Your People Counting App

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Develop Your Own People Counting Solution with Bienport

Bienport IoT Cloud Platform provides your company with a proven foundation to create a unique, fully branded people counting and occupancy analytics solution. Unlike fixed off-the-shelf products, our approach combines a ready-to-use SaaS backbone with project-based development, enabling you to deliver an advanced, customer-specific solution under your own brand.

With Bienport, you can start from a strong base: multi-brand device integrations, APIs for ERP/CRM

systems, central dashboards, and mobile-ready interfaces. From there, we collaborate to design new modules—whether it’s heat maps, queue time analytics, mobile signal detection, loyalty integrations, or predictive workforce recommendations. This ensures that your solution is not only fast to deploy but also future-proof, tailored to your market, and scalable as your business grows.

Proven Experience

Since 2012, Bienport has delivered IoT solutions for energy, retail, transport, and security industries. Our track record includes thousands of deployed counting devices, integrations with Hella, Xovis, Axis, and Teltonika, and ERP connectors with MS Dynamics AX and Nebim. This means your project starts with a trusted, field-tested backbone while giving you full freedom to innovate.

What Comes Ready vs.

What We Build Together​

Bienport already includes:

  • Multi-tenant SaaS architecture with clustering and high availability
  • Device-agnostic integrations with leading counter brands
  • REST APIs for ERP/CRM and e-commerce systems
  • Responsive dashboards and reporting engine
  • Alarm & ticketing modules for device monitoring

Together with Your Company, we extend this with:
  • Integration of new counting devices, Wi-Fi/Bluetooth trackers, or vehicle passenger counters
  • Development of heat maps, route maps, and cross-channel conversion reports
  • Mobile applications (iOS/Android) with custom user interfaces
  • Loyalty & promotion calendar integration with external data such as weather
  • Business Intelligence and predictive analytics modules that turn raw counts into actionable staffing, sales, and conversion recommendations

Your Company’s Product, Powered by Bienport

We are not offering a white-label package. Instead, Bienport acts as the engine behind your company’s own branded solution. You decide the customer experience, pricing model, and roadmap, while we provide the underlying technology and proven integrations to accelerate your market entry.

Real-World Applications Across Industries

From retail stores and shopping malls to libraries, museums, airports, and buses—Bienport already powers large-scale counting and analytics deployments. Passenger boarding/disembarkation, store capture rates, staff filtering via Wi-Fi MAC exclusion, and market index benchmarking are just some of the scenarios we’ve successfully implemented.

A Platform that Grows with You

The modular architecture allows you to start with core counting functions and gradually expand. Add face recognition, license plate recognition, loyalty systems, or advanced BI analytics whenever your business and customers are ready—without changing the backbone.

Future-Proof with AI & Predictive Analytics

Bienport goes beyond traditional reporting by embedding advanced AI and machine learning into its core. Instead of simply showing past activity, the platform continuously learns from historical data, seasonal patterns, and external factors such as weather or events. This enables your company to deliver forward-looking insights that anticipate customer flows, market fluctuations, and operational demands before they occur.

The result is a solution that adapts as conditions change. From predicting emerging traffic trends to recommending optimal staffing, product placement, or promotional timing, Bienport transforms raw visitor data into strategic foresight. By positioning your offering around predictive intelligence, your company can deliver not just monitoring, but a competitive advantage that grows stronger over time.