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BeeCrowdy Space

Real estate development aims to improve the vitality and liveliness of communities and neighborhoods. Mixed-use developments present a unique challenge, as they require a deep understanding of how different land uses interact with one another and the surrounding community. The BeeCrowdy technology allows you to gain valuable insights into daily usage by monitoring and analyzing the comings and goings of people in the area. By relating this data to past usage patterns, you can make informed decisions about how to shape and develop your area according to your vision actively and to create a more vibrant community.

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Stay informed about your space. Monitor the hourly traffic and demographic information of distinct zones within your area of interest. Benchmark this information against the surrounding areas and past data to identify trends and patterns. Evaluate the impact of external factors, such as weather or vacations, on daily visitor traffic every month.

BeeCrowdy Space will soon evolve

New data sources, set to be integrated in the third quarter of 2023, will enable explicit calculation within the area of interest, providing even more in-depth insights.

Insight

Provides you with a close look at the crowd. Mobility information is collected explicitly for the area of interest to provide more insights into the behavior of visitors. For example, different types of visitors can be identified, such as commuters or residents. Additionally, information on dwell time, demographics, and the catchment area is gathered. When combined with an external factors analysis, this data helps you understand how the site is used and any changes that occur over time.

Vision

Activate the full power of the BeeCrowdy technology. It allows you to understand how visitors travel to and from the area, how the catchment area changes throughout the week, and how the crowd is influenced by opening hours. Furthermore, detailed reports are provided, giving you deeper insight into the impact of events on footfall and visitation patterns.

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