A Tracking and Inventory Control System for Refurbished Laptops Built by AdsCult

AdsCult built Unfurbed as a specialised inventory and tracking platform to bring visibility, control, and accountability to refurbished laptop operations. The system was designed to track every movement of high-value devices across testing, repair, quality checks, and resale.

About Unfurbed

Unfurbed was developed for a business operating in the refurbished electronics space, where laptops move through multiple operational cycles before reaching customers. The company required a system that could accurately track inventory movement and reduce operational losses.

Custom BuildDashboard

Stack We Used

The Challenge

Managing refurbished electronics involves far more complexity than traditional inventory systems can handle. The client’s existing processes were unable to keep up with high-frequency movement and multiple handling stages.

Manual Inventory Tracking

Operations relied heavily on Excel files and manual logs, leading to frequent data mismatches.

Untraceable Product Movement

 Laptops moved across warehouses, technicians, and QC stages without reliable tracking.

Multiple Inward and Outward Cycles

Generic inventory tools failed to support repeated movement of the same device.

Losses and Accountability Gaps

Missing units, unidentified losses, and thefts became difficult to trace.

Limited Operational Visibility

Management lacked real-time insight into stock status, ageing, and bottlenecks.

Our Approach

We focused on building a system that balanced operational simplicity with deep tracking capabilities.

We studied the complete refurbished workflow, from procurement to refurbishment to resale, identifying every movement point and risk area.

The platform was designed to be simple enough for warehouse and technician-level users, while still capturing detailed operational data.

A web-based system was built with scannable entries, batch operations, and lifecycle tracking for each device. Every action was logged in real time.

The platform was tested for speed, accuracy, and usability in high-volume environments. It was optimised for daily operational usage.

Why This Tech Stack

We selected technologies suited for real-time tracking, high data volumes, and operational analytics.

Django (Python Framework)

Robust backend framework for handling complex business logic.

  • Secure architecture
  • Scalable workflows

 

Python

Supports data processing and operational logic across the platform.

  • Reliable processing
  • Flexible integrations

MongoDB

NoSQL database for storing detailed movement logs and lifecycle data.

  • High write performance
  • Flexible data models

 

REST APIs

Enables smooth communication across modules and systems.

  • Modular architecture
  • Easy integrations

Tailwind CSS

Utility-first framework for clean and responsive interfaces.

  • Fast UI development
  • Consistent layouts

 

Bootstrap CSS

Provides additional UI components for operational screens.

  • Responsive design
  • Faster implementation

 

Cloud Hosting

Scalable infrastructure for real-time inventory systems.

  • High availability
  • Secure data handling

Results that created Impact

Operational Control

Scannable entries track all inward and outward movements with real-time visibility into stock location and status.

Product Lifecycle Management

Each laptop has a complete digital history covering procurement, repairs, QC stages, and final sale.

Technician-Level Tracking

Assignments and actions are logged at the technician level to ensure accountability and traceability.

Multi-Stage Quality Control

QC updates are recorded at every stage, capturing condition grades, repair notes, and outcomes.

Efficiency and Ease of Use

The interface is designed for speed, with bulk imports, minimal clicks, and quick navigation.

Analytics and Reporting

Dashboards provide insights into stock health, ageing, losses, and operational performance.

Unfurbed Software Gallery

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