Accelerate retail with AI.
Leading retailers are tapping into AI to automate warehouse logistics, determine in-store promotions and real-time pricing, enable customer personalization and recommendations, deliver better shopping experiences, and more—both in stores and online.
Learn about the most important AI use cases in retail today across supply chain optimization, omnichannel management, and intelligent stores.
NVIDIA AI and simulation solutions are delivering better-than-ever efficiency to the supply chain.
Catch these recommended sessions on-demand.
Learn how to implement the Triton Inference Server to develop recommendations and personalized search systems. We'll demonstrate how you can serve multiple models at scale with Triton, A/B test models, serve ensemble models, and monitor progress in production. We'll also deep-dive in to the MLOps processes and the importance of a cross-functional approach from concept to deployment, and share performance results to illustrate the impact of this deployment.
A fulfillment center is a critical node in providing optimal customer service in a supply chain network and for e-commerce. Therefore, improving order fulfillment time is critical to world-class operations. A key process in order fulfillment is decanting and picking — activities that consume the most time when operating a fulfillment center in general, and fulfilling an order in particular. We'll analyze an actual system that stores products within an automated system and releases orders to a picking station. We'll demonstrate the use of two key platforms from NVIDIA — (1) Omniverse, to create digital twin 3D assets and an architecture enabling variations in simulation models to address different scenarios and strategies aimed at improving system performance, and (2) Metropolis, to enable highly scalable intelligent video analytics applications to provide high-quality perception data and operational situation awareness. We'll discuss specific key performance indicators to compare different strategies and scenarios, such as order fulfillment lead-time, picks per man-hour, average picking time per order, and average time to pack an order. These proposed solutions will provide insights that lead to improvements in order processing time, order fulfillment rate, and increased operator efficiencies.
In this session, we will showcase how developers can use new Retail Pre-trained Models and Metropolis SDKs and microservices to develop Retail applications for Loss Prevention. Developers will learn how to leverage the the pre-trained models as is as well as how to think about how to customize and fine-tune them for a variety of use cases. Additionally, developers will learn how to build and customize applications using Metropolis microservices.
We aim to provide our customers with the best shopping experience. Our catalog contains over 150,000 products with 100 items being added every week. To ensure we can offer personalized recommendations at scale, we leverage machine learning for high-quality recommendations throughout the customer journey.
– Rick Bruins, Machine Learning Engineer, ASOS
To have the collaboration between our two companies, to be able to come back with our feedback and say here's what we found, here’s what worked great, and here’s what needs improvement, and by combining all those things together, we’ve had a very successful partnership.
– Kurtis Van Horn, Co-founder and Senior Vice President of Logistics, Implementation, and Production, AWM
Metropolis microservices are brought to life with reference applications that understand the traffic flow, create heat maps, and more. With Metropolis microservices, it’s easy to build, test and scale deployments from edge to cloud with enhanced resilience.
– Ying Feng, Director of Data Science and Analytics, PepsiCo
NVIDIA is a tremendous partner to help us get the math, to help us get the discoveries, to help us get the research and development done, whether it's runtime libraries, whether it's the equipment itself, or whether it's just having another ecosystem partner that can come in and lend some expertise to help us through some very difficult times.
– Wesley Rhodes, Vice President of Technology Transformation and R&D, Kroger
Developers can quickly build loss-prevention applications using the retail loss prevention AI workflow, built on cloud-native microservices that include models pretrained on hundreds of products prone to theft.
AiFi enables reliable, cost-effective, and entirely contactless autonomous shopping with AI-powered computer vision technology that provides an unrivaled shopper experience for retailers and consumers around the world.
Inception member RadiusAI uses AI to provide valuable, real-time, actionable data from existing vision-capturing devices for convenience stores. This enables retailers to see real-time bottlenecks, as well as what people are doing and how they’re doing it.
Cooler Screens reimagines the consumer shopping experience, using digital signage and AI-based inventory checks to engage customers, reduce stockouts, and increase sales.
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Learn more about how NVIDIA AI is bringing leading-edge technology to our everyday retail experiences.
Sessions
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.
In this lab, you’ll learn how to interact with the NVIDIA Riva speech server to process various conversational AI requests. You’ll learn how to send audio to an automatic speech recognition (ASR) model and receive back text, use natural language processing (NLP) models to transform and classify text, and send text to a text-to-speech (TTS) model and receive back audio.
Develop the skills you need to do your life’s work in AI, data science, and more. The NVIDIA Deep Learning Institute (DLI) offers hands-on training in AI, accelerated computing, and accelerated data science.
Influencer Chris Walton interviewed Azita Martin, NVIDIA’s general manager of AI for retail, CPG, and QSR for the inaugural episode of Omni Talk’s Ask An Expert interview series. Find out what she thinks are the most immediate use cases for AI in retail.
Grant Gelven, a machine learning engineer at Walmart Global Tech, joined NVIDIA AI podcast host Noah Kravitz for the latest episode of the AI Podcast. Gelven spoke about the big data and machine learning methods making it possible to improve everything from the customer experience to stocking to item pricing.
Connect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs—all the tools necessary to successfully build apps with NVIDIA technology—through the NVIDIA Developer Program.
Evolve your startup with go-to-market support, technical expertise, training, and funding opportunities.
Learn about the AI hardware and software for Retail and CPG.
AI workflows accelerate the path to AI outcomes. These cloud-native reference applications provide a path for developers to quickly get started building AI solutions for next-item prediction, route optimization, loss prevention, and more.
With NVIDIA RAPIDS™, processes that took days take minutes, making it easier and faster to build and deploy value-generating models. Retailers are using it to provide personalized recommendations with NVIDIA Merlin™ and improve demand forecasting, inventory management, and last-mile delivery.
With NVIDIA 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 Kroger and Lowe’s to optimize store layouts and merchandising and provide fast and easy checkout.
Our solutions for the retail industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products, and services.
Our experts can help your business unlock potential and unleash innovation.
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