Case Study · Marketplace Platform
A Marketplace
for AgroTechnika
AgroTechnika needed a full marketplace for agricultural machinery — tractors, parts, listings from dealers and farmers, plus a technical library of repair manuals, schematics and a news/reviews hub. We designed the entire UI with AI to keep costs down for the client, then built the platform on Next.js and Node.js.
82K+
Listings live on launch catalog
Registered dealers
Brands catalogued
Design cost saved with AI
Full-stack build
Our Approach
How We Did It
Marketplace Architecture
Mapped the full scope: machinery listings, spare parts catalog, dealer/seller accounts, technical library and a news section — then structured the data model to support search and filtering across all of it from day one.
AI-Assisted UI Design
Instead of a full custom design cycle, we designed the interface with AI tools — cutting design cost and time significantly for the client while still delivering a clean, industry-specific look with a strong catalog and search-first layout.
Next.js Build
Built the entire front end in Next.js — fast catalog browsing, filterable search by machine type, brand and model, and SEO-friendly pages for listings, parts and repair content.
Node.js Platform
Custom Node.js backend powering listings, dealer accounts, categories, brand pages and the parts catalog — built to scale as inventory and sellers grow.
Library, News & Reviews
Dedicated sections for repair manuals, wiring/hydraulic schematics and technical documentation, plus a news and reviews hub to keep farmers and dealers coming back beyond just browsing listings.
QA & Go-Live
Full testing across listing flows, search/filter accuracy and mobile performance, then a clean launch with the catalog, brand pages and technical library all live and populated.
The Delivered Website
See the Complete Site We Delivered
Who This Is For
Sound Like Your Business?
This type of build works best for marketplaces and industry platforms that need serious catalog and search functionality, without a designer-scale budget.
Equipment Marketplaces
Platforms connecting buyers, dealers and manufacturers of machinery or heavy equipment that need a serious, searchable catalog.
Parts & Inventory Platforms
Businesses selling spare parts or components at scale that need robust filtering by make, model and compatibility.
Budget-Conscious Startups
Founders who want a professional, well-designed product but can't justify a full custom design engagement — AI-assisted design gets there faster and cheaper.
Technical Content + Commerce
Businesses that need to combine a sales catalog with documentation, manuals or technical reference material in one platform.
Scalable Next.js/Node Platforms
Teams that want a modern, performant full-stack platform that can grow from thousands to hundreds of thousands of listings without a rebuild.
The Challenge
A Fragmented
Market. No
Platform.
The agricultural machinery and parts market was fragmented across classifieds, forums and dealer phone calls — no single place to search tractors, combines and parts alongside the technical documentation farmers actually need to fix them. AgroTechnika wanted to become that single place, but a custom design process for a marketplace this large would have blown the budget before development even started.
We needed a way to deliver a professional, trustworthy interface for a large-scale catalog and technical library — without the cost of a traditional design phase.
- No unified marketplace for machinery, parts and dealers
- Traditional UI/UX design would exceed the client's budget
- Needed to handle tens of thousands of listings and 320+ brands
- Repair manuals and schematics scattered, hard to find
- No news/review content to build authority and return traffic
- Required a scalable, modern full-stack architecture
“SV Dev used AI to design our platform and it saved us a real design budget without cutting any corners on quality. What we got back was a fast Next.js and Node.js marketplace that handles our entire catalog, parts, dealers and repair library in one place.”
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