IMPROVE FORECASTING.
INCREASE REVENUE.
REDUCE SHRINKAGE.
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
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
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. 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.
Conversational AI
Natural language processing (NLP) is helping retailers personalize experiences for customers and improve customer service. It’s also used to compile and analyze consumer data to derive actionable insights. NVIDIA is enabling real-time conversational AI by optimizing the training and inference of BERT, a popular NLP model.
NVIDIA Jarvis is a platform for building and deploying AI applications that fuse deep learning models for speech recognition and speech synthesis, language understanding, and vision. Jarvis runs on the NVIDIA EGX stack, which is compatible with all commercially available Kubernetes infrastructure.
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.
DO YOUR LIFE’S WORK FROM ANYWHERE
As the world shifts to remote work, consumer buying trends are shifting with it—and retail professionals from IT managers to data scientists need to keep up with those trends. Explore how GPU-powered hardware and virtualization software can help your organization digitally transform and keep pace with a changing world.
ECOSYSTEM OF RETAIL SOFTWARE PARTNERS from NVIDIA
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’s new Labeler tool aids data scientists by slashing the time to annotate images.
READ BLOG
Everseen—Scaling Asset Protection and Inventory Accuracy with Edge AI
Everseen is using computer vision and deep learning to bring real-time insights to retailers, boosting asset protection and streamlining distribution processes.
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Malong Technologies—Classifying Unlabeled Images
Malong is improving efficiencies and using intelligent video analytics to accurately reduce shrinkage and improve self-service in stores.
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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 is using AI at the edge to manage their applications, servers, and software deployments from anywhere, at any time.
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AI RETAIL FROM EDGE TO DATA CENTER TO CLOUD
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.
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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 at sysGen 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
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.
LEARN MORENVIDIA’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, Transfer Learning Toolkit for tuning deep neural networks (DNNs), and NGC for containers and AI software.
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