What Are Foundation Models? The AI Architecture Behind Modern Ecommerce Search
Blog post from Marqo
Foundation models, pivotal in modern artificial intelligence, underpin diverse applications from language translation to autonomous vehicles, but their profound value lies in e-commerce product discovery. These large-scale machine learning models, trained on vast datasets, can be adapted for specific tasks, but general-purpose models often fail at the nuanced needs of e-commerce. Marqo addresses these shortcomings with a product-native foundation architecture that understands products in depth, enhancing product discovery by integrating product intelligence with behavioral data. This approach involves a three-layer architecture: foundation pre-training on extensive e-commerce data, retailer-specific adaptation, and behavioral integration, enabling rapid deployment and significant improvements in search relevance and conversion rates. Marqo's architecture not only enhances search capabilities but also extends into recommendations, merchandising, and conversational commerce, demonstrating substantial commercial impact, as seen in their work with clients like Mejuri, which saw a 19.8% increase in conversion.