实体店中的人工智能

用StoreAI增强购物体验（2023年5月）

每个人都在谈论人工智能以及它将如何改变世界。但零售商不需要空谈——他们需要解决方案。

这正是Ombori所提供的——人工智能驱动的门店数字化解决方案能够快速增强购物体验。

加入我们一起发布StoreAI Phygrid的最新增强功能。

除了ChatGPT和OpenAI之外StoreAI还将包含提供门店测绘、3D建模和按需图像创建的专家系统。

我们将向您展示如何使用为零售商设计的预配置AI解决方案以提高生产力并创造令人难忘的购物体验。

议程

介绍
欢迎
StoreAI发布
Pointr - AI导航地图 - Jessica Milan
StoreAI聊天机器人
向StoreAI添加知识
StoreAI虚拟形象
Volumental - AI鞋码测量 - Alper Aydemir
Microsoft Azure上的OpenAI - ShiSh Shridhar
感谢与总结

演讲嘉宾：

Andreas Hassellöf, Ombori
ShiSh Shridhar, Microsoft
Alper Aydemir, Volumental
Jessica Milan, Pointr

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.