Client: BIAT Bank

Industry: Banking & Logistics

Service Provided: Development of an Advanced Sorting Algorithm & Brute Force Optimization for a Parcel Management System

Technologies Used:

• Programming Languages: Python, C++

• Algorithmic Techniques: Merge Sort, Quick Sort, Radix Sort, Brute Force Heuristic Optimization

• Data Structures: Priority Queues, Graphs, Hash Maps

• Database Management: PostgreSQL, MongoDB

• API Development: Node.js, Express.js

• Security Measures: AES-256 Encryption, Secure API Authentication

• Performance Testing: JMeter, LoadRunner

Project Overview

BIAT Bank, one of Tunisia’s largest financial institutions, required a highly efficient parcel management system to handle thousands of sensitive banking documents, checks, and secured deliveries across its branches. The bank faced delays in parcel processing, inefficiencies in sorting mechanisms, and a lack of optimization in delivery routes.

Welink Tech was entrusted with designing and integrating an advanced sorting algorithm and a brute force optimization engine to significantly reduce processing time, enhance tracking accuracy, and improve the efficiency of parcel deliveries.

Challenges & Risks

✅ High Sorting Complexity – Parcels had varying levels of priority, requiring a sophisticated algorithm to handle urgent banking documents first.
✅ Security & Data Integrity – The system needed to protect sensitive bank documents from unauthorized access and tampering.
✅ Scalability & Speed – The algorithm had to process thousands of parcels in real-time without performance degradation.
✅ Route Optimization – The brute force algorithm had to determine the most efficient delivery paths across BIAT’s branches.

Solution Implemented

1. Development of a Custom Advanced Sorting Algorithm

• Implemented a hybrid sorting approach combining Radix Sort, Merge Sort, and Priority Queues to optimize sorting time.

• Utilized multi-threading to parallelize sorting tasks, reducing execution time by 40%.

• Designed a dynamic sorting mechanism that prioritizes urgent financial documents over lower-priority parcels.

2. Brute Force Route Optimization Algorithm

• Developed a brute force optimization engine to calculate the most efficient delivery routes across Tunisia’s banking branches.

• Implemented graph-based shortest path algorithms such as Dijkstra’s and A Search* to refine delivery paths.

• Used machine learning heuristics to predict peak traffic times and optimize delivery schedules accordingly.

3. Security & System Integration

• Enforced AES-256 encryption for securing sensitive bank parcel data.

• Developed a secure API authentication system using OAuth 2.0 and JWT for safe data exchange.

• Integrated the sorting and brute force modules into BIAT’s existing parcel management web application using a Node.js backend.

Impact & Results

🚀 60% Faster Parcel Processing with the new sorting algorithm.
🔐 Enhanced Security & Compliance with encrypted data storage and API authentication.
⚡ 30% More Efficient Delivery Routes, reducing operational costs and delivery delays.
📊 Real-time Tracking & Optimization for improved parcel monitoring across bank branches.
📈 Scalable System ready for nationwide expansion and increased data loads.