Prelo is a web application that uses artificial intelligence to streamline the process of creating product listings for online resale. Its primary function is to accept a folder of photographs, automatically group them by individual item, identify each item by comparing it against online data, suggest a price based on comparable eBay listings, write a descriptive listing, and publish that listing directly to eBay. The tool is designed to reduce the manual work of sorting photos, writing descriptions, and setting prices, allowing users to list multiple items more quickly than traditional methods. The core workflow begins when a user drops a folder of photos into Prelo. The application’s visual model clusters the photos by item without requiring manual sorting, spreadsheets, or tagging. Users can then review the groupings and correct any errors by dragging photos to the correct group, moving them to a new item zone, or deleting unwanted groups. Once the groups are finalized, Prelo automatically identifies each item, generates a title and description, and suggests a price based on comparable eBay listings. The user can then publish the draft directly to eBay after connecting their seller account. The tool also integrates with Claude and ChatGPT, allowing users to instruct an assistant to upload photos and create listings through Prelo with a single browser-based authorization. Prelo supports common image formats including HEIC, JPEG, PNG, and WebP, with a maximum file size of 25 MB per photo. It works on both phone and desktop, accepting drag-and-drop or folder selection. In addition to eBay listing creation, Prelo offers a crosslisting feature for users already selling on eBay, enabling them to import their store and list items on Poshmark, Mercari, Depop, and Facebook for a monthly fee of $7.99. New users receive 20 free listings upon signup with no credit card required, and subscriptions can be canceled at any time. The application emphasizes that its AI-generated descriptions avoid hype language and instead focus on factual item details, condition, and buyer-relevant information, with pricing suggestions based on actual asking prices from comparable eBay listings.