13 minutes

RetailTech: What Do Data and AI Mean for Retail?

Primary Analyst: Coresight Research
Contributors
Primary Analyst: Coresight Research
Other Contributors:
John Harmon, CFA, Associate Director of Technology Research
Deep Dive

What's Inside

We discuss the challenges that many retailers face in leveraging data effectively, as well as the as well as the strengths of artificial intelligence (AI) for retail data analysis. We use Coresight Research’s proprietary CORE framework to categorize and explain the benefits of AI for retailers and provide examples where retailers are using data and AI to enhance their businesses.

Click here to read more about our CORE framework.

For further information on how AI can help retailers to compete and thrive, click here.

Click here to read more Coresight Research coverage of AI in retail.

CONTENTS

What’s the Story?

Why It Matters

Data and AI in Retail: A Deep Dive

A Retailer-Centric vs. Customer-Centric Market

Retailers Struggle To Integrate Their Data

AI: New Data Relationships and Actionable Insights

The Coresight CORE Framework

Communication

Optimize Pricing

Rationalize Inventory

Experiential Retail

What We Think

Implications for Brands/Retailers

Implications for Real Estate Firms

Implications for Technology Vendors

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