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                  Driving Intelligent Retail with AI

                  Reduce Shrinkage. Drive Revenue.
                  Optimize Operations.

                  Innovative retailers are using AI-powered solutions to navigate the next wave of smart retail. With intelligent video analytics (IVA), AI-powered inventory management, and customer and store analytics, they’re improving margins and delivering better customer experiences.

                  小优视频
                  • LOSS PREVENTION

                    LOSS PREVENTION

                  • CUSTOMER AND STORE ANALYTICS

                    CUSTOMER AND STORE ANALYTICS

                  • OPERATIONS

                    OPERATIONS

                  Loss Prevention

                  Loss Prevention

                  Retailers worldwide are losing over $100 billion per year to shrinkage, and half of that is happening in North America.

                  Intelligent Video Analytics (IVA) can accurately and efficiently reduce shrinkage. By improving loss prevention at point-of-sale, reducing shoplifting throughout the store, and detecting burglary offenders,  employees can be notified in real-time for intervention.

                  Using existing camera systems, retailers can install IVA applications from NVIDIA software partners to improve loss prevention and significantly reduce shrinkage.

                  See how Malong is using product recognition to reduce shrinkage
                  AI in Retail: Powering the Store of the Future

                  AI in Retail: Powering the Store of the Future

                  IVA reduces shrinkage through improved loss prevention and enhanced safety and security

                  Learn how top retailers are implementing AI and IVA throughout their stores.

                  Customer and Store Analytics

                  Customer and Store Analytics

                  Online-shopping data and in-store data generated from point of sales, cameras, and sensors are ripe with insights that help determine customer preferences. IVA data can provide demographics and create heatmaps to reveal popular traffic areas inside stores.

                  Retailers are using this data to understand customer behavior and buying preferences, delivering online and in-aisle  promotions to drive revenue and deliver better shopping experiences.

                  See how AnyVision is optimizing the in-store experience
                  Using Algorithms to Understand Customer Preferences

                  Using Algorithms to Understand Customer Preferences

                  Stitch Fix created a fashion service that combines the art of personal styling with data analytics powered by GPU-accelerated deep learning.

                  Operations

                  Operations

                  AI-powered solutions—from forecasting and inventory management, to robotics, to autonomous shopping—are optimizing retail operations. This helps retailers improve warehouse logistics, optimize inventory management and reduce operation costs.

                  Forecasting and Inventory Management

                  Forecasting and Inventory Management

                  AI is improving demand forecasting and inventory management. For example, Walmart can train machine learning (ML) algorithms 20X faster with RAPIDS open-source data processing and ML libraries. Built on CUDA-X? AI and leveraging NVIDIA GPUs, RAPIDS has enabled Walmart to get the right products to the right stores more efficiently, react in real time to shopper trends, and realize inventory cost savings at scale.

                  See how Walmart is improving forecasting
                  Robotics

                  Robotics

                  Store associates are the face of retail organizations, so it makes sense to reduce the time they spend on tasks that aren’t customer facing, such as performing inventory counts, replacing misplaced items, or scanning for out-of-stock situations.

                  Large retailers are using new robotics technology to handle these basic, repetitive, and tedious tasks. The technology can scan items on store shelves to check stock levels, correct shelf location, and price accuracy. It can also sort items unloaded from trucks based on priority and department, allowing associates to shift inventory from storage to the sales floor more efficiently.

                  And smart assistants are helping large department stores run more smoothly by minimizing the time an employee spends checking inventory or cleaning floors, making more time for face-to-face customer service on the sales floor.

                  See how robots are tracking inventory at Lowe’s
                  See how Postmates is making local deliveries faster and smarter
                  Autonomous Shopping

                  Autonomous Shopping

                  Autonomous checkout locations are expected to increase 4X annually in the next three years. With autonomous checkout, retailers can provide customers with frictionless and faster shopping experiences, while increasing revenue and margins.  

                  Autonomous checkout solutions range from frictionless AI-enabled shopping carts, to nano stores and smart cabinets, to fully autonomous stores.

                  See how AiFi is automating the world’s stores

                  NVIDIA Jarvis for Conversational AI

                  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.

                  Trailblazing Retail Startups

                  These innovators are the powerful engineers of several new creations benefitting the retail industry. As part of the Inception program, NVIDIA’s startup incubator, they’ve developed game-changing GPU-based AI tools for retail Inception nurtures the entrepreneurship ecosystem by connecting pioneers to a massive network of deep learning experts and thought leaders. Explore some of the most fashionable applications at the forefront of the Fourth Industrial Revolution. 

                  Nvidia Industry Retail Anyvision

                  AnyVision — Streamlining Access with Facial Recognition

                  AnyVision is using facial-recognition capabilities to create a secure and seamless user experience.

                  Nvidia Industry Retail Malong Technologies

                  Malong Technologies — Classifying Unlabeled Images

                  Malong developed an AI algorithm that uses web data to identify products.

                  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 notification to store associates on shrinkage, and providing insights into customer demographics, and 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

                  The NVIDIA Tesla? GPU-accelerated computing platform dramatically speeds up deep learning and ML model training to deliver never-before-possible insights. From edge to data center, Tesla 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.

                  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, Transfer Learning Toolkit for tuning deep neural networks (DNNs), and NGC for containers and AI software.

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