Graduation: How to use data and modern technology (AI) to boost Services sold and delivered to Amazon?

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Veghel
Internship
Logistics • Other • Software
The Role
This graduation project involves using data and AI to enhance services for Amazon, focusing on improvements in service delivery, customer satisfaction, and business opportunities.
Summary Generated by Built In
Job TitleGraduation: How to use data and modern technology (AI) to boost Services sold and delivered to Amazon?

Job Description

Assignment type: Graduation

Start date: September 2025

Assignment duration: 6 months

Location: Veghel

Education level: Bachelor/Master

Desired study: Data Science, Computer Science, Engineering or related

Language: English

Description of assignment

In today's fast-paced world, leveraging data and AI is essential for improving our service offerings to key accounts like Amazon. This graduation project will explore innovative ways to use data analytics and AI to enhance the services we provide to Amazon, focusing on retrofits, modifications, renovations (RMR), hotline services, and spare parts services related to material handling equipment across Europe.

Investigate and analyse existing service data to identify trends, patterns, and opportunities for improvement. Develop and implement AI-driven solutions to optimize service delivery, predict maintenance needs, and enhance customer satisfaction. Improve REI offerings (scope and content), hotline services, and spare parts management using AI to ensure timely and efficient responses to customer inquiries. 

Increased efficiency and effectiveness of service delivery to Amazon. Enhanced customer satisfaction through proactive and data-driven service improvements. Identification of new business opportunities and service enhancements. Development of a scalable AI framework for continuous service optimization. 

The project will involve a combination of data analysis, AI model development, and practical implementation of proposed solutions. Regular feedback from stakeholders and piloting of available outcomes will ensure the project's alignment with business goals and customer needs.

This graduation project offers a unique opportunity to blend data science and AI with practical business applications, driving innovation and excellence in service delivery to one of our most important key accounts. 

Department description

The Amazon Service Department supports all material handling systems installed in Europe and the Rest of World area (Saudi Arabia, Australia), ensuring the reliability of Amazon's logistics operations. The team, consisting of approximately 35 full-time employees within the department and another 35 FTE working in 24/7 shifts within the Remote Service Desk, carries out the following activities: 

Hotline Services: Providing immediate support and troubleshooting for operational issues. 
 

Spare Parts Services: Timely delivery of spare parts and spare parts packages to minimize downtime. 
 

Warranty and Quality Assurance: Ensuring all services meet high standards and comply with warranty terms. 
 

Modifications and Retrofits: Implementing hardware and software changes and upgrades to existing systems to enhance performance and adapt to new requirements. 
 

Extensions: Expanding current systems to accommodate increased capacity and new functionalities. 
 

Amazon Service Department EU is based in the Global Amazon Service Domain supporting Amazon globally. Physically the EU+RoW team is working in our Veghel (NL) and Mönchengladbach (DE) offices. Your main location will be Veghel, but it is definitely recommended to combine this with working at Mönchengladbach as well. This will give you a better understanding of the department and help you successfully complete your internship/graduation project.
 

Tasks/responsibilities

Data Analysis: 

  • Collect and analyse service data to identify trends and opportunities

  • Develop AI models to predict maintenance needs and optimize service delivery

Service Enhancements: 

  • Propose new type of modifications, retrofits, and extensions based on installed base data insights
  • Improve hotline services and spare parts management using AI

Reporting: 

  • Communicate progress and gather feedback from stakeholders
  • Create a final report describing all findings, developments and achievements
Your profile
  • Comfortable with data collection and analysis
  • AI and Machine Learning: Experience with AI models
  • Can interpret data and apply it meaningfully
  • Clear in writing and speaking English
  • Can present ideas well
  • Can plan and manage projects
  • Works well alone and in teams
  • *Mandatory enrolment to a Dutch Education System & resident of The Netherlands
Contact

Do you recognize yourself in this challenging profile? Are you looking for an internship in our organization? Please fill out the application form and upload your resume and cover letter. For more information, contact us by e-mail: internship@vanderlande.com.

Top Skills

AI
Data Analytics
Machine Learning
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The Company
HQ: Veghel
7,500 Employees
On-site Workplace
Year Founded: 1949

What We Do

Vanderlande is the global market leader for future-proof logistic process automation at airports. The company is also a leading supplier of process automation solutions for warehouses and in the parcel market.

Vanderlande’s baggage handling systems are capable of moving over 4 billion pieces of baggage around the world per year. Its systems are active in more than 600 airports including 12 of the world’s top 20. More than 52 million parcels are sorted by its systems every day, which have been installed for the world’s leading parcel companies. In addition, many of the largest global e-commerce players and retailers have confidence in Vanderlande’s efficient and reliable solutions.

The company focuses on the optimisation of its customers’ business processes and competitive positions. Through close cooperation, it strives for the improvement of their operational activities and the expansion of their logistical achievements. Vanderlande’s extensive portfolio of integrated solutions – innovative systems, intelligent software and life-cycle services – results in the realisation of fast, reliable and efficient automation technology.

Established in 1949, Vanderlande has more than 7,500 employees, all committed to moving its customers’ businesses forward at diverse locations on every continent. With a consistently increasing turnover of 1.8 billion euros, it has established a global reputation over the past seven decades as a highly reliable partner for future-proof logistic process automation.

Vanderlande was acquired in 2017 by Toyota Industries Corporation, which will help it to continue its sustainable profitable growth. The two companies have a strong strategic match, and the synergies include cross-selling, product innovations, and research and development.

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