Ebook
AI Guide for Search and Discovery
What does it actually take for AI to improve ecommerce search and product discovery? Not one model. Not one capability. A system where every layer reinforces the next. Where query understanding feeds better retrieval, better retrieval enables smarter ranking, and smarter ranking makes recommendations and conversational guidance actually useful.
This guide breaks down how the pieces fit together, and what it looks like when AI works across every touchpoint of the discovery journey.
- How AI must power the entire discovery experience, from query suggestions and retrieval to ranking, faceting, recommendations, and conversational search, not just one or two touchpoints.
- A plain-language breakdown of the AI models behind best-in-class search: what each one does, where it fits in the shopper journey, and why a multi-model approach outperforms any single technique.
- Why most conversational search deployments fall short, and what it looks like when conversation is built into search itself rather than bolted on as a separate channel.
- How to evaluate AI search solutions against the criteria that actually matter: precision, recall, personalization depth, cold-start handling, and business KPI alignment.
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