Create a New Era of Smarter Retail

Improve Forecasting. Increase Revenue. Reduce Shrinkage.

Leading retailers are leveraging AI to reduce shrinkage, improve forecasting, automate warehouse logistics, determine in-store promotions and real-time pricing, enable customer personalization and recommendations, and deliver better shopping experiences—both in stores and online.

 

The Developer Conference for the Era of AI and the Metaverse

Conference & Training September 19 - 22 | Keynote September 20

The Developer Conference
for the Era of AI and the Metaverse

Conference & Training September 19 - 22 | Keynote September 20

Join the leading technology conference for the era of AI to discover why top retail companies are investing in simulation and digital twins.

  •

    Lowe’s: Fully Digitizing the World of Home Improvement
    • Cheryl Friedman, VP of Lowe’s Innovation Labs, Lowe’s
    • Mason Sheffield, Sr. Director of Creative Technology, Lowe’s Innovation Labs, Lowe’s

    Join this session to learn how FORTUNE 50 retailer Lowe's is building the future of home improvement. From products to stores to customers’ homes, Lowe's is using digital twins to create new possibilities. Whether helping customers visualize the result of their room redesign or running simulations to optimize the layout of each store, Lowe’s is removing friction from home improvement.

    View Details >

  •

    Customer-Driven Grocery Enabled by NVIDIA AI at Kroger: Fireside Chat with Wes Rhodes and Azita Martin
    • Wesley Rhodes, VP of Technology Transformation and Research and Development, Kroger
    • Azita Martin, VP and GM of AI for Retail and GPG, NVIDIA

    Kroger and NVIDIA embarked on a strategic collaboration earlier this year to reimagine the shopping experience using AI-enabled applications and services. Join Wes Rhodes, Kroger’s vice president of technology transformation and R&D, for a fireside chat on the progress his team has made in the fields of digital twins, AI, and NVIDIA Omniverse™ Avatar. These technologies and more are being adopted at Kroger to improve customer focus and the customer experience while delivering value to Kroger’s bottom line.

    View Details >

  •

    How to Build a Digital Twin: Full-Design-Fidelity Visualization and Aggregation of 3D Data
    • Brain Harrison, Director of Software Product Management, NVIDIA

    Start learning how to build a digital twin in NVIDIA Omniverse. Building a digital twin is a complex process and there are multiple ways to get started. We'll walk through a generalized example of one of the most common challenges in large-scale design and digital twin projects — being able to aggregate disparate 3D datasets (i.e.g., CAD, design, animation, or simulation) from many software ecosystems, and visualize them in full-design fidelity with no data loss or model decimation. Learn how NVIDIA Omniverse’s connected and collaborative Universal Scene Description-based workflows can help unite and unlock your data, and see examples of Omniverse Connectors and understand what questions to ask to determine which are best for your workflow. Be sure to check out "How to Build a Digital Twin: Bringing in Robotics" as a follow-up session.

    View Details >

Register Free
See AI in Retail Sessions
Register Free
See AI in Retail Sessions
Three headshots with varying dark gray to dark purple backgrounds. The left headshot features a man in a gray shirt with a gold banner that reads Stephen Jones, NVIDIA. The middle headshot features a woman in a red shirt with a gold banner that reads Anima Anandkumar, NVIDIA. The right headshot features a man in a black shirt and gray collar with a gold banner that reads Ian Buck, NVIDIA.
  • Intelligent<br> Stores

    Intelligent
    Stores

  • Demand<br> Forecasting

    Demand
    Forecasting

  • Warehouse <br>Logistics

    Warehouse
    Logistics

  • E-Commerce and<br> Recommenders

    E-Commerce and
    Recommenders

  • Conversational<br> AI

    Conversational
    AI

Intelligent Stores

Intelligent Stores

Using data from cameras and sensors, retailers are leveraging AI to reduce shrinkage, eliminate stockout, and gain visibility into customer behaviors. The same infrastructure can also power faster checkouts. Explore the many ways retailers are using AI to create intelligent stores: store simulation, asset protection, autonomous shopping, stockout and inventory management, store analytics, store operations, personalized promotions, and augmented reality experiences.

Visit Webpage 
Forecasting and Inventory Management

Forecasting and Inventory Management

Using AI and predictive analytics, retailers are improving demand forecasting and inventory management. By tapping into data insights from various sources, they’re ensuring the right products are in the right store at the right time and optimizing their supply chains.​

Visit Webpage 
AI in Warehouse Logistics

AI in Warehouse Logistics

Warehouse logistics is the art of optimizing, integrating, automating, and managing the flow of products in fulfillment or distribution centers. Combining NVIDIA’s AI solutions for intelligent video analytics (IVA), robotics, automation, and supply chain management leads to operational efficiency and a higher process throughput.

