Our UAE-based client needed a custom web application to streamline their car auction process from vehicle acquisition to final sale. Their existing system relied heavily on manual data entry and fragmented workflows, leading to inefficiencies, errors, and delays in processing transactions. Cyberbeak developed a robust auction management system to automate and optimize the entire process.
Inefficient Manual Processes: The client faced delays in auction execution, inventory tracking, and payment processing.
Role-Based Access Control: Different employees had different responsibilities, requiring a hierarchical role management system.
Real-Time Auction Tracking: The lack of real-time updates made it difficult to monitor auctions, leading to mismanagement.
Payment & Booking System: The existing setup lacked a structured advance booking and payment tracking system.
✓ Automated Auction Workflow: From car acquisition to bidding, booking, and sales.
✓ Role-Based User Management: Employees, investors, and customers have specific dashboards with controlled access.
✓ Real-Time Bidding Management: Each auction session updates in real-time, ensuring transparency.
✓ Financial & Payment System: Tracks payments, advance bookings, expenses, and settlements.
✓ AI-Powered Analytics: Provides valuable insights based on past auction trends to optimize pricing.
Cyberbeak developed a custom web application using Django (backend), Next.js (frontend), and PostgreSQL (database) to create a scalable, high-performance system.
Real-time auction tracking was implemented using WebSockets.
AI-based analytics were introduced to predict car demand and pricing.
A hierarchical role-based access system ensured secure user control.
The financial system was structured to manage transactions seamlessly.
The new system reduced auction processing time by 60%, minimized errors, and increased overall efficiency.
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