Product and Ecommerce Search | Page 12

Product and Ecommerce Search

Session 2

RECORDED WEBINAR 

LLM’s are becoming a more important part of an ecommerce strategy offering the ability to enhance product data attributes, improve data quality, provide recommendations and hyper personalization and enable conversational commerce.  

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Did you miss Part 1 of this series?

Catch up with the recording and slides at The Impact of Generative AI on Traditional Search Engines: A Deep Dive into OpenAI’s Search GPT

 
 

Topics We'll Cover

In this webinar, we will explore how large language models (LLMs) are reshaping eCommerce strategies and the vital role they play in creating more dynamic, efficient, and personalized online shopping experiences. 

How can LLM’s enable improved ecommerce search?

This discussion will focus on how AI-driven models can deliver smarter search capabilities, offering users more accurate and personalized product recommendations while reducing the number of irrelevant results.

How can organizations use AI to remediate product data challenges?

In this segment, we’ll discuss how LLMs can identify and correct data errors, enhance product descriptions, and streamline data workflows to improve overall data integrity and relevance.

What is the best way to improve a contextualized and personalized experience?

This part of the discussion will dive into how to leverage LLMs to create contextual shopping experiences that adapt to the individual user’s needs, ensuring a more seamless and engaging journey from product discovery to purchase.

What is the role of a reference architecture in LLM-powered eCommerce?

This discussion will outline the importance of creating a well-structured architecture that ensures the seamless integration of AI models into business operations. We’ll explore key architectural components, how they interact, and why having a solid foundation is critical for long-term success in AI-powered eCommerce.

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Meet The Speaker

Seth Earley

CEO & Founder
Earley Information Science

An expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions.

Seth has worked with a diverse roster of Fortune 1000 companies helping them to achieve higher levels of operating performance by making information more findable, usable and valuable through integrated enterprise architectures supporting analytics, e-commerce and customer experience applications.

Headshot Patrick Hoeffel-1

Meet The Speaker

Patrick Hoeffel

Managing Partner
Patrick Hoeffel Partners

Pat is an Experienced Leader and Technologist with deep Consulting and Professional Services experience covering AI, Cloud, Enterprise Search, Knowledge Management, and Data Intelligence for eCommerce, Knowledge Management, Financial Services, Insurance, Defense, and International markets. He is also a Leader in Partner and Alliance development and enablement, and in bringing innovative Product solutions to market through both internal development and partner integration.

"I've always had a passion for taking data and turning it into actionable intelligence from which quality decisions can be made and quality products and services can be offered."

Sanjay Mehta

Meet The Speaker

Sanjay Mehta

Principal Solution Architect
Earley Information Science

Sanjay has over two decades of hands-on experience with hundreds of customers for search/analytics, ml/ai, and commerce. He has held a number of strategic roles with renowned vendors such as Lucidworks, Reflektion, Oracle, NetSuite, Endeca, and ATG. His focus is on incorporating enterprise information architecture with ML/AI to deliver practical user experiences that generate tangible value.

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Meet The Speaker

Phil Ryan

SVP Strategy & Innovation
Lucidworks

Phil Ryan is the SVP of Strategy & Innovation at Lucidworks, which powers commerce, customer service, and workplace applications for the world's largest brands, including half of the US's top retailers. He's been innovating in the eCommerce space for over 12 years, more recently focusing on the opportunities presented by generative AI to transform customer experiences and optimize search and discovery workflows.