Warehouse robots processing orders can evaluate all variables before making decisions and adapt as situations change. With automated reporting, they can optimize routes, delivering end-to-end visibility and increased accuracy of the orders being picked, packed, and shipped.​

Visit Webpage 
Recommendation and Visual Search

Recommendation and Visual Search

Understanding customer behavior has never been more critical for retailers looking to drive growth. ​AI applications powered by video analytics can give retailers the same visibility into customer behavior ​in stores as they currently have online. ​
​
With insights into popular aisles, dwell times, and demographics, retailers can improve merchandising and offer real-time promotions in store to increase revenue and provide a better experience. ​
​
For e-commerce, retailers are using NVIDIA GPU-powered machine learning and deep learning algorithms for faster, more accurate recommendation engines, which can improve revenue by 60 percent.​

Visit Webpage 
 Listen to the podcast
NVIDIA EGX Stack

Conversational AI

Retailers are personalizing customer experiences, turning consumer data into actionable insights, and improving customer service with real-time conversational AI. NVIDIA is making it possible with the NVIDIA Riva SDK, an end-to-end workflow for speech recognition and speech synthesis, language understanding, and more. Riva includes world-class automatic speech recognition (ASR) and text-to-speech (TTS) that runs in real time. The Riva custom voice feature makes it possible for any enterprise to create a unique voice for their brand, virtual assistant, or call center with only 30 minutes of data. It can be further tuned for different languages, accents, domains, vocabulary, and context.

Learn More 

Ecosystem of Retail Software Partners

These are the powerful engineers of several new innovations benefitting the retail industry. Some are mature companies, and others are part of the NVIDIA Inception program, NVIDIA’s startup incubator, where they’ve developed game-changing, GPU-based AI tools for retail. Explore who’s at the forefront of the fourth Industrial Revolution, powering new capabilities for intelligent stores, warehouse logistics, and omnichannel management.

Deep North—Improving In-Store Experiences with AI Insights

Deep North—Improving In-Store Experiences with AI Insights

Deep North lets brick-and-mortar retail stores and transportation hubs reclaim consumer traffic from the digital world to create better customer experiences.

Read Solution Brief 
Clarifai—Accelerating AI-Assisted Data Annotation

Clarifai—Accelerating AI-Assisted Data Annotation

Clarifai’s new Labeler tool aids data scientists by slashing the time to annotate images.

Read Blog 
AiFi—Enabling Nano Stores and Smart Cabinets

AiFi—Enabling Nano Stores and Smart Cabinets

AiFi is automating the world’s stores and providing AI-enabled auto checkout solutions for everyone.

Watch Video 
Dematic—Managing and Scaling AI Deployments

Dematic—Managing and Scaling AI Deployments

Dematic is using AI at the edge to manage their applications, servers, and software deployments from anywhere, at any time.

Watch Video 

AI Retail from Edge to Data Center to Cloud

Real-Time AI at the Edge

Real-Time AI at the Edge

The ability to glean faster insights can mean saving time, reducing cost, and improving customer experiences. That’s why retailers are looking to tap into the data generated from the billions of IoT sensors found in stores, warehouses, and throughout supply chains. NVIDIA’s edge computing solutions are designed to gather and compute continuous streams of data at the network’s edge, delivering real-time notifications to store associates on shrinkage and insights into customer demographics, shopping preferences, and more.

Learn More 
Powerful Computing for Data Centers

Powerful Computing for Data Centers

NVIDIA DGX™ systems, which integrate 8eight NVIDIA A100 Tensor Core GPUs, interconnected with NVIDIA® NVLink® and NVIDIA NVSwitch™, and are designed to architected for delivering the fastest time- to- solution on the world’s most complex AI challenges facing retailers. From improving forecast accuracy to preventing inventory loss to delivering enhanced customer experiences, DGX systems, including NVIDIA DGX A100 and NVIDIA DGX SuperPOD™, deliver the performance and scale needed to deliver faster ROI on transformative AI use cases for retail.

NVIDIA DGX™ A100 is the universal system for all AI workloads, offering unprecedented compute density, performance, and flexibility in the world’s first 5 petaFLOPS AI system.

Learn More 
Democratization, from Data Center to the Cloud

Democratization—from Data Center to the Cloud

NVIDIA GPUs are available in all major cloud platforms worldwide, and the NVIDIA NGC™ catalogC™ provides GPU-accelerated software containers for easy deployment, including deep learning frameworks like TensorFlow, PyTorch, MXNet, and more. NVIDIA Metropolis is also available in the cloud, fully integrated with Azure IoT Edge and soon to be integrated with AWS IoT Greengrass. 

Learn More

NVIDIA’s software libraries and software development kits (SDKs) create a scalable solution that enables customers to deploy inference and AI in the cloud, on their servers, or at the edge. These SDKs include NVIDIA Jetson™, the embedded platform for AI at the edge, DeepStream for intelligent video analytics (IVA), NVIDIA Isaac™ for robotics, NVIDIA® TensorRT™ for inference, TAO Toolkit for tuning deep neural networks (DNNs), and NGC for containers and AI software.

Learn More

NVIDIA Partners for Retail

NVIDIA solutions for the retail industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products, and services.

Explore Our Partners

Sign up for the latest retail news from NVIDIA.

Subscribe Now

Get the Latest from NVIDIA on Retail Industry Solutions Powered by AI

  1. Section
Send me the latest enterprise news, announcements, and more from NVIDIA.

NVIDIA Privacy Policy

Corporate Information
Get Involved
News & Events