To remain competitive, retailers are using AI to build innovative applications that support the consumer shopping experience. From product recommenders to visual similarity search engines, Computer Vision models advance these business use cases.
Learn how Kroger, the second largest grocery retailer in the U.S., built a Twitter recipe recommendation engine powered by AI to improve their social media engagement. By recommending different recipes based upon what shoppers already had on hand, they were not only increasing shopping cart sizes and conversions, but also continuing to support their social mission of reducing food waste.
Join NVIDIA and Coffee Labs as they share stories and insights on how to improve the retail customer experience using Computer Vision and AI-driven applications.
See how to:
Drive smarter customer searches using visual similarity search apps.
Improve product category search results with richer auto-generated metadata.
Drive product personalization and sales with an AI-product recommendation engine.
Speed application performance and improve time-to-value with NVIDIA GPUs.
Director of Product Marketing, Retail AI
NVIDIA
Chief Creative Officer and Partner
Coffee Labs
Senior Sales Engineer
Clarifai
