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Generative AI for Search in Retail

What Are the Key Use Cases for Retailers?

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About This Report
GenAI search could have a transformative impact on the shopping journey. To satisfy customers and stay competitive, retailers should focus on two essential innovations.
Table of Contents

Generative AI (genAI) has the potential to transform the shopping journey. Search tools powered by large language models (LLMs) aim to improve existing functions while introducing new ways for shoppers to discover brands and products. As genAI continues to evolve, retailers should evaluate how to incorporate the technology into their search strategies.

Key Question: What are the key use cases for genAI in retail search, and how should retailers prioritize them?

Key Stat: AI-powered search engines are gaining traction. Per a February 2024 survey by Botify (conducted with Dynata), 41% of US consumers expressed interest in using them for online shopping.

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Table of Contents

  1. Why does genAI for search matter right now?
  2. What are the key use cases of genAI for retail search?
  1. How should retailers prioritize these use cases for genAI search?
  2. What else should retailers keep in mind?
  1. Sources
  2. Media Gallery

authors

Blake Droesch

Contributors

Suzy Davidkhanian
VP, Content
Donte Gibson
Senior Chart Editor
Vladimir Hanzlik
Executive Editor and SVP, Content
Vladimir de Leon
Chart Editor
Wendy Malloy
Director, Reports Editor
Emma Noyes
Graphic Designer, Data Visualization
Carina Perkins
Senior Analyst
Sakina Thanawala
Zia Daniell Wigder
Chief Content Officer
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