Driving Intelligent Retail with AI

                          Reduce Shrinkage. Drive Revenue.
                          Optimize Operations.

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

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                          • 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.

                          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.

                          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.

                          Watch Walmart Labs Video
                          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.

                          Watch Lowe's and Fellow Robot Video
                          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.

                          Watch AiFi Video

                          AI Retail from Edge to Data Center to Cloud

                          Accelerated Computing at the Edge

                          Accelerated Computing at the Edge

                          NVIDIA’s edge solutions are designed to gather and analyze continuous streams of data at the network’s edge. AI computation is performed completely in the stores, providing real-time notification to employees on shrinkage, customer demographics, traffic and more.

                          NVIDIA edge solutions enable retail applications to deliver low-latency interactions, reduced bandwidth to the cloud, and data privacy. NVIDIA? Tesla? T4  and NVIDIA Jetson? edge GPUs deliver the most powerful edge computing systems for these IVA and ML applications.

                          Powerful Computing for Data Centers

                          Powerful Computing for Data Centers

                          The NVIDIA Tesla GPU-accelerated computing platform dramatically speeds up training of deep learning and ML models to deliver insights that weren’t possible before. 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 such as 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 Green Grass.

                          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), NGC for containers and AI software, and much more.

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