Oleksandr Korol

Engineering case study

Evolving an antique marketplace, seller CRM, and commerce stack

This established UK antique marketplace combined customer discovery with flexible seller tools, commerce integrations, and a search-focused shopping experience.

Antique Seller CRM/Shop

This case study describes commercial work at a level suitable for public sharing. Client-identifying and confidential implementation details are intentionally omitted.

01

The challenge

A mature marketplace has to serve two audiences at once: buyers need fast discovery and filtering, while sellers need practical tools and reliable connections to payment, merchant, and social channels.

02

Engineering approach

  1. Used Django REST Framework for the product API and React for interactive marketplace and seller workflows.
  2. Integrated Algolia to support product search and filtering.
  3. Connected Stripe and PayPal payment flows alongside Google Merchant and social-platform APIs.
  4. Delivered a progressive web app using React Router, Redux, Material UI, and Leaflet.
  5. Used an operational stack that included Sentry, AWS services, Celery, Redis, PostgreSQL, and Nginx.

03

What the product enabled

  • Marketplace search and filtering
  • Seller-oriented CRM features
  • Stripe and PayPal commerce flows
  • Google Merchant and social-channel integrations

04

Delivered outcomes

  • Supported a user-friendly discovery experience for a leading UK antique marketplace.
  • Connected seller workflows to a broad commerce and marketing ecosystem.
  • Contributed to a product described as having strong SEO performance.

These outcomes summarize the available project record; no client metrics have been inferred.

05

Technology used

  • Django
  • DRF
  • Twilio
  • Stripe
  • PayPal
  • Algolia
  • Facebook API
  • Instagram API
  • Pinterest API
  • Google Merchant API
  • Sentry
  • React
  • React Router
  • Redux
  • Leaflet
  • Testing Library
  • Unit Testing
  • Progressive Web Apps
  • Material UI
  • AWS EC2
  • AWS SQS
  • Nginx
  • Redis
  • PostgreSQL

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