Overstock Listing Agent

For

Operations leads at independent game stores and online resellers

Solves

Unsold gaming inventory sits because listing each item manually is not worth the return.

Delivers

Published listings, AI-generated descriptions, dynamic pricing, prepaid shipping labels

Built in

10 days of creation time, MVP in 2 days

Investment

$5,000 for the MVP, $15,000 for the full product

Run it

Inside your business, or as part of your offer to clients

For operations leads at independent game stores and online resellers, turn photos of excess gaming inventory into priced, published listings with automated buyer communication.

1. Upload photos of single items or shelves.
2. Identify each product, edition, and condition.
3. Generate title, description, and price from live market data.
4. Publish listings to connected marketplaces.
5. Auto-respond to buyer questions and negotiate offers.
6. Generate prepaid shipping labels on sale.

What goes in, what comes out

The workflow

1. In
   Start with

   Photos of gaming inventory, seller preferences for pricing and condition

2. 1

   Upload photo

3. 2

   AI identifies items

4. 3

   Review and edit suggestions

5. 4

   Publish listings

6. 5

   AI handles inquiries

7. 6

   Accept or reject offers

8. 7

   Generate shipping label on sale

9. Out
   Finish with

   Published listings, AI-generated descriptions, dynamic pricing, prepaid shipping labels

AI does the heavy lifting, people stay in charge

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.

What your team sees

Key screens: Photo upload, inventory review, listing dashboard, sales inbox. 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.

Accounts and administration

Seller accounts, listing versions, approval workflow, audit trail of all AI actions, dispute logging, and role-based permissions for staff.

Integrations and data access

Start with eBay and Shopify APIs for listing and checkout, then add Amazon and other marketplaces.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   2 days

   One buyer segment, one recurring use case; first modules: photo upload and AI listing generation with manual review. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   3 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   5 days

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will operations leads at independent game stores and online resellers use it to solve "unsold gaming inventory sits because listing each item manually is not worth the return"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. A paid pilot with 5 independent game stores, measuring listing time per item and sell-through rate over 30 days.
4. Measure, then decide. Track average listing time per item; sell-through rate of overstock within 30 days. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. 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.

After the MVP. Automate buyer negotiation, multi-marketplace publishing, and inventory forecasting after the paid pilot.

What the build depends on. Reliable vision model for product identification, access to live market price data, and marketplace APIs for listing and shipping.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a 12% transaction fee per sale, with a flat $99/month subscription for sellers with more than 50 listings per month.

Message to test

Turn a photo of your overstock into a selling machine: AI prices, lists, and negotiates for you.

Where to find buyers

Industry forums for game store owners, online reseller communities, and social media groups focused on liquidation and overstock.

Lead magnet

Free trial that processes up to 10 items from one photo, showing the time saved and potential revenue.

The first 30 days

1. Week 1: Build photo upload and AI identification for Switch games.
2. Week 2: Integrate eBay listing API and generate descriptions.
3. Week 3: Add manual review queue and publish flow.
4. Week 4: Test with 3 pilot stores and refine pricing accuracy.

Paid pilot

A paid pilot with 5 independent game stores, measuring listing time per item and sell-through rate over 30 days. Baseline: manual listing takes 10 minutes per item. Success: reduce to under 1 minute and increase sell-through by 20%.

Success metrics

Average listing time per item; sell-through rate of overstock within 30 days.

Retention and expansion

The system learns each seller's pricing preferences and inventory patterns, making it faster and more accurate over time, reducing churn.

Why clients would pick it

The AI models improve with each item processed, learning niche game editions and condition nuances, making the system more accurate and harder to replicate.

Alternatives and positioning

Manual listing tools like eBay bulk upload, or hiring staff to list items. This differs by automating the entire process from photo to sale, reducing human effort and errors.

Main delivery costs

AI inference costs (vision and language models), marketplace integration fees, and customer support for disputes.

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.