Presenting: Flat File Workflow in the Age of AI: Clean Data, Faster Operations
Amazon is retiring its legacy flat file templates, and many sellers won’t notice the impact until something breaks. Listings get suppressed, attributes are rejected, and critical data gets lost during migration. In this session, Vanessa Hung explains what is actually changing in Amazon’s flat file system and why catalog data integrity matters more than ever, especially in the area of AI.
You’ll get a clear look at how the new flat file structure affects your catalog and what mistakes commonly cause data loss or listing errors. Vanessa will walk through practical workflows for migrating catalog data cleanly, pre-filling templates using AI, and managing listings in a structured way that reduces manual effort. You’ll also see how clean, organized catalog data directly supports better discoverability and long-term operational stability.
This session gives you a practical framework for turning flat files into a reliable operational tool instead of a last-resort fix. You’ll leave with a clear workflow and useful tips you can implement immediately, whether you manage 10 SKUs or 10,000.
About Vanessa:
Vanessa Hung is a passionate entrepreneur who witnessed the struggles of sellers firsthand as an e-commerce account manager and found inspiration in the operational efficiency and optimization process to turn big daily problems into potential solutions that help sellers stay compliant while efficient within Amazon policies. As the founder of Online Seller Solutions, Vanessa specializes in optimizing catalog, inventory, and account health, recognizing the critical role of efficient management in a successful Amazon business. She is also a Community Engagement Director at Carbon6.
