逆向自动售货机

引领回收领域的可持续变革

在追求可持续发展的道路上，逆向自动售货机（RVM）已成为鼓励回收和促进环保责任的强大工具。Phygrid 与回收解决方案领导者 Tomra 合作，推出创新方法将 RVM 与数字技术整合。

数字集成在回收中的作用

数字集成在增强 RVM 功能性和吸引力方面发挥着关键作用。通过将 RVM 与 Phygrid 数字平台和忠诚度计划连接，我们不仅简化了回收流程，还为用户提供即时奖励和反馈。

隆重推出 Phygrid-Tomra RVM 解决方案

我们的协作解决方案将 Tomra 的 RVM 技术与 Phygrid 的数字能力相结合。

核心功能：

__忠诚度计划集成：__用户通过回收瓶罐在忠诚度账户中累积积分。
__数字标牌教育：__实时显示环境影响统计数据。
__二维码扫描奖励：__扫描二维码领取奖励和参与促销活动。
__应用推广：__展示通过应用追踪回收努力的便利性。

Phygrid-Tomra RVM 解决方案的商业优势

__增强客户互动：__通过奖励回收建立品牌忠诚度和积极的公众形象。
__推动应用下载：__无缝的 RVM 体验鼓励用户下载和使用品牌应用。
__加入忠诚度计划：__回收获得即时奖励，激励客户积极参与忠诚度计划。
__推广可持续实践：__将企业定位为可持续发展的领导者。

用 Phygrid 和 Tomra 改变回收

拥抱 Phygrid 和 Tomra 的回收未来，让数字创新与环保责任相结合，一瓶一罐推动可持续变革。

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.