As commercial real estate shifts to an era of asset management, park competition has moved from "location-based" to "data-driven." How can we precisely understand consumer behavior? How can we scientifically evaluate the commercial value of every square foot? These are critical pain points for all operators and a key focus of CRRC Science & Technology Park's digital transformation.
Recently, Wanfu Technology (Shenzhen) Co., Ltd. successfully deployed a new passenger flow data visualization system for a core project under CRRC Science Park. The system provides park operators with a holistic view and serves as a reference model for the smart transformation of traditional industrial parks.
From "Counting People" to "Measuring Value"
Traditional park management often relies on turnstile counts or coarse mobile signaling data. These methods lack the granularity needed to answer operators' core questions: Where are the cold zones in customer flow paths? How long do customers stay after entering a store? What is the traffic correlation between different business formats?
Leveraging our proprietary high-precision AI vision algorithms and thermal imaging fusion technology, the system achieves millisecond-level accuracy in identifying entrances/exits, internal traffic flows, anchor stores, and public areas—even in complex lighting conditions.
"What we're seeing now is more than just a number—it's a live foot traffic heatmap," said the operations manager of CRRC Science Park. "The visualization system clearly shows which corridors have the highest utilization and which atrium activities drive the most foot traffic, providing data-backed insights for leasing strategies and event scheduling."
Solving Large-Scale Park Management Challenges: Second-Level Response and Precision Alerts
For tech parks spanning tens of thousands of square meters, safety and efficiency are non-negotiable. By deploying crowd-counting devices at key locations, the analytics platform generates real-time heat maps with 1 to 10 minute granularity, automatically detecting area density. When congestion risks arise at popular photo spots or main entrances/exits, the system triggers automatic alerts and coordinates with security systems to manage flow and prevent bottlenecks.
This sub-second response capability not only ensures public safety but also enhances operational service: by analyzing usage frequency of restrooms, nursing rooms, and popular restaurants, the system optimizes cleaning schedules and staffing to achieve efficient resource allocation.
Data Monetization: How Visualization Dashboards Reshape Business Models
- Empower leasing: Use data on foot traffic, dwell rate, and conversion potential of specific units to scientifically assess commercial value and support dynamic rent adjustments for premium spaces.
- Precision Marketing: Cross-analyze foot traffic and spending data to measure the increase in store visit rates during promotions and identify the primary entry points of customers redeeming coupons. Ensure your marketing budget is spent where it matters most.
- Merchant Collaboration: Provide入驻 merchants with periodic data reports to help them track store foot traffic, bagging rates, and rankings within the park, strengthening data-driven relationships.
From experience-driven to data-driven, this partnership exemplifies the deep integration of technology and real estate. As a high-tech enterprise specializing in footfall analytics, big data, and smart IoT, Wanfu Technology empowers shopping malls, tech parks, and cultural tourism sites to accelerate their digital transformation through advanced deep learning algorithms, highly robust hardware deployments, and scenario-based data platforms.
