Luxury Resale & Auction Marketplace
Project Overview
We’re building a full‑stack auction marketplace that digitises the entire luxury‑collectibles trade, turning every rare watch, artwork and piece of jewellery into a live data point. Sellers upload lots in minutes, while our Next.js front‑end streams bid activity through WebSockets to a Django‑backed cloud, delivering millisecond‑level updates to collectors anywhere in the world. AI models verify authenticity and provenance, replacing manual appraisal chains with instant, traceable reports. Escrow‑protected payments—powered by Stripe Connect with optional crypto—remove settlement risk, and a seller CRM tracks reserve pricing, consignment fees and payouts in real time. On the buyer side, watch‑lists, auto‑bid rules and mobile push alerts keep high‑value clients engaged throughout the auction. Under the hood, Postgres and Redis capture bid velocity and GMV, feeding an analytics layer that surfaces cohort spend, heat‑maps of bidding spikes and multi‑sale performance trends. Scheduled PDF/Excel exports and web dashboards give galleries, dealers and estate houses a single pane of glass for compliance and finance. Designed for scale on AWS S3 + CloudFront, the platform can roll out white‑label instances for multiple auction houses with minimal set‑up—cutting operational overhead and expanding global reach faster than traditional auction tech.
Technology Stack
JavaScript
Python
CSS
django
Application Showcase
User Interface
The application features a clean, intuitive interface designed for optimal user experience. Each screen was carefully crafted to provide easy navigation and clear information hierarchy.
- Responsive design across all devices
- Streamlined user flows
- Accessibility-focused interface
Development Process
Data Collection & Research Phase
In-depth analysis of industry competitors and existing platforms. Stakeholder interviews and technical discovery sessions to capture user needs, KPIs, and operational requirements. Defined user journeys for logistics staff, admins, and analytics teams. Created detailed documentation, including a Product Requirements Document (PRD), sitemap, data flow diagrams, and API expectations. Regulatory research included maritime logistics standards and environmental compliance.
Discovery & UX Phase
Collaborated with stakeholders to convert business goals into wireframes and screen flows. Designed the UX for desktop dashboards, mobile control panels, and admin tools. Special focus on dark-themed UI for control room environments, real-time visual feedback, and accessibility. Prototyped screens for ship route monitoring, sensor health, cargo data, and AI forecasting overlays.
Back-end Development
Developed robust, scalable APIs in Python (Django/FastAPI) with modular architecture. Integrated ship telemetry, sensor inputs (temperature, pressure, diagnostics), and cargo data pipelines. Connected to PostgreSQL + Redis for storage and caching. Built core services for route logging, cargo tracking, energy conversion stats, waste handling validation, and user authentication. Used Celery with RabbitMQ for task queues, job scheduling, and bulk processing.
Front-end Development
Built a responsive SPA using React.js + TypeScript, styled with TailwindCSS. Implemented dynamic dashboards: ship movement maps, loading progress bars, smart filter panels, and live metrics. Added chart components for trends, sensor outputs, and efficiency KPIs. Integrated secure user sessions, admin roles, and real-time WebSocket support for live updates. Ensured UI scaling for desktop displays and control terminals.
Mobile App
Developed a cross-platform mobile app using React Native, supporting route monitoring, cargo updates, and system alerts. Real-time sync with backend APIs. Push notifications for port arrivals, delays, or anomaly triggers. Enabled offline data entry and delayed sync for at-sea scenarios with limited connectivity. Optimized UX for fast field interaction by port agents and onboard crew.
CRM System
Built a powerful internal admin system to manage ship profiles, cargo manifests, energy processing events, port stops, compliance logs, and fleet-wide analytics. Features included role-based access, auditing, custom filtering, and exportable reports. CRM integrates with external compliance bodies and partner networks via secure APIs.
CI/CD & Deployment
Deployed via Docker containers with infrastructure managed through Terraform. CI/CD powered by GitHub Actions with pre-prod staging, unit/integration test pipelines, and Sentry error tracking. Hosted on AWS with multi-zone redundancy and auto-scaling enabled. Web frontend deployed to Cloudflare Pages + CDN caching for optimal load speed.
QA & Testing
Implemented a layered testing approach: * Unit tests (Pytest, Vitest) * E2E tests (Playwright, Cypress) * Manual QA covering transport logic, user roles, data filters, and dashboard rendering Security validation included XSS/CSRF protection, HTTPS enforcement, API throttling, and secure token management.
Post-Launch Support
Ongoing A/B testing for dashboards and alert UX. Monitoring usage heatmaps with PostHog. Conducted performance audits and scaling improvements. Set up user feedback loop with email follow-ups and dashboard survey prompts. Maintained weekly patch release cycle with hotfix capability. Prepared documentation and provided handover training for internal ops teams.
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