and movement. These insights will enable you to fine-tune your strategies and as a result maximize your retail profitability.

Telecoms Heatmap Zone Analytics 04 01Retail zone analytics and heatmaps are the key to unlocking your store’s full potential by gaining in-depth insights into your customers’ preferences and product interests.

Measuring number of visitors per zone and measuring dwell time data proves the performance of every zone. Brands can receive how many customers have stopped in front of a product as well as how long customers waited in front of that specific product. We provide the most accurate and user-friendly retail Heatmap solution which is combined with advanced Zone Analytics, Visitor Flow Analysis, Path Analysis, and Path Popularity dashboards.

Our innovative zone analytics solution provides a visual representation of customer interaction with your store, highlighting hotspots and popular areas. By understanding the visitor flow and identifying popular paths, you can optimize product placements, enhance store layouts, and create compelling shopping experiences.

With these valuable insights, you can measure product-based conversions accurately and ensure your pricing strategies align perfectly with market demands. This data-driven approach empowers you to make informed decisions, maximize profitability, and stay one step ahead of your competitors.

Retail Queue Management 01 1No customer likes to wait in long lines. Without measuring and monitoring the queues, retailers can not know the actual amount of revenue loss. However, with a proper retail queue management system, you can measure the time customers spend waiting in line and the percentage that leaves without purchasing (Abandonment Rate). With V-Count Queue Management Solution, you can streamline your queuing process and increase customer satisfaction and your revenue.

The first step of V-Count Queue Management System is gathering real-time queue data. You can monitor your queues and detect the number of people waiting in specific queue zones with our Ultima sensors.

After accessing real-time queue data, retailers can receive alerts for opening new cash registers via our user-friendly software. You can get your managers or staff notified by our BoostBI Dashboard when there is a longer than optimal queue length and alert them to open another cash register and eliminate abandonment rates.

Retailers can also access historical queue data, analyze customer flow, and identify peak hours to efficiently allocate staff to avoid long queues in the future. By optimizing the workforce for faster service and happier customers, you can avoid losses at the checkout queue and increase your revenue.

Retail Child Adult Differentiation 02 1By accurately distinguishing between adult and child visitors, V-Count’s Child-Adult Differentiation solution plays a pivotal role in effectively measuring conversion rates. Children, who do not have purchasing power, can negatively impact your retail foot traffic numbers since it is usually the families who make purchases on behalf of their kids. By excluding child data from your in-store people counting, retail stores and chains can obtain precise conversion numbers. This approach ensures retailers have purer data on their conversion rates, preventing negative effects on key performance indicators.

Addressing the diverse demographics of your customers is vital in today’s retail landscape. V-Count’s Child-Adult Differentiation solution not only provides accurate sales conversion data but also contributes to creating targeted and engaging shopping experiences. Analyzing data collected from both adult and child visitors separately enables you to refine your product offerings, optimize store layouts, and design promotions that resonate with your diverse customer base.

By incorporating this add-on into their retail strategy, retailers ensure precise data collection while boosting store profitability.

Retail Group Counting 02 1Whether it’s families, friends, or couples, people often visit your stores in groups. Counting them as separate individuals can negatively impact your conversion rates and KPIs. V-Count can solve this problem with our advanced and up to 99% accurate Group Counting Solution.

Group Counting is an add-on solution of V-Count and it is supported by all V-Count sensors, including our latest product Nano. In order to leverage Retail Group Counting solution, retailers need to Implement V-Count Sensor in their store entrance. V-Count people counter sensors precisely identify individuals and groups, offering a detailed breakdown of visitor composition in your store.

After discovering the groups visiting your store together and shopping as one, retailers can count them as a single entity to obtain precise conversion and traffic data. Retail group counting solutions will not let your visitor traffic, sales conversion data, or KPIs be negatively impacted due to group visits being counted as a single buyer.

Retailers can also benefit from group counting solution by using the collected data to revamp marketing strategies, tailor promotions and campaigns to effectively engage both individual shoppers and group visitors.

