Summary
Retail’s relationship with AI did not begin with generative models or agentic systems. For years, retailers have applied machine learning to forecasting, pricing, and recommendation engines — extracting incremental gains from well-defined workflows where inputs and outputs were tightly controlled. What is new is the expectation that AI can move beyond discrete optimization and operate across workflows, interacting with customers and employees in real time.
That expectation is running into a different reality. Per recent Signal65 research, 94% of retailers are now exploring agentic AI, yet only 17% have moved beyond pilot environments into scaled deployment. Those numbers are not a reflection of hesitation; they reflect friction. Retailers are not struggling to prove that AI can work. They are struggling to make it work consistently across stores, systems, and workflows that were never designed for real-time, autonomous decision-making.
This paper examines why retail AI stalls — operationally and technically — and how Lenovo, through its AI Library and Super Agent for Retail, offers a fundamentally different path from pilot to production, measured in days rather than quarters.
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TABLE OF CONTENTS
Summary
The Retail Reality: Pressure Is Compounding
How Retailers Have Tried to Bridge the Gap
A Different Starting Point: The Lenovo AI Library
Why the Operating Model Matters
The Market Impact: An MI&S Perspective
Call to Action
COMPANIES CITED
Lenovo
Signal65
Moor Insights & Strategy / MI&S
McKinsey
Matt Kimball is a Moor Insights & Strategy senior datacenter analyst covering servers and storage. Matt’s 25 plus years of real-world experience in high tech spans from hardware to software as a product manager, product marketer, engineer and enterprise IT practitioner. This experience has led to a firm conviction that the success of an offering lies, of course, in a profitable, unique and targeted offering, but most importantly in the ability to position and communicate it effectively to the target audience.
Founder, CEO and Chief Analyst | + posts
Patrick Moorhead is the founder, CEO, and chief analyst of Moor Insights & Strategy. His big-picture view of technology is grounded in more than 20 years as an executive leading strategy, product management, product marketing, and corporate marketing functions at NCR, AT&T, Compaq, and AMD. He has shared his expertise in areas from silicon to infrastructure to enterprise SaaS and everything in-between in thousands of national broadcast appearances (CNBC, Yahoo Finance), articles (Forbes, CIO), research-based analyses, and podcast episodes. Today, he has 100+ CXO-level advisory clients and is often ranked the #1 technology industry analyst by ARInsights.
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