Meet Today’s Retail Challenges with Edge Computing and Artificial Intelligence
Advanced analytics and AI at the edge are helping retailers cut costs, increase sales and drive a competitive advantage, from optimizing in-store operations, to enhancing customer experience, to providing deep insight for corporate-level decision making. Explore five use cases and learn how they could help your retail organization overcome today’s challenges while preparing for future success.
Burger King: Context-Aware Recommendations
See how this fast-food leader used a deep learning-based fast-food recommender system to boost sales by personalizing menu recommendations for customers based on weather or time of day.
SM Supermalls Engages Shoppers
Learn how this large shopping mall chain in the Philippines deployed a voice-interactive smart-service robot to provide customer assistance and streamline the visitor experience.
Lee’s Famous Reinvents the Drive-Thru
Discover how this fast-food chain is using conversational AI to help employees serve customers and improve the drive-thru experience.
Steps to Taking AI to the Next Level in Retail
Use this step-by-step guide for using edge computing to successfully deploy artificial intelligence (AI) solutions that will boost sales, improve customer and employee experience, and empower better decision making.