扫描即走

Speed Checkout
Enhance Convenience
Drive Sales

现代购物解决方案

Scan & Go技术使客户能够使用智能手机扫描产品并自行结账，提供快速无缝的免排队购物体验。

为什么选择Scan & Go

在消费者重视便利和速度的世界中，Scan & Go解决方案使零售商能够满足这些期望同时降低运营成本。

Phygrid的Scan & Go解决方案

Phygrid提供集成的Scan & Go系统，包括移动应用、POS集成和库存管理工具。

转变结账体验

随着消费者对无摩擦购物的期望不断提高，Phygrid的Scan & Go将您的商店置于零售创新的前沿。

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.