AI app for operations · no coding needed
Overstock Listing Agent
A single photo turns an entire shelf into live listings with AI pricing and negotiation, cutting listing time from minutes to seconds per item.
Made for: Operations leads at independent game stores and online resellers
What it does for you
The problem
Unsold gaming inventory sits because listing each item manually is not worth the return.
What it gives you
Published listings, AI-generated descriptions, dynamic pricing, prepaid shipping labels
What you give it
Photos of gaming inventoryseller preferences for pricingcondition
How it works, step by step
- Upload photos of single items or shelves
- Identify each product, edition, and condition
- Generate title, description, and price from live market data
- Publish listings to connected marketplaces
- Auto-respond to buyer questions and negotiate offers
- Generate prepaid shipping labels on sale
What you see on screen
- Photo upload
- inventory review
- listing dashboard
- sales inbox
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Overstock Listing Agent with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Overstock Listing Agent with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links1 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare20 KB
- prompt-vps.mdThe same build on your own server (Docker)20 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria10 KB
- demo/index.htmlThe working demo on sample data196 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
For operations leads at independent game stores and online resellers, turn photos of excess gaming inventory into priced, published listings with automated buyer communication. Address the recurring problem: unsold gaming inventory sits because listing each item manually is not worth the return. The value hypothesis is a faster, cheaper way to move overstock; the pilot must establish whether the AI listing quality and pricing accuracy are trusted.
Upload photo, AI identifies items, review and edit suggestions, publish listings, AI handles inquiries, accept or reject offers, generate shipping label on sale. Start with photos of excess gaming inventory and finish with priced, published listings with automated buyer communication.
How the AI works
Use vision models to identify products and assess condition, language models to write descriptions, and pricing algorithms based on market data. A human reviews all AI-generated listings before publishing, checking for misidentified editions or condition errors.
Safeguards
Limit AI to only list items with high confidence scores, require human approval for all listings, restrict negotiation within seller-set price floors, and never auto-accept offers without seller consent. Must not list items without review or share seller data with competitors.
What to build first
One buyer type (independent game stores), one use case (Nintendo Switch games), first two modules: photo upload and AI listing generation with manual review. Manual review of all listings before publishing.
What it can connect to
Start with eBay and Shopify APIs for listing and checkout, then add Amazon and other marketplaces.
The screens in detail
Use a drag-and-drop upload area for photos, a review grid showing AI-identified items with confidence scores, a dashboard with live listings and sales, and an inbox for buyer messages. Let users edit or reject AI suggestions before publishing. Display statuses: pending, live, sold, and disputed. In this product, the first view is photo upload, followed by inventory review and listing dashboard.
