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

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

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

Do you recognize yourself in this challenging profile? Are you looking for an internship in our organization? For more information, contact us by e-mail: internship@vanderlande.com.