Explore the cutting-edge world of AI-driven product discovery in e-commerce with this episode’s guest, Peter Curran, General Manager of Commerce at Coveo. This episode examines the evolving role of AI technologies, including retrieval-augmented generation, in enhancing the online shopping experience.
From tackling common challenges on platforms like Instagram to the importance of trust in AI adoption, Peter shares compelling examples that illustrate AI's impact on contextual relevance and user experience. Join us as we explore the future of shopping and the collaborative approach required to navigate the rapidly evolving landscape of agentic commerce.
Show Highlights:
- Overcoming e-commerce challenges using AI technologies like retrieval-augmented generation (RAG).
- The role of AI in improving contextual relevance and providing a seamless shopping experience.
- The importance of trust and agility in AI adoption within e-commerce platforms.
- The significance of comprehensive content and user-generated feedback in bridging product discovery and purchase decisions.
- Examination of how social media influences product discovery, but often does not complete the purchasing journey.
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Supporting Resources:
Peter Curran on LinkedIn: https://www.linkedin.com/in/petercurran/
Coveo: https://www.coveo.com/en
Learn more about Agentforce for Commerce: https://www.salesforce.com/commerce/ai/
Join the Commerce Cloud Community: https://sforce.co/commerce-crew
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Episode Credits
If you like this podcast and are thinking of creating your own, consider talking to my producer, Emerald City Productions. They helped me grow and produce the podcast you are listening to right now. Find out more at https://emeraldcitypro.com. Let them know I sent you.
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