Catalog PlatformSolo Full StackMaintained

AticoExports.com

A 10,000-product global export catalog serving buyers across 35+ countries.

Visit live site3 months build + ongoing maintenance

AticoExports.com is the digital catalog platform for a large-scale Indian export business. The project required building a system capable of managing thousands of products across hundreds of categories, serving international buyers across 35+ countries — all without requiring developer involvement for daily operations. The platform handles everything from product discovery to buyer inquiry, with automated catalog generation and multilingual support baked into the architecture from day one.

The business challenge

The client's product range had grown past 10,000 items across dozens of export categories — lab equipment, industrial tools, surgical instruments, and more. Their existing setup couldn't scale: adding a new product required a developer, search was unreliable for large result sets, international buyers couldn't navigate content in their language, and there was no way to generate product catalogs on demand. They were losing leads at the discovery stage.

My role

I designed and built the entire platform end-to-end as a solo full stack engineer — from database schema to deployment. This included the public-facing catalog, the internal admin panel, the bulk import pipeline, automated PDF generation, multilingual integration, and the SEO architecture for international search visibility.

Engineering challenges

Search Performance Across 10,000+ Products

Full-text search on a catalog of this size needed to return accurate, ranked results in under 500ms — including across product names, descriptions, specifications, and categories — without full table scans on every query.

Implemented PostgreSQL full-text search with tsvector columns and GIN indexes on the most queried fields. Added composite indexes on category and status combinations. Used materialized views for category-level aggregations to avoid expensive joins on every page load.

Automated PDF Catalog Generation

Buyers frequently requested downloadable product catalogs by category. Manual PDF creation was taking the team hours per request and the output was inconsistent in formatting.

Built an automated PDF generation pipeline triggered on product updates. When a product is added or edited, the system regenerates the relevant category catalog in the background. PDFs are stored and served from object storage, with download links available instantly from the admin panel.

Multilingual Support Across 180+ Languages

International buyers from Europe, the Middle East, Southeast Asia, and Africa needed to browse product content in their native language. Hardcoding translations was not feasible at this scale.

Integrated a translation layer at the CMS level with automatic language detection on the frontend. Static content is pre-translated at build time using ISR, while dynamic product content uses edge-level translation with caching to avoid latency penalties for non-English visitors.

Bulk Import Without Data Corruption

The client's team needed to import hundreds of products at once from supplier spreadsheets, but early attempts caused duplicate entries, missing category mappings, and broken image references.

Built a validation layer that runs before any import commit — checking for duplicate SKUs, validating category references against the existing tree, and verifying image URLs before writing to the database. Imports run inside a transaction so partial failures roll back cleanly without corrupting existing data.

Architecture

FrontendNext.js 14 App RouterISR for product pages — fast load, auto-refresh on update
CMS / AdminCustom Django AdminFull product management, bulk import, PDF trigger
Backend APIDjango REST FrameworkProduct CRUD, search, category tree, inquiry handler
DatabasePostgreSQLFull-text search via GIN indexes, materialized views
Media StorageCloud Object StorageProduct images, generated PDFs, bulk import files
SEO LayerNext.js Metadata API + SitemapAuto-generated sitemaps, structured data per product

What we built

Self-Managed Admin Panel

Staff add, edit, and categorize products entirely without developer involvement. Category trees, product specifications, images, and SEO fields are all manageable from one interface.

Bulk Product Import

Hundreds of products can be imported from a single spreadsheet. The system validates every row before committing, rejecting duplicates and flagging errors with line-level detail.

Automated PDF Catalog Generation

Product catalogs by category are generated automatically when products are added or updated. Buyers can download a current, formatted PDF catalog without any manual work from the team.

Full-Text Product Search

Buyers search across 10,000+ products with results ranked by relevance. Searches cover product names, descriptions, specifications, and category tags simultaneously.

Multilingual Interface — 180+ Languages

International buyers browse in their native language. The platform detects browser language and serves translated content automatically, with no manual translation work required for common languages.

SEO-First Product Architecture

Every product and category page is server-rendered with structured data, canonical tags, and auto-generated meta content. New products appear in search engines without any manual SEO work.

Buyer Inquiry System

International buyers submit product inquiries directly from any product page. Inquiries are routed to the right team member and logged for follow-up tracking.

Technical highlights

PostgreSQL GIN indexes on tsvector columns for sub-500ms full-text search across 10,000+ products

ISR with on-demand revalidation — product pages update automatically when admin edits are saved

Transactional bulk import — partial failures roll back without corrupting existing catalog data

Automated PDF generation pipeline triggered by product lifecycle events

Edge-level language detection with translation caching to eliminate latency for non-English users

Auto-generated XML sitemaps and structured data for every product and category page

Composite database indexes on (category_id, status, created_at) for fast category browsing

Built with
Next.js 14Django REST FrameworkPostgreSQLPythonTailwind CSS
AticoExports.com screenshot

The impact

10,000+

Products cataloged

180+

Languages supported

35+

Countries served

<500ms

Search response time

0

Developer hours per product update

Automated

PDF catalog generation

Business outcomes

Zero Developer Dependency for Operations

The client's team manages thousands of products, categories, and catalog updates entirely independently. What previously required developer time now happens in minutes from the admin panel.

International Buyer Experience

Buyers across 35+ countries browse in their native language with product content that is relevant, searchable, and structured for how industrial buyers actually look for equipment.

Search Engine Visibility

Every product has a properly structured, server-rendered page with automatic SEO metadata. The catalog is indexed and discoverable for the exact terms international buyers search.

Lessons learned

Bulk import systems need row-level error reporting — rejecting an entire file because of one bad row is not acceptable for non-technical users

ISR revalidation timing matters — product updates that felt "instant" to the admin took minutes to reflect publicly without on-demand revalidation

Translation caching strategy should be designed before launch, not added later — retrofitting it caused a week of extra work