Solutions: AI Workflows
Retail Store Analytics
Gain actionable store insights with advanced video analytics for retail.
Gain Actionable Insights With Vision AI
The retail store analytics AI workflow enables developers to create end-to-end retail vision AI applications for store analytics using custom dashboards. Developers can leverage and customize the workflow for a variety of analytics, including queue analytics, shopper occupancy, dwell time and trajectory, heat mapping of the customer journey, proximity, line crossing, and regions of interest.
These attributes can be easily modified to include information about specific use cases that are customized to individual stores. Stores can use this information to optimize staffing, enhance store merchandising and layout, and improve customer experience to maximize sales.
Explore the Retail Store Analytics AI Workflow
Built on cloud-native NVIDIA Metropolis microservices — a low- or no-code way to build AI applications — this AI workflow delivers pretrained AI models along with the applications needed to
jump-start development and deliver actionable store insights.
The workflow contains:
- Pretrained models for detection and creation of feature embeddings.
- Behavior analytics and learning.
- Customizable analytics dashboards to deliver insights including queue, occupancy, dwell time, heat maps, and more.
- Fully customizable reference application for deploying in production.
- Guidance on how to train and customize your AI workflow.
This fully modularized, cloud-native microservice architecture can be deployed, managed, and scaled using Kubernetes and Helm.
Apply for Early Access
Please complete this short application for early access to the retail store analytics AI workflow.
Please note that you must be a registered NVIDIA Developer to join the program. Log in using your organizational email address. We cannot accept applications from accounts using Gmail, Yahoo, QQ, or other personal email addresses.
Key Benefits of the Retail Store Analytics AI Workflow
Pretrained Models
The AI models in this workflow are pretrained to detect and create feature embeddings of objects, deliver behavior analytics and learning, and more.
Custom Dashboards
Create end-to-end retail vision AI applications for store analytics using custom dashboards.
Flexible Reference Architecture
Delivered through cloud native microservices, this fully customizable AI workflow allows users to jump-start the development and deployment of retail store analytics solutions.
Accelerate the Development of AI Solutions
AI workflows accelerate the path to AI outcomes. This workflow provides a reference for developers to rapidly start creating a flexible and scalable AI solution for retail store analytics.
