Functiebeschrijving

The intern will work on designing and developing behavioral customer segmentations based on real-world truck and customer data. This project will directly contribute to better product targeting, improved service design, and more effective sales and marketing strategies.

Objective

Create a data-driven segmentation model that identifies distinct customer groups based on:

• Truck usage patterns (e.g., driving hours, idling, routes, fuel consumption)
• Digital service adoption (e.g., which in-truck software services are used, frequency, engagement levels)
• Customer profile attributes (e.g., fleet size, industry, location)
• Operational behavior (e.g., maintenance habits, uptime performance)

The outcome should help the company tailor offerings, suggest new service bundles, and optimize customer interactions.

Key Responsibilities,The intern will:

1. Explore and analyze datasets

• Clean and preprocess truck telemetry data
• Examine customer information (fleet size, geography, industry)
• Understand how various digital services are used

2. Define segmentation variables

• Identify the most relevant behavioral indicators
• Select KPIs that meaningfully differentiate customer groups

3. Build segmentation models

• Apply clustering methods (e.g., k-means, hierarchical clustering)
• Evaluate and compare segmentation outputs
• Visualize and interpret emerging customer segments

4. Create actionable segment descriptions

• Profile each segment (e.g., “High-Tech Power Users”, “Fuel-Efficiency Seekers”)
• Highlight business implications
• Suggest opportunities for product, marketing, and sales teams

5. Present insights to stakeholders

• Prepare a concise presentation of findings
• Explain methodology, results, and recommendations
• Provide a roadmap for future data-driven segmentation improvements