Retailers should prepare product data for AI-driven holiday shopping by making priority listings complete, accurate, structured, and easy to verify. Product pages and marketplace listings should clearly explain what an item is, who it is for, how it is used, what it is compatible with, when it will arrive, and how it can be returned.

At eTail Boston 2026, Udith Mehrohta, Head of Product, North American Languages Experience at Amazon, emphasized that "it's critical to make sure that the catalog is complete." He explained that AI agents match customer requests against product information and assess whether data is consistent and trustworthy across sources.

The 2026 eTail Insights report Personalized Channel Activation in Retail & eCommerce found that 72% of retail and eCommerce leaders say improved measurement and attribution would most accelerate their ability to deliver personalized experiences across channels. For product teams, this reinforces the need to measure whether richer product information improves discovery, conversion, and customer experience instead of treating catalog updates as one-time maintenance.

Prioritize holiday SKUs with strong demand or margin potential, particularly when shoppers need more information to choose confidently or when returns are common. Review the product content across your site, marketplaces, and feeds to ensure key details match. Then address missing or conflicting information that could make it harder for an AI shopping tool to recommend the right product.

Explore how retailers are preparing catalog content, product data, and commerce operations for AI-assisted discovery at eTail Boston.