AI app for operations · no coding needed
Surplus Stock Agent
A single agent that handles the entire overstock lifecycle from photo to shipped order, with negotiation guardrails the seller sets once.
Made for: Inventory and sales leads at industrial manufacturers and distributors
What it does for you
The problem
Slow-moving stock sits unlisted because sales teams lack time, while buyers waste days chasing quotes.
What it gives you
Searchable listings, buyer responses, negotiated deals, packing slips and ERP updates
What you give it
Inventory filesphotos of shelves or palletsforwarded emails with overstock lists
How it works, step by step
- Extract SKUs, condition and specs from files and photos
- Enrich items with public catalog data
- Publish listings to chosen channels
- Answer buyer questions in plain language
- Negotiate within set margin floors
- Generate packing slips and update ERP on sale
What you see on screen
- Inventory inbox
- listing board
- negotiation console
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 Surplus Stock 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 Surplus Stock 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 criteria11 KB
- demo/index.htmlThe working demo on sample data194 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 inventory and sales leads at industrial manufacturers and distributors, turn surplus inventory files, photos and emails into searchable listings, negotiated deals and fulfilled orders. Address the recurring problem: slow-moving stock sits unlisted because sales teams lack time, while buyers waste days chasing quotes. The value hypothesis is a faster, hands-off channel for overstock with fewer manual touchpoints; the pilot must establish whether buyers accept agent-led negotiations.
Upload inventory file, extract and enrich items, review auto-generated listings, publish to channels, respond to buyer inquiries, negotiate within guardrails, and confirm sale with logistics handoff. Start with inventory files, photos and emails and finish with searchable listings, negotiated deals and fulfilled orders.
How the AI works
Use vision models to identify parts from photos and language models to parse spreadsheets, emails and chat. Enrichment pulls from public catalogs. Negotiation follows rule-based guardrails. A human reviews extracted data and listing accuracy before publishing, and approves any deal outside set floors.
Safeguards
Limit negotiation to predefined price floors and margins, require human approval for any deal outside guardrails, restrict access to authorised sellers, log all agent actions, and must not publish items without human review or share buyer data outside the platform.
What to build first
One buyer type (mid-size distributor), one use case (email spreadsheet to storefront listings), first two modules (extraction and listing, basic Q&A), manual review of all extracted items before publishing.
What it can connect to
Start with CSV/Excel imports and email; later connect to ERP (e.g. SAP, NetSuite), shipping APIs, and procurement platforms.
The screens in detail
Use a central inbox for uploaded files and photos, a listing board with statuses (draft, live, negotiating, sold), and a negotiation console showing chat threads, price guardrails and margin floors. Provide a buyer-facing storefront preview. In this product, the first view is inventory inbox, followed by listing board and negotiation console.
