自助结账

Speed Checkout
Improve Efficiency
Drive Sales

通用结账挑战

各行各业的零售商都面临着提供快速、高效结账流程的挑战。传统的人工收银台在购物高峰期可能造成瓶颈，导致客户不满。在便利至上的时代，迫切需要一种能适应各种零售环境的多功能结账解决方案。

灵活结账系统的重要性

灵活的自助结账系统对于满足当今购物者的多样化需求至关重要，为他们提供对购物旅程的掌控。这样的系统不仅通过减少等待时间提升客户体验，还允许零售商更有效地分配员工资源，提升整体门店运营。

隆重推出 Phygrid 自助结账：多功能解决方案

Phygrid 自助结账提供全面、用户友好的平台，专为各行业零售商设计。该解决方案简化了支付流程。

核心功能：

__广泛适用性：__从时装到杂货、电子产品，Phygrid 服务于广泛的零售领域。
__增强购物体验：__客户享受快速、无缝的结账流程。
__运营效率：__释放员工投入客户服务和其他增值活动。
__集成和可扩展性：__轻松与现有门店系统集成。

传统自助结账与 RFID 增强方案的选择

时装零售商可以通过 RFID 技术进一步提升体验。

为什么是现在？自助服务的竞争优势

在当今竞争激烈的零售环境中，实施 Phygrid 自助结账等自助服务技术不仅是运营决策，更是满足客户对速度和便利期望的战略举措。提供自助结账选项可以显著提升客户体验。

用 Phygrid 自助结账拥抱效率

用 Phygrid 自助结账的效率和灵活性提升您的零售运营。

将您门店的结账流程转化为竞争优势，确保每位客户都带着对您品牌的积极印象离开。

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.