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.

 
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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 five ways retailers are using AI to create intelligent stores: public safety, asset protection, store analytics, autonomous shopping, and store operations.

Forecasting and Inventory Management

Forecasting and Inventory Management

AI is also improving demand forecasting and inventory management. Demand forecasting uses data from various sources to ensure the right products are available in the right store at the right time. ​

Using machine learning to improve forecast accuracy has a significant impact on optimizing the supply chain.​

Effective forecasting takes more than demographics and location into consideration. Many external events such as weather or local sporting events can impact supply and demand too. Leveraging NVIDIA RAPIDS software libraries on NVIDIA GPUs, retailers can accelerate training of their machine learning algorithms by up to 20X. This means that they can use more data and process it faster with more accuracy. ​

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 higher process throughput.

GPU-powered AI adds a level of consciousness to the operation, leveraging physical and virtual properties to increase real-time performance and accuracy. 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

Natural language processing (NLP) helps retailers personalize customer experiences, turn consumer data into actionable insights, and improve customer service. NVIDIA enables real-time conversational AI by optimizing the training and inference of BERT, a popular NLP model. NVIDIA Riva, which runs on the NVIDIA EGX enterprise platform, also makes it easier for retailers to build and deploy AI applications by fusing deep learning models for speech recognition and speech synthesis, language understanding, and vision.

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.

NVIDIA AI Consulting Partner Network

Service Delivery Partners have special expertise in the transformational business benefits afforded by deep learning (DL), machine learning (ML), and artificial intelligence (AI). Learn about the consulting services they provide, as well as impactful solutions specifically for critical use cases in retail like asset protection and predictive analytics.

AI Retail from Edge to Data Center to Cloud

Real-Time AI at the Edge

Real-Time AI at the Edge

NVIDIA’s edge solutions are designed to gather and compute continuous streams of data at the network’s edge. AI computations are performed entirely in the store, delivering real-time insights and notifications to store associates on shrinkage and providing insights into customer demographics, shopping preferences, and more.

Smart retail is possible with today’s powerful AI and the NVIDIA EGX platform, which brings the power of accelerated AI computing to retail stores.

Powerful Computing for Data Centers

Powerful Computing for Data Centers

NVIDIA Tensor Core GPUs dramatically speed up deep learning and machine learning model training to deliver never-before-possible insights. From edge to data center, Tensor Core GPUs are available from every major computer system and server manufacturer to accelerate training of AI models. They’re also available in NVIDIA DGX™ systems, which are equipped with the DGX software stack for rapid AI deployment to meet the demands of deep learning and machine learning developers.

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 NGC 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 is soon-to-be integrated with AWS IoT Greengrass.

NVIDIA’s software libraries and 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 JetPack for embedded, DeepStream for 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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