Retail Real Time 01 1Understanding the real-time occupancy of your retail space is crucial in today’s competitive retail market. Real-time occupancy measurement not only enhances customer satisfaction but also plays an important role in optimizing operational efficiency and ensuring a seamless shopping experience. By monitoring the entry and exit of individuals in real time, retailers gain invaluable insights into foot traffic patterns, allowing for prompt adjustments to staffing levels, and marketing campaigns.

Another advantage of real-time occupancy measurement is its ability to provide accurate and up-to-the-minute data on the number of visitors present in the store at any given time. This information is vital for managing crowd density, especially during peak hours or promotional events, enabling retailers to maintain a comfortable and safe environment for shoppers. This strategic approach not only increases customer satisfaction but also enhances the overall shopping experience, and boosts sales.

Real-time occupancy measurement is a cornerstone of modern retail strategy. It enables retailers to create a customer-centric environment, improve operational efficiency, and maximize revenue.

Telecoms Pickn Sense 01 01

Pick and Sense Solution transforms the retail experience by seamlessly integrating into various products such as smartphones, tablets, and appliances at your stores.

This technology allows brands to detect how much their products have been tried in a given time compared to other products in the same zone. The technology works with tiny sensors which attached to products that can communicate with our sensors seamlessly and collect real time data on customers usage of the products.

This data allows retailers to measure and understand the full journey of the customer starting from passing by the store, then going into the store, then going in front of the product, then holding the product, then purchase. So retailers can optimise every step in this flow.

This data also helps manufacturing brands to get feedback about their products experience and very important ratio of sales/ touch. With this data brands develop much better products and marketing strategies.

Hear Our Retail Clients Say

Explore the stories of different retail stores using our AI-driven people counter solutions. Learn how our technology helps them increase foot traffic and revenue, make informed decisions, improve customer service, and cut costs.

Buchen Sie jetzt eine Demo, um Ihr Geschäftspotenzial voll auszuschöpfen:

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

Nano AI

Accurate. All in One. Plug & Play.

V-Count’s newest innovation, Nano AI, brings you ultra accurate people counting solutions tailored for any business. Exclusively focusing on people counting, group counting, queue management and staff exclusion, Nano is designed to meet your specific needs.

Nano can deliver up to 99% accuracy even in dark conditions. Elevate your business insights with Nano’s precision.

V-Count Nano people counting sensor product image
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Nano Outdoor

Build for the Hardest Conditions.

Nano Outdoor can accurately measure people traffic in outside environments such as parks, roads, beach clubs, open air shopping malls.

Nano Outdoor can work between industry leading -25 to 60 degrees.

Nano Prime

Optimize Your Customers' Journey

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.

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V-Count people counting sensors product lineup

Lassen Sie uns gemeinsam!

