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    CASE STUDY
    AI Artifact

    AI Artifact – A Multivendor Print-on-Demand Marketplace for AI Art

    Team size

    4 People

    Client Location

    Australia

    Timeline

    8 weeks

    Project Overview

    AI Artifact – a multivendor marketplace where users could both buy and sell AI-generated art, with every purchase turned into a physical, framed, print-on-demand product delivered to the buyer’s door. The platform needed to handle everything from AI art uploads and image review, to dynamic pricing, secure payments, and hands-off print fulfillment and shipping – while also rewarding active sellers through a points-based ranking system. 

    Contact Us

    Our Approach

    1

    Discovery & Workflow Mapping

    Mapped the full buyer-seller journey: upload, review, pricing, purchase, frame selection, payment, and fulfillment, before writing any code.

    2

    Core Marketplace Build

    Built the multivendor foundation on React, Node.js, and MongoDB - user accounts, listings, buyer/seller roles, and order management.

    3

    Upload & Review Flow

    Built the image upload pipeline with an automated review step to check whether an uploaded AI art piece is fit to move forward in the workflow before a seller can price and list it.

    4

    Pricing & Purchase Flow

    Enabled sellers to set a price once a piece is approved, and buyers to purchase and select the number of frames they want printed.

    5

    Payments & Fulfillment Integration

    Integrated Stripe for checkout and Gelato for print-on-demand production, shipping, and tracking, so orders move from payment to delivery with no manual handling.

    6

    Ranking & Rewards Engine

    Designed and built a custom points system that scores sellers by frame order volume and places them into Silver, Gold, Platinum, and Diamond tiers.

    7

    QA, Security & Launch

    Tested the full order pipeline end-to-end - upload, review, purchase, payment, fulfillment, and tracking - before rollout.

    The Challenge

    Web Nautical was brought in to turn the advertising concept into a working marketplace and digital signage product, with four core challenges:

    ✓

    Two-sided marketplace - advertisers needed simple campaign placement while venue owners needed control and a reason to make screens available.

    ✓

    Campaign-to-screen delivery - bookings had to become the right scheduled content on the right screen and location.

    ✓

    Live screen visibility - operators needed online/offline status for registered screens so issues could be identified quickly.

    ✓

    Connected architecture - React, Node.js, MongoDB, Google Cloud, and remote signage had to operate as one product.

    Keeping Campaigns, Dashboards & Digital Screens in Sync

    Once an advertiser selected locations and scheduled a promotion, campaign data had to stay aligned across advertiser tools, venue dashboards, administration, and connected screens. Node.js managed application logic and device-facing communication, MongoDB stored flexible campaign and screen data, and React provided role-specific interfaces. Google Cloud supplied the centralized environment, while socket-based updates exposed online/offline screen status to operators.

    Our Development Process

    A structured approach to design, development, testing, and seamless delivery.

    • EXPLORE

      Planning Planning

      Market study

      User needs

      Tech scope

    • Design Design

      Wireframes

      UI/UX flow

      Branding

    • IMPLEMENT

      Development Development

      Backend setup

      Custom feature

      Mobile build

    • Testing Testing

      Bug fixes

      Performance check

      Security test

    • EXECUTE

      Launch Launch

      Website Live

      Marketing push

      User onboarding

    • Maintenance Maintenance

      Regular updates

      Feature upgrades

      User support

    What We Built

    Multivendor Marketplace

    every user can act as both a buyer and a seller on the same account

    AI Art Upload & Review

    sellers upload AI-created art, which the platform reviews before it's allowed to move further into the listing workflow

    Seller-Set Pricing

    once a piece passes review, the seller sets its price before it goes live for other users to buy

    Frame-Based Ordering

    buyers choose how many printed frames they want of a purchased piece, with cost calculated by frame quantity

    Stripe Checkout

    buyers are directed to Stripe to complete payment once their frame order is finalized

    Gelato Fulfillment

    printing, shipping, and tracking for every order is handled automatically through the Gelato integration

    Points-Based Ranking System

    sellers earn points proportional to the number of frames ordered against their art, placing them into Silver, Gold, Platinum, and Diamond tiers

    - Jesper, Founder, AI Artifact

    Web Nautical took a fairly complex idea - AI art, a marketplace, printing, and a ranking system all in one - and made it work smoothly from day one. The Gelato integration especially has saved us from having to manage fulfillment ourselves. Genuinely happy with how AI Artifact turned out.

    Color Palette & Typography

    A visual language crafted to reflect the brand’s identity and personality.

    Aa
    Inter
    Regular Medium Semibold Bold
    abcdefghijklmnopqrstuvwxyz

    ABCDEFGHIJKLMNOPQRSTUVWXYZ
    #008080
    #000000
    #800080
    #016afa
    #ffffff

    Technology Stack

    The Nike MFS PlayKit was built on a carefully selected tech stack, designed to handle large-scale data, deliver fast visualizations, and provide a smooth, reliable experience for users.

    React.js

    Frontend: React.js

    Node.js

    Backend / API Layer: Node.js

    Database: MongoDB

    Platform Visuals

    A visual representation of the platform, showcasing its key features and user experience.

    Conclusion

    AI Artifact shows how Web Nautical takes a multi-layered product idea - a two-sided marketplace, AI art review, dynamic pricing, print-on-demand fulfillment, and a custom rewards system - and ties it into one seamless experience built on React, Node.js, and MongoDB. By integrating Stripe and Gelato end-to-end, Jesper's platform runs order fulfillment on autopilot, while the points and tier system keeps sellers engaged and competing for recognition. If you're looking to build a marketplace, print-on-demand, or rewards-driven platform, our team can help you go from concept to launch.

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