客流计数器

在当今的零售和服务环境中，了解和管理客流对于优化运营、提升客户体验和改善安全至关重要。Phygrid 人流计数器利用先进的立体传感器精确测量门店客流量，使企业能够做出数据驱动的决策。

掌握客流分析以优化运营

立体传感器提供了一种尖端的人流计数解决方案，通过捕获监控区域的三维图像实现高精度。该技术能够精确区分个人、物体和阴影，即使在高密度环境中也能确保可靠的客流数据。

隆重推出 Phygrid 人流计数器

Phygrid 人流计数器不仅是计数工具；它是一个全面的解决方案，与排队管理和预约系统无缝集成。

核心功能：

__精确客流测量：__先进的立体传感器精确计数访客。
__排队管理集成：__根据占用数据自动管理客户排队。
__预约协同：__根据实测客流实时调整排程。
__实时占用监控：__实时跟踪指定空间的人数。
__可定制警报：__设置占用阈值，及时收到警报。
__数据驱动决策：__利用精准分析优化人员配置和营销策略。

Phygrid 人流计数器的优势

通过将人员配置与实际客流对齐提升运营效率。
通过高效排队管理改善客户满意度。
确保安全并符合占用法规。
获取客户行为和门店绩效洞察。

用 Phygrid 人流计数器提升您的业务

用 Phygrid 人流计数器迈入商业运营的未来，先进技术与战略空间管理相结合，通过数据洞察和高效客流管理推动成功。

Global operations

50+ countries

Signals per month

0.5+ Billion

Purchases per month

35+ Million

Story

Transforming retail through a connected suite of intelligent apps. From shopper engagement to operational insight, each app is built to enhance in-store experiences and deliver measurable results.

Social

See how our apps bring retail spaces to life. Follow us to explore real-world deployments, customer stories, and new ways data-driven experiences are shaping the future of stores everywhere.

Pricing

Flexible plans that scale with your store network. Choose the apps that fit your goals — from single-store pilots to global rollouts — and connect seamlessly with your edge infrastructure as your needs evolve.

Praise for Phygrid

The numbers speak for themselves. Customer engagement has been very positive since we launched.

Alex Bilbao H&M Business Development

AI driven mirror using speech and vision really helps the consumers passing through the store get familiar with their fashion.

Satya Nadella Microsoft CEO

Why Phygrid?

Cloud/Edge based
AI Enhanced
Composable
Secure & compliant
Great developer experience

One platform for everything physical in digital spaces. No one else comes close.

Feature	Phygrid	AWS Greengrass	Azure IoT Edge	Balena	NVIDIA Fleet
Feature	Phygrid	AWS Greengrass	Azure IoT Edge	Balena	NVIDIA Fleet
Multi-arch support Support for Intel, ARM, NVIDIA architectures.
GPU acceleration Hardware-accelerated computing capabilities.
ML framework support Support for machine learning frameworks.
OS & device management Operating system and device management capabilities.
Application management Application lifecycle management.
Employee / visitor UI/UX User interface for employees and visitors.
MLOps Machine learning operations and lifecycle management.
Peripheral management Management of connected peripheral devices.
MCP/LLMs environment interactions Multi-channel protocol and large language model interactions.
Analytics & dashboards Real-time analytics and dashboard capabilities.
Access management (location) Location-based access control and management.
Resilient Edge Network stack Robust edge networking capabilities.