移动POS与客户管理

Personalized Service
Boost Sales
Improve Efficiency

移动POS与客户服务

Phygrid的移动POS系统使门店员工能够在店内任何地方完成交易并提供个性化服务。

为什么选择移动POS

消费者期望快速和个性化的服务。移动POS将员工从固定收银台中解放出来，使他们能够在任何地方为客户服务。

Phygrid的移动解决方案

该系统包括带有POS软件、产品信息、客户历史记录和特殊订单功能的平板电脑或智能手机。

赋能您的员工

通过Phygrid的移动POS，每位员工都成为能够提供卓越服务并建立长期客户关系的个人顾问。

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.