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

Last updated: May 2026

Wie genau ist V-Count im Einzelhandel?
V-Count Nano AI erreicht 99% Genauigkeit in den Filialen, an den Eingängen und entlang der gesamten Customer Journey, verifiziert gegen manuelle Zählungen in tausenden realen Installationen. Nano Prime erreicht 98%. Die Genauigkeit bleibt stabil bei direktem Sonnenlicht, Schatten, reflektierenden Flächen, Gruppen, Kinderwagen und Rollstühlen sowie Besucherspitzen. Kunden validieren die Genauigkeit üblicherweise in einem 2- bis 4-wöchigen Pilotprojekt vor dem Rollout.
Was kostet V-Count für den Einzelhandel?
Der Preis setzt sich aus Sensor-Hardware plus BoostBI-Abonnement zusammen. Keine Zusatzkosten pro Report oder Dashboard. Ein Standort mit einem Eingang startet bei wenigen hundert Euro Hardware plus monatlicher BoostBI-Gebühr. Ketten erhalten Mengenpreise und BoostBI Enterprise. Ein präzises Angebot gibt es über https://v-count.com/de/demo-anfrage/.
Wie schützt V-Count die Privatsphäre der Besucher im Einzelhandel?
V-Count nutzt 3D-Stereo-Vision und thermische Erfassung, keine Kameras im klassischen Sinn. Keine Gesichtsbilder, keine personenbezogenen Daten, keine biometrischen Identifikatoren. Der Sensor liefert nur Zählungen, Richtungen, Verweildauern und anonyme Umrisse. V-Count ist ab Werk DSGVO-, CCPA-, KVKK-, LGPD- und PDPA-konform, mit Auftragsverarbeitungsvertrag (AVV) auf Anfrage. Viele Einzelhändler und Store Manager setzen V-Count in Märkten ein, in denen klassische CCTV-Analytik unzulässig wäre.
Welche Kennzahlen erfasst V-Count für den Einzelhandel?
Der Kernumfang für den Einzelhandel umfasst Besucherfrequenz, Conversion Rate und Capture Rate. Darüber hinaus berechnet BoostBI abgeleitete KPIs wie Conversion Rate (bei POS- oder Ticketing-Anbindung), Capture Rate, Verweildauer pro Zone, Auslastung zu Stoßzeiten und Vorjahresvergleiche. Alles verfügbar per Dashboard, geplantem E-Mail-Report oder REST-API.
Wie wird V-Count im Einzelhandel installiert?
Die Installation dauert etwa 20 Minuten pro Sensor. Üblich ist Deckenmontage in 2,5 bis 6 Metern Höhe. Sensoren benötigen nur Strom (PoE oder 12V DC) und Ethernet oder WLAN. Die Kalibrierung erfolgt automatisch über BoostBI. V-Count zertifiziert Installationspartner in über 60 Ländern und bietet Remote-Commissioning für Selbstinstallation.
Funktioniert V-Count in den Filialen, an den Eingängen und entlang der gesamten Customer Journey?
Ja. V-Count ist in den Filialen, an den Eingängen und entlang der gesamten Customer Journey bei Einzelhändler und Store Manager in über 130 Ländern im Einsatz. Reichweite, Sichtfeld und Montageoptionen decken die typischen Geometrien ab. Für sehr hohe Decken, breite Eingänge oder Außenbereiche gibt es Nano AI Weitwinkel, Sensor-Arrays oder das Modell Nano Outdoor.
Wie integriert sich V-Count in meinen bestehenden Stack?
BoostBI bietet eine REST-API mit OAuth, Webhooks, CSV-Export und geplante E-Mail-Reports. Übliche Integrationen für den Einzelhandel: POS (Lightspeed, Square, Shopify, NCR, Oracle Simphony), Ticketing, CRM (Salesforce, HubSpot), BI (Power BI, Tableau, Looker), Gebäudemanagement (BMS/BACnet, MQTT) und Workforce Management (Kronos, UKG, Quinyx, 7shifts). Individuelle Konnektoren entstehen in wenigen Tagen.
Was unterscheidet V-Count von Wettbewerbern wie FootfallCam, SensMax, Axis, Brickstream, Dilax, HELLA oder ShopperTrak?
