Bridging the AI trust gap in retail

This SmartPulse report on AI in Retail explores how leading retailers are moving from AI hype to execution, focusing on trusted data, faster decisions, and measurable impact across merchandising, planning, and stores. 

What’s inside:  

Retail’s AI reality check: Why faster decision-making is the top outcome retailers expect from AI, and how data inconsistencies are blocking progress. 

Bridging the AI trust gap in retail: How a governed, universal semantic layer creates one business language so margin, sell-through, and inventory metrics stay consistent everywhere. 

Retail and agentic AI: Where agentic AI is actually working in merchandising, planning, allocation, and store operations—without eroding trust in the numbers. 

Case Study: How a Fortune 500 retailer decreased metric redundancies by 44% by implementing a universal semantic layer. 

Download the SmartPulse on AI in Retail report to see how data-driven retailers are building the foundations for trusted, scalable AI.