
Win-Win Product Discovery — A Retail Agentic AI Use Case
Description
This IDC Perspective dissects a key use case that applies agentic AI to enable automation, multilevel agents, orchestration agents, and a key focus on product discovery and search through online retail channels critical to business needs. The next generation of solutions will leverage the advantages of agentic AI to deliver market advantages. As the underlying technology used for generative AI, such as large language models (LLMs) permeate the retail technology space, we see the arrival and expansion of agentic AI pilots and applications that can be applied in various use cases."Product discovery for the retailer is not solely an appeasement of customer demand to find the right product but also enabling retailer success in what kinds of products fit retailer assortment plans and delivery. Agentic AI will be the next driver of product search in multimodal channels," says Ananda Chakravarty, VP of Research, IDC Retail Insights.
Table of Contents
11 Pages
Executive Snapshot
Situation Overview
Differentiation of Agentic AI
Agentic AI Use Case: Product Discovery and Search
The Orchestration Agent
Multi-Agent Orchestration
Advice for the Technology Buyer
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Related Research
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