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AI and simulation solutions are delivering better-than-ever efficiency and intelligence to the supply chain, ensuring retailers never miss a beat and can meet customers expectations. With intelligent video analytics (IVA), robotics, automation, and management, operations become more efficient, process throughput accelerates, and warehouse robots deliver end-to-end visibility, increasing the accuracy of orders picked, packed, and shipped.
NVIDIA AI and simulation solutions are delivering better-than-ever efficiency to the supply chain.
Learn about the most important AI use cases for intelligent stores.
Optimizing the distribution center.
NVIDIA Omniverse™ is a cooperative platform that lets businesses simulate their entire warehouse, run multiple scenarios—such as increased holiday demand or constrained time windows—and optimize the results. Retailers can create digital twins of their warehouses to discover how even small adjustments will impact operations before they invest in changes. See how PepsiCo is exploring Omniverse.
Improving efficiency and accuracy.
With intelligent video analytics (IVA), the accuracy of orders picked, packed, and shipped increases and operations become more efficient. IVA can read warehouse labels and barcodes quickly and accurately in fast-moving environments where labels can be any size, at any angle, or even partially occluded or damaged.
Increasing forecast accuracy.
Demand forecasting uses numerous sources to make sure the right products are available in the right stores at the right time. Walmart has trained their machine learning algorithms 20X faster with NVIDIA RAPIDS™ open-source data processing and machine learning libraries. This has helped them get the right products to the right stores more efficiently, react in real time to shopper trends, and realize inventory cost savings at scale.
Boosting warehouse efficiencies.
Warehouse and manufacturing centers are simplifying and streamlining product flows with AI-powered robots. Large retailers like AWS are using robotics technology to unload and sort items based on priority and department, check stock levels, correct shelf locations, ensure price accuracy, navigate autonomously, and move objects.
Enhancing delivery routes.
Several factors can impact the last mile of a delivery, including traffic, construction, and weather. With NVIDIA cuOpt, developers can use larger datasets and faster processing to optimize last-mile delivery with dynamic rerouting, simulations, and sub second response times in the warehouse and on the road.
We’re seeing that comparative to CAD technology, which has been used in engineering design for 20+ years, the digital twins are much more visual and intuitive.
— Alpen Patel, eComm Senior Automation Manager, PepsiCo
Retailers need to be able to understand what products they need to stock in which stores to a really low level of detail to make sure that they’re serving their customers and that the products are on the shelf, so customers can get them when they want them. Tesco’s talented supply chain team helped to implement new machine learning-based forecasting algorithms, providing the ability to manage over 3,000 stores and over 30 million products over a 21-day horizon.
— Rob Armstrong, Director of Data Science, Tesco
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Learn more about how NVIDIA AI and simulation solutions are delivering better-than-ever efficiency and intelligence to the supply chain.
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Learn how to build and execute end-to-end, GPU-accelerated data science workflows that let you quickly explore, iterate, and move your work into production. In this self-paced lab, you’ll learn how to use RAPIDS accelerated data science libraries to perform data analysis at scale with a wide variety of GPU-accelerated algorithms.
Gain the knowledge and skills needed to transform raw video data from widely deployed camera sensors into deep learning-based insights in real time. You’ll learn how to construct a streaming analytics pipeline with hardware-accelerated components, deploy turnkey video AI applications, and measure and improve video AI application performance.
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Evolve your startup with go-to-market support, technical expertise, training, and funding opportunities.
Learn about AI hardware and software for retail and consumer packaged goods (CPG).
With Omniverse Enterprise, retailers are developing physically accurate, AI-enabled, virtual simulations that are perfectly synchronized with the real world. These digital twins are transforming companies like PepsiCo to improve efficiency and environmental sustainability.
With Metropolis, organizations can boost the accuracy of orders picked, packed, and shipped. Using IVA, warehouse labels and barcodes can be read with greater accuracy in fast-moving environments, no matter their size, angle, or even if they’re partially occluded or damaged.
Effective demand forecasting takes more than traditional data such as demographics and location. With RAPIDS, processes that took days take minutes, making it easier and faster to build and deploy value-generating models.
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