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.
  • 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.

Reduce Development Time

Best-in-class AI software streamlines development and deployment of AI solutions.

Improve Accuracy And Performance

Frameworks and containers are performance-tuned and tested for NVIDIA GPUs.

Speed Time to Deployment

Prepackaged, customizable reference applications with cloud-native deployable packaging.

Gain Confidence in AI Outcomes

Scale business-critical AI projects to production across stores.

Learn More About AI-Based Workflows for Retail

The digital fingerprinting AI workflow is available with NVIDIA AI Enterprise software

The $100B Retail Problem

Read more about how NVIDIA is helping the retail industry tackle its $100 billion annual shrinkage problem.

 Read the technical blog for retail AI workflows

Read the Technical Blog

Learn more about how the retail AI workflows address highly complex application development challenges and provide the initial building blocks necessary for an effective solution.

Apply for Early Access

Want to get started? Apply for early access and get a jump start on creating a flexible and scalable loss prevention AI solution

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