Will You Design Our Next Smart Solution?
Are you ready to apply your analytical and problem-solving skills to a real-world logistics challenge? Join us for a project that combines data, algorithms, and operational efficiency!
The Assignment
You will focus on developing an algorithmic approach to perform random exit inspections on loaded trucks. These inspections are an essential part of our quality control and security processes. However, selecting which trucks to inspect is currently manual and not always consistent.
Your challenge? Design a smart, fair, and efficient system that determines which trucks to inspect at exit points — using a combination of randomization, business rules, and possibly real-time data. The solution must be practical, scalable, and adaptable to different scenarios.
What You’ll Do
Analyze the current inspection process
Identify key variables that could influence selection (e.g. time, type of cargo, risk profiles)
Research and design a suitable algorithm (e.g. weighted random selection, rule-based logic, etc.)
(Optionally) Develop a working prototype or decision-support tool
Present your findings and recommendations to stakeholders
What You’ll Learn
Practical experience with algorithm design and decision-making systems
Understanding of logistics and operational constraints
Working with stakeholders to translate needs into technical solutions
Turning data and logic into actionable tools
Who Are We Looking For?
A motivated student in a relevant field such as:
Computer Science
Applied Mathematics
Logistics Management
Data Science
Artificial Intelligence
You are comfortable working with logic, algorithms, and possibly code — and you’re eager to turn theory into practical value.
Ready to create impact with smart thinking?
Apply now and help us shape the future of logistics decision-making!
