Artificial Intelligence: the new pilot of your Amazon catalog
Amazon is a powerful storefront—but also an increasingly complex playing field for brands. With the multiplication of ASINs, strict compliance rules, and time-consuming repetitive tasks, product catalogs have become true operational ecosystems—and a major management challenge.
What if artificial intelligence became your co-pilot in navigating it?
Managing catalogs: a complex equation
Over the years, Amazon has expanded its ecosystem while tightening its requirements: product visuals, A+ content, SEO optimization, RSGP compliance, product variations, multilingual data... As a result, catalog management has become a constant race against the clock.
Traditional methods—Excel files, manual ASIN-by-ASIN edits, and fragmented coordination—quickly reach their limits. As catalogs grow, errors multiply, lead times explode, and issues like blocked or rejected ASINs become more common.
In this context, AI is not a gimmick—it’s an operational lever that helps regain control.
Structuring and maintaining a reliable catalog with AI
One of the most immediate benefits of artificial intelligence lies in product data structuring. A poorly written title, a mislinked parent-child relationship, or a classification error can negatively impact a product’s visibility—or even prevent it from going live.
Fast detection of anomalies
AI can detect at scale:
Titles that are non-compliant or too long
Incoherent parentage links
Misclassified products
Where a human team would spend hours reviewing ASINs one by one, AI flags deviations from Amazon's standards instantly. Some solutions even generate correction suggestions that can be directly implemented or fine-tuned.
Monitoring that builds operational reliability
Structuring is only the first step. Maintaining catalog consistency over time is just as critical. This is where AI also plays a key role:
Preparing files with the correct formats and naming conventions
Detecting hidden errors or upload failures in Seller or Vendor Central
Cross-analyzing data between countries or marketplaces to optimize multilingual and international variations
Automated monitoring speeds up decision-making and significantly reduces time-wasting back-and-forth.
Zoom on two recurring use cases
To illustrate the real-world potential of artificial intelligence, here are two common scenarios in catalog management where AI streamlines operations.
1. Large-scale image duplication
Applying the same set of visuals across hundreds of ASINs is both repetitive and essential. With AI, visual files can be automatically renamed according to Amazon’s format (e.g. ASIN.PT01), using a simple prompt and a CSV file.
Result: thousands of visuals can be generated and uploaded in minutes—saving up to 10x the time compared to manual processing.
2. Generating safety data sheets (RSGP compliance)
Amazon requires SDS (Safety Data Sheet) files for many product categories. Without native tools to bulk-submit them, AI can be used to generate SDS documents from a standard template and product data file. Once created and renamed automatically, the SDS files are ready for integration—ensuring large-scale compliance without delays.
AI doesn’t replace humans—it empowers them
Artificial intelligence is a powerful tool, but not a standalone solution. It doesn’t understand every nuance of Amazon’s guidelines, can’t make strategic decisions, and doesn’t replace human quality control.
Its real value lies in extending teams’ capabilities by:
Speeding up time-consuming tasks
Reducing the risk of error
Standardizing recurring processes
Freeing up time for high-value, strategic work
AI doesn’t decide for the teams—it equips them to make better decisions.
Adopting AI in catalog management isn’t about automating for automation’s sake. It’s about smarter execution—balancing speed, quality, and scalability.
Amazon now demands flawless execution to ensure both product visibility and compliance. In this environment, artificial intelligence has become a critical performance driver—turning a reactive catalog into a truly piloted one.
It enables automation, increases reliability, and allows teams to refocus on what truly drives value: the commercial and strategic optimization of the offer.
Wondering how to go from a managed catalog to a fully piloted one? Let’s talk.
Lead Catalog Manager
