Building a Recommendation Agent for The North Face with Andrew Guldman - TWiML Talk #239
Research#llm📝 Blog|Analyzed: Dec 29, 2025 08:16•
Published: Mar 14, 2019 16:42
•1 min read
•Practical AIAnalysis
This article discusses the development of a recommendation agent, Fluid XPS, for The North Face. The agent aims to assist online shoppers in making product choices. The conversation with Andrew Guldman, VP of Product Engineering and R&D at Fluid, covers the agent's origins, its application to outerwear retail, and the technologies used, including heat-sink algorithms and graph databases. The discussion also touches upon the challenges of adapting to the evolving landscape of online retail and AI. The focus is on practical applications of AI in e-commerce.
Key Takeaways
- •Fluid XPS is a recommendation agent designed to improve the online shopping experience.
- •The agent was initially developed for The North Face, an outerwear retailer.
- •The technology utilizes heat-sink algorithms and graph databases.
Reference / Citation
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