I got banned on Etsy 3 times, so I built this AI tool

Over the last few years, I learned something the hard way:

scaling an Etsy shop becomes dangerous surprisingly fast.

The bigger your catalog gets, the harder it becomes to manually review every listing carefully. Titles, descriptions, tags, product images, references, wording, branding — eventually the process becomes impossible to manage consistently.

I experienced this personally after getting banned on Etsy multiple times.

That experience eventually led me to build ZenStorefront.

The problem

Many Etsy sellers now operate large catalogs:

• print-on-demand products;
• digital downloads;
• SVG and PNG files;
• stickers;
• mugs;
• apparel;
• AI-generated art;
• templates and scalable products.

Some shops manage hundreds or even thousands of listings.

At that scale, manually checking every listing for potential trademark, copyright, IP, or branding issues becomes unrealistic.

Most sellers are not intentionally trying to violate policies. The real issue is:

• scale;
• inconsistency;
• lack of visibility;
• outdated listings;
• risky wording hidden across large catalogs.

One problematic listing can create serious consequences for the entire shop.

Why I built ZenStorefront

I wanted a system that could help Etsy sellers review their shops more proactively instead of reacting only after takedowns or account issues happen.

So I started building ZenStorefront:
an AI-powered Etsy shop protection platform.

The idea is simple:
connect your Etsy shop, scan listings with AI-assisted analysis, and identify products that may require attention before they become larger problems.

What ZenStorefront currently does

Current features include:

• Etsy shop syncing;
• AI-assisted listing analysis;
• product image review;
• listing organization workflows;
• monthly shop scans;
• scalable catalog review for larger Etsy stores.

The platform is especially useful for:

• POD sellers;
• digital product shops;
• SVG/PNG creators;
• apparel stores;
• sticker and mug sellers;
• AI-generated design sellers.

What I learned building it

The hardest part was not the AI.

The hardest part was designing workflows that actually help sellers review large catalogs efficiently without making the product feel overwhelming.

I also had to spend a lot of time improving infrastructure and security:

• safer remote image processing;
• SSRF protection;
• production-safe authentication handling;
• request validation;
• scalable AI processing costs;
• monthly scan workflows.

Because AI costs can become expensive quickly at scale, especially when scanning large Etsy shops regularly, a big part of the challenge has been balancing:

• useful AI analysis;
• fast scans;
• affordable pricing;
• sustainable margins.

The business side

ZenStorefront is currently in pre-launch.

The platform uses a freemium SaaS model:

• free plan with limited scans;
• monthly subscriptions for larger catalogs;
• scalable plans based on listing volume.

Right now I’m mainly focused on:

• improving scan quality;
• reducing false positives;
• optimizing AI costs;
• talking directly with Etsy sellers;
• understanding real operational pain points.

Final thoughts

Getting banned multiple times was frustrating, but it also helped me understand a real problem experienced by many Etsy sellers operating at scale.

ZenStorefront is my attempt to build a practical system that helps sellers maintain healthier shops and review their listings more proactively.

Still very early, but excited to finally launch it publicly.

Website:
https://www.zenstorefront.com