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Marketplace moderation

Every listing read, people make the call.

Moderators cannot read every listing, and fake or banned items do damage while they wait. An assistant that reads every listing against your own rules sends the doubtful ones to your team, with reasons, and leaves every decision to people.

// what matters here

What is different in this industry.

01

Why an open-source model here

Volume is high and listings include personal details, so the model runs in your own cloud account, at a steady cost per listing.

02

Your rules, not ours

Listings are checked against your marketplace's own rules and banned item lists.

03

People decide

The assistant flags and explains. Moderators approve or remove, and their decisions sharpen the rules.

04

Measured on your listings

We test the assistant on a sample of your real listings before it goes live.

// example projects

Priced examples for this service.

Each one is hypothetical, labelled as such, and priced live from our rate card. Open any of them in the estimator and make it yours.

Example projectWeb appAIOpen-source model

Listing moderation assistant

Hypothetical. Not a client, not a result.

// The problem

A second-hand marketplace's moderators cannot read every new listing, so fake listings and banned items sit live for hours before someone reports them.

// What we would build

A moderation assistant that reads every new listing and its photos, scores it against the marketplace's own rules, and sends doubtful ones to a person's review queue, with the reasons attached. It runs on an open-source model in the marketplace's own cloud account, because volume is high and listings include personal details; people make every final decision.

// What is in it

  • Every new listing checked against your own rules
  • Doubtful listings sent to a review queue with reasons
  • Moderators decide, and their decisions improve the rules
  • Works in the languages your sellers write in
  • Runs in your own cloud account

// Stack

  • Open-source model
  • Next.js
  • PostgreSQL
  • Queue
  • AWS

// estimate

Build
≈ US$100,000 to US$153,000, delivered within 21 weeksCAD 142,400 to 217,700
Hosting
≈ US$7,020 a monthCAD 10,000 a month
Support
≈ US$2,500 a monthCAD 3,565 a month

Prices in your currency are estimates from today's Bank of Canada rate. All invoicing is in CAD or USD.

AI route
Open-source model
Model running cost
≈ US$6,530 a monthCAD 9,300 a month

Timeline by milestone

Discovery
2.9 to 3.4 weeks
Specification and evaluation plan
0.4 weeks
Design approved
2.4 to 3.9 weeks
Core features
1.4 to 1.9 weeks
Full build
0.9 to 1.4 weeks
Working pilot
3.4 to 5.9 weeks
Testing and fixes
0.9 to 1.9 weeks
Launch
0.9 to 1.4 weeks
Production
0.9 to 1.4 weeks

How it is paid

Deposit 20%
CAD 28,420 to 43,480
Discovery 1.9%
CAD 2,699.90 to 4,130.60
Specification and evaluation plan 10.5%
CAD 14,920.50 to 22,827.00
Design approved 1.9%
CAD 2,699.90 to 4,130.60
Core features 5.7%
CAD 8,099.70 to 12,391.80
Full build 3.8%
CAD 5,399.80 to 8,261.20
Working pilot 31.6%
CAD 44,903.60 to 68,698.40
Testing and fixes 1.9%
CAD 2,699.90 to 4,130.60
Launch 1.9%
CAD 2,699.90 to 4,130.60
Production 10.8%
CAD 15,346.80 to 23,479.20
Holdback, 30 days after launch (10%)
CAD 14,210 to 21,740
GPU time for training and testing, at cost
CAD 300. Billed up front, at cost, outside the milestones

// questions

Questions we get about this.

Does the moderation assistant remove listings on its own?

Only if you want clear-cut cases removed automatically. Otherwise it flags them for a person.

Can the moderation assistant read listing photos?

Yes. Photos and text are checked together against your rules.

Why does the moderation assistant run in our own cloud?

Because volume is high and listings include personal details, an open-source model in your account is cheaper per listing and keeps data with you.

// next

Not quite your project?

Tell us what you have in mind. We will come back to you with a range and the questions that would narrow it. Or book a call and talk it through.

AI listing moderation for marketplaces, on a private model | Atheron Network Labs