Build a Product Discovery Agent
Ivan Bykanov, Product Lead at Lightspeed Commerce, shows you how to build a product discovery agent from scratch.
Ivan Bykanov
無料アカウントを作成する
練習とトラックであなたの進捗を記録しましょう。
Googleで登録続行すると、次に同意したものとみなされます: 利用規約、 プライバシーポリシー 、およびデータが米国内に保管されることに同意したものとみなされます。関連

ポッドキャスト
Building Great Machine Learning Products at Opendoor
Discover principles for great ML product design, data collection and packaging outputs into slick user design.

ポッドキャスト
Developing AI Products That Impact Your Business with Venky Veeraraghavan, Chief Product Officer at DataRobot
Richie and Venky explore AI readiness, aligning AI with business processes, roles and skills needed for AI integration, the balance between building and buying AI solutions, the challenges of implementing AI-driven changes, and much more.

チュートリアル
Conversational Analytics: Build a Data Agent in BigQuery
Learn how to use conversational analytics, BigQuery Studio's newest Gemini-powered feature, to build intelligent data agents with natural language queries.



Session Resources
Helping customers find the right product is one of retail's oldest and highest-leverage challenges — and one where AI agents can have immediate impact. Traditional search and filtering tools rely on exact keyword matches and predefined categories, leaving shoppers frustrated when they can't articulate precisely what they want. AI agents that understand intent, ask clarifying questions, and reason across a product catalogue can fundamentally change the discovery experience, increasing conversion and reducing abandonment.
In this code-along webinar, Ivan Bykanov, Product Lead at Lightspeed Commerce, will show you how to build a product discovery agent from scratch. You'll learn how to structure and prepare product data so agents can reason over it effectively, design an agent that interprets shopper intent, and deploy a working tool that guides customers to the right product.
Key Takeaways