赋能零售员工

Streamlined
Personalized
Informed

用全渠道工具提升服务和效率

Phygrid 超越传统的零售数字化，专注于为员工提供实现卓越服务和运营效率所需的工具。我们的平台通过为员工配备先进、直观的工具来增强客户的店内体验。

统一的任务管理实现全渠道卓越

Phygrid 的突出特点是其强大的任务管理系统，能够无缝处理各种操作。该系统展示了我们如何通过跨不同服务点整合任务来简化全渠道运营。

示例：连接线上和线下体验

设想这样一个场景：一个线上订单需要从店内库存发货，同时智能试衣间中的客户请求不同尺码。Phygrid 的任务管理系统智能地在同一平台内为两种场景创建任务。试衣间请求自动优先于线上订单履行，确保店内客户需求得到及时满足。

无缝 CRM/CDP 集成实现个性化服务

与 CRM 和 CDP 系统的集成确保员工可以即时访问最新的客户信息，使他们能够提供个性化服务。

实时分析支持明智决策

获取实时数据和分析使各级员工都能做出明智的决策。

全面培训掌握数字工具

为确保员工能够充分利用这些数字工具的潜力，Phygrid 提供详细的培训资源和持续支持。

通过简化全渠道运营并为员工提供先进的数字工具，Phygrid 正在为零售效率和个性化客户服务树立新标准。

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.