Transforming E-Commerce Search with Semantic Cache: Insights from Walmart's Journey
Blog post from Portkey
Large Language Models (LLMs) and Generative AI are revolutionizing business operations, as demonstrated by Walmart's innovative use of these technologies to enhance e-commerce search functions through semantic caching. Rohit Chatter, Walmart's Chief Software Architect, emphasizes that semantic caching allows for more nuanced understanding of customer queries, significantly improving the efficiency of search results by handling variations in phrasing and reducing zero search result queries. Despite challenges related to latency and cost, Walmart is strategically combining traditional and semantic caching methods to optimize performance and reduce costs. Chatter envisions a future where generative AI, augmented reality, and virtual reality converge to offer unprecedented shopping experiences. Walmart's commitment to integrating these advanced technologies reflects its role in redefining e-commerce and enhancing customer interactions, marking a significant step forward in the seamless blending of technology and retail.