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.

  • 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

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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