
IDC PeerScape: Retail Intelligence Practices to Apply GenAI Across Use Cases
Description
IDC PeerScape: Retail Intelligence Practices to Apply GenAI Across Use Cases
This IDC PeerScape helps retail operational leaders consider the implications of what GenAI can offer them, especially as best practices have yet to be formed. We examine the importance of a data infrastructure and hear from peers in the industry about the wide variety of use cases available. We then dive deeper into a common retail digital use case, the chatbot, and determine if there is an alternative that might make more sense when starting out with GenAI."GenAI is revolutionary, but to tap into that power, retailers must embrace quality data, prioritization of use cases, and sometimes unconventional ways to look at the human-machine collaboration," says Ananda Chakravarty, VP of Research, IDC Retail Insights.
Please Note: Extended description available upon request.
Table of Contents
8 Pages
- IDC PeerScape Figure
- Executive Summary
- Peer Insights
- Practice 1: Use Cases Must Have High-Quality Foundational Data
- Challenge
- Example
- Guidance
- Practice 2: Explore and Define Mission-Critical Emerging Retail GenAI Use Cases
- Challenge
- Example
- Guidance
- Practice 3: The Practical GenAI Use Case for Customer Support Is Knowledge Distribution, Not Chatbots
- Challenge
- Example
- Guidance
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