Generative AI for Search in Retail

What Are the Key Use Cases for Retailers?

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.

Here’s what’s in the full report

1file

Exportable files for easy reading, analysis and sharing.

4charts

Reliable data in simple displays for presentations and quick decision making.

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

Access All Charts and Data

Gain access to reliable data presented in clear and intelligible displays for quick understanding and decision making on the most important topics related to your industry, included at no extra cost.

First Published on Sep 17, 2024

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