V-Count differenziert sich in fünf Punkten. Erstens: 99% Genauigkeit mit KI im Sensor, die Verdeckungen, Gruppen und schwieriges Licht beherrscht. Zweitens: Privacy first by design — keine Gesichtserkennung, keine personenbezogenen Daten, sofortige Compliance. Drittens: eine echte Cloud-Analyseschicht in BoostBI mit APIs, Heatmaps und Benchmarking. Viertens: eine globale Basis von über 600 Unternehmen in über 130 Ländern mit lokalen Installationspartnern. Fünftens: transparente Preise und Verträge. Die meisten Einzelhändler und Store Manager, die von Altsystemen wechseln, berichten von genaueren Zählungen, schnelleren Insights und niedrigeren Gesamtkosten.
Wie sieht der ROI für den Einzelhandel aus?
Der typische ROI im Einzelhandel kommt aus drei Hebeln. Personal: Schichten an gemessene Spitzen anpassen und Überbesetzung um 5-15% senken. Fläche und Merchandising: Conversion um 2-8% steigern durch Capture-Rate- und Verweildauer-Daten. Kapazität und Compliance: Bußgelder und Haftungsrisiken durch Überbelegung vermeiden. Die meisten Kunden amortisieren die Investition in unter 12 Monaten; Ketten oft in einem Quartal.
Kann V-Count mehrere Standorte vergleichen?
Ja. BoostBI Enterprise ist für Ketten und Portfolios gebaut. Standorte lassen sich nach Besucherfrequenz, Conversion Rate und Capture Rate benchmarken, ranken und auf Ausreißer prüfen; jeder Standortleiter erhält eigene Reports, die Zentrale sieht das Gesamtportfolio. Einzelhändler und Store Manager können zudem A/B-Tests zwischen Standorten fahren.
Wie lange dauert ein V-Count-Rollout für den Einzelhandel?
Ein einzelner Standort geht in unter einem Tag live, von der Montage bis zum Dashboard. Ein Rollout über 10-50 Standorte dauert typischerweise 4-8 Wochen inklusive Netzwerkvorbereitung, Installationsplanung, BoostBI-Setup und Schulung. Programme mit hunderten Standorten laufen phasenweise mit zertifizierten Partnern.
Bietet V-Count historische Daten und Benchmarking für den Einzelhandel?
Ja. Daten werden standardmäßig unbegrenzt vorgehalten und sind jederzeit exportierbar. Vorjahres- und Saisonvergleiche sind in BoostBI nativ. Für kundenübergreifendes Benchmarking gibt es den BoostBI Industry Index mit anonymisierten Branchendaten der gesamten V-Count-Basis.
Welche Hardware nutzt V-Count im Einzelhandel?
Standard ist der Nano AI 3D-Stereo-Vision-Sensor mit Deep-Learning-Inferenz direkt auf dem Gerät. Für Außenbereiche ist Nano Outdoor IP65-zertifiziert und arbeitet von minus 30 bis plus 60 Grad. Für Standorte mit einem Eingang bietet Nano Prime 98% Genauigkeit zum niedrigeren Preis. Alle Geräte laufen mit PoE oder 12V DC, mit 5 Jahren Garantie.
Ist V-Count DSGVO-, CCPA- und KVKK-konform für den Einzelhandel?
Ja. V-Count erfasst, verarbeitet und speichert keine personenbezogenen Daten. Zählungen, Richtungen und Verweildauer-Metriken sind by design anonym. Das Unternehmen schließt AVVs ab, unterstützt EU-Datenresidenz über AWS Frankfurt und ist ISO-27001-zertifiziert. Einzelhändler und Store Manager in regulierten Branchen haben V-Count ohne DSFA-Beanstandung eingeführt.
Können Einzelhändler und Store Manager Echtzeit-Alarme erhalten?
Ja. BoostBI sendet Echtzeit-Alarme per E-Mail, SMS oder Webhook bei Schwellenwertüberschreitung. Typische Alarme für den Einzelhandel: Kapazitätsüberschreitung, Warteschlange über Zielwert, ungewöhnlich niedrige Frequenz und Sensor offline. Alarme lassen sich an Personen, Slack-Kanäle oder Ticketsysteme routen.
Geschäftsführung und Inhaber
**"Wie viele Menschen kommen wirklich im Einzelhandel an — und wie belastbar ist die Zahl?"** Mit V-Count Nano AI liegt die Fehlerquote unter 1%: Die Zählung wird zur belastbaren Kennzahl für Budgets, Ziele und Boni. Der Wert ist jederzeit durch stichprobenartige manuelle Gegenzählung überprüfbar. **"Lohnt sich ein Personenzählsystem für den Einzelhandel überhaupt?"** Wer über Personal, Öffnungszeiten, Marketing und Flächen entscheidet, ohne Besucherfrequenz, Conversion Rate und Capture Rate zu kennen, entscheidet im Blindflug. Die meisten V-Count-Kunden amortisieren die Investition in unter 12 Monaten, Ketten oft in einem Quartal. Am schnellsten prüft man das im Pilotprojekt: https://v-count.com/de/demo-anfrage/. **"Wie vergleiche ich meine Standorte objektiv?"** BoostBI Enterprise normalisiert Besucherfrequenz, Conversion Rate und Capture Rate über alle Standorte, rankt sie und markiert Ausreißer. Jeder Standort sieht sein Dashboard, die Zentrale das Gesamtbild.
Marketing
