Industrial overstock that finds its own buyers

Your surplus parts list themselves, negotiate, and ship without a single human handoff.

The problem

Manufacturers and distributors sit on millions in slow-moving stock. The sales team never has time to list it properly. Buyers on the other side spend days calling around, sending spec sheets, and waiting for quotes that never arrive.

What AI makes possible now

Multimodal models now read a grainy photo of a pallet, an old PDF datasheet, and a handwritten inventory note and pull out the exact SKU, condition, and market price range. Agents then list the items across every relevant procurement channel, answer technical questions in plain language, and negotiate within guardrails you set. Voice interfaces let a warehouse supervisor reorder restock by just speaking a part number while walking the floor.

How it works

  1. You point the system at an inventory file, a photo of a shelf, or a forwarded email with an overstock list.
  2. The model extracts every item, enriches it with specs from public catalogs, and creates a listing that matches how industrial buyers actually search.
  3. An agent publishes to the right channels and handles incoming chats, quote requests, and price haggling up to a margin floor you set.
  4. When a deal closes, the agent generates a packing slip, schedules a pickup from your dock, and updates your ERP.

The first thirty days

Ship a single-purpose agent that takes an emailed spreadsheet of overstock, turns it into searchable listings on a clean storefront, and answers basic availability questions. No negotiation, no logistics. Just list and respond.

How it earns

A subscription for the listing and agent layer, scaled by inventory volume. A small fulfillment fee on each transaction only after the first sale proves it works.

Why now

Inference is cheap enough to parse thousands of items. Vision models can identify parts from a photo. Voice makes this usable for the people who actually touch the stock, not just the office staff.

First customers

A mid-size electrical components distributor with a back room full of NOS. A construction equipment dealer who takes trade-ins and needs to move them fast.

The hard part

Industrial buyers trust relationships. The hardest part is not the tech, it is getting the first seller to let an agent talk to their customers unsupervised.

Build this with us

Nexibeo can build the listing agent, the buyer chat layer, and the ERP handshake in 30 days. You bring one supplier with an overstock headache. Apply for a build slot.

Apply to build this

Tell us why this one, and what you bring: market knowledge, customers, capital, or conviction. We reply within one working day.

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