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.

 

Siemens and NVIDIA Partner to Build Industrial Metaverse

Connecting the Siemens Xcelerator ecosystem with NVIDIA Omniverse’s AI-enabled, physically accurate simulation engine enables a new era of industrial automation.

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    Intelligent
    Stores

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    Demand
    Forecasting

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    Warehouse
    Logistics

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    E-Commerce and
    Recommenders

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    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.

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.​

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 management in supply chains 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.​

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 GPU-powered machine learning and deep learning algorithms for faster, more accurate recommendation engines, which can improve revenue by 60 percent.​

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.

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.

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.

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.

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.

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.

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.

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. 

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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.

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