AI-first eBay Cataloging Assistant

One-Liner

An AI-powered assistant that turns raw product descriptions or photos into complete, buyer-ready eBay listings.

Pain point: Sellers spend significant time researching comparable sold listings, rewriting descriptions into concise paragraphs, selecting attributes, and choosing keywords that balance appeal with policy compliance.
Who experiences it: Home resellers, shop owners migrating from in-person sales to eBay, and anyone managing a high volume of SKUs.
How painful / frequent: This is a repeated, time-consuming task that happens for every new or refreshed listing.

What does it do: Accepts free-form notes or images, queries and analyzes the market, and outputs formatted eBay listings optimized for discovery and conversion.
Core workflows:
1. Input raw product notes or photos via chat, email, or Shopify-style CSV.
2. Research sold and active comps to suggest pricing.
3. Generate titles, descriptions, bullet points, item specifics, and keywords.
4. Summarize risk factors (too generic, keyword stuffing, suspicious attribute combinations).
5. Prepare the listing for review / export.
Minimum Viable Version:
- Text input only.
- Research Web + select data sources (eBay sold data or seller guides).
- Structured output + copy-ready formatting.
- Simple approval workflow.

Primary customer segment: Casual and power eBay resellers.
Market size indicator: eBay remains one of the largest global marketplaces; resale and small-business growth continue expanding the addressable seller base.

Architecture / system design overview:
- Web app + mobile-friendly chat interface.
- Multiple research tools in parallel.
- Template engine for listing content.
- Approval queue with export (eBay file format, JSON, CSV).
External services, data sources, APIs:
- Google Shopping or eBay integration for research.
- eBay API for direct publish (later phase).
- Vision model for photo descriptions.
Key technical dependencies:
- Hermes agents or equivalent orchestration.
- Structured templates + rules for eBay listing quality.

Chat-native seller workflow (as natural as texting a listing to an assistant) rather than rigid spreadsheets.
Compliance-focused generation that avoids policy pitfalls before a human reviewer sees them.
Easy integration with product data already captured in other tools or raw notes.

Technical: Compiling reliable, current comparable pricing at scale.
Market: Seller expectations around publication automation vs. human judgment.
Regulatory: eBay policy compliance for listing content; data-source licensing.