Pistor AG

Pistor bases booth design, communication and logistics on real visitor data, captured in real time.

How Pistor strategically plans trade show spaces by their visitors’ movement patterns.

Targeted deployment of booth staff

Catering based on real demand

Pistor deploys Biem at trade show exhibits and large-scale events. At the center is the question of how visitor flows can be measured in real time and events managed on that basis.

Visitor flows at trade shows and events

At trade show exhibits and large-scale events, Biem measures how visitors move across the booth and event area and where they linger. Booth design, staff deployment and catering are thus guided by real visitor data instead of past experience.

The challenge

At trade shows and large-scale events, many decisions are made within a short time. How many visitors are on site? Which areas perform particularly well? Where do bottlenecks arise? How must staff, catering or logistics respond? If reliable real-time data is lacking, these decisions often rest on observation and experience.

The Biem solution

Pistor uses Biem for different event formats.

Trade show exhibits

Paths, density maps and footfall analyses show:

  • which areas are particularly heavily visited
  • how visitors move throughout the booth
  • where longer periods of stay arise
  • how layout and communication perform
  • how booth staff can be deployed in a more targeted way

Large-scale events

At events, temporarily installed sensors and dashboards continuously deliver current information on visitor footfall. Catering and logistics thus respond faster to changes.

The impact

Pistor gains an objective basis for the planning and optimization of events. At trade show exhibits, booth design and staff deployment continue to evolve on the basis of real visitor data. At large-scale events, real-time information helps to align the service capacities with actual demand and to avoid unnecessary overproduction.

Biem can be deployed on a temporary basis and configured for different event formats. In this way, an individual measurement becomes a reusable data foundation for future events.

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The dawn of a new era in retail.