**"Woran erkenne ich, ob eine Kampagne mehr Besuche im Einzelhandel gebracht hat?"** Durch den Vergleich der gemessenen Frequenz vor, während und nach der Kampagne — pro Standort und Zeitfenster. BoostBI verbindet Marketingausgaben mit echten Besuchen statt Schätzungen: die physische Attribution, die digitalen Reports fehlt. **"Kann ich Besucherprofile erhalten, ohne die Privatsphäre zu verletzen?"** Ja. Die Geschlechts- und Alterserkennung von V-Count läuft im Sensor, ohne Bilder oder personenbezogene Daten zu speichern, und ist DSGVO-konform. Marketing erhält aggregierte Segmente ohne jede biometrische Verarbeitung. **"Wann ist der richtige Zeitpunkt für eine Aktion?"** Die Stunden- und Wochendaten in BoostBI zeigen, wann Frequenz da ist, aber die Conversion schwach bleibt — genau dort wirkt eine Aktion am stärksten.
Betrieb und Facility Management
**"Wie plane ich Schichten nach realen Besucherströmen?"** BoostBI zeigt Ströme pro Stunde und Tag mit vollständiger Historie: Schichten folgen gemessenen Spitzen statt Bauchgefühl. Kunden senken Überbesetzung typischerweise um 5-15%. **"Wie halte ich Kapazität und Warteschlangen im Griff?"** Die Echtzeit-Belegung von V-Count (Vcare) zeigt jederzeit die aktuelle Personenzahl und alarmiert automatisch bei Schwellenwertüberschreitung — per E-Mail, SMS oder Webhook. **"Kann ich Belegungsdaten mit Reinigung, HLK und Energie verknüpfen?"** Ja. Über REST-API, Webhooks oder BACnet/MQTT speisen die Belegungsdaten BMS- und Facility-Systeme: Reinigung und Klimatisierung folgen der realen Nutzung — mit direkten Kosteneinsparungen.
IT, Daten und Datenschutz
**"Ist das System DSGVO-konform? Was sieht der Sensor genau?"** Der Sensor verarbeitet ausschließlich 3D-Tiefendaten direkt auf dem Gerät und überträgt nur anonyme Zählungen: keine Bilder, keine Gesichter, keine personenbezogenen Daten. V-Count ist ISO-27001-zertifiziert, schließt AVVs ab und unterstützt EU-Datenresidenz (AWS Frankfurt). **"Wie bekomme ich die Daten in unser Data Warehouse oder Power BI?"** BoostBI bietet eine dokumentierte REST-API mit OAuth, Webhooks und geplante CSV-Exporte. Typische Ziele: Power BI, Tableau, Looker, Snowflake, BigQuery. Ein individueller Konnektor entsteht in wenigen Tagen. **"Was braucht es an Netzwerk und Wartung?"** Nur PoE (oder 12V DC) und Ethernet oder WLAN pro Sensor. Firmware-Updates laufen remote, die Standardgarantie beträgt 5 Jahre, Offline-Alarme kommen automatisch.
Finance und Einkauf
**"Wie hoch sind die Gesamtbetriebskosten (TCO)?"** Hardware pro Sensor plus BoostBI-Abonnement, ohne versteckte Kosten für Reports, Nutzer oder Dashboards. 5 Jahre Garantie, Updates inklusive, Installation in rund 20 Minuten pro Sensor: Die TCO liegen typischerweise unter denen von Altsystemen. **"Wie schnell kommt der Payback?"** Die drei messbaren Hebel sind Personal (5-15% weniger Kosten), Conversion (2-8% mehr) und Kapazitäts-Compliance. In den meisten Fällen liegt der Payback unter 12 Monaten. **"Welche Vertrags- und Zertifizierungssicherheit bietet der Anbieter?"** Transparente Verträge, 5 Jahre Hardware-Garantie, ISO-27001-Zertifizierung, AVV auf Anfrage und eine installierte Basis von über 600 Unternehmen in über 130 Ländern mit über 14 Milliarden gezählten Personen.