In short
This Master Thesis focuses on designing a future operating model for Ericsson's Site Material supply chain, leveraging AI, Integrated Business Planning, and advanced analytics for a predictive and autonomous supply chain by 2030. The project involves analyzing the current model, defining digital and analytical capabilities, and developing a strategic blueprint with a prioritized roadmap.
Responsibilities
- Analyze the current Site Material supply chain operating model and challenges, benchmarking leading practices in AI-enabled supply chains, IBP, advanced analytics, scenario planning, and decision support.
- Identify digital capabilities, data foundations, system integration, and analytical capabilities required for the future operating model.
- Define a future-state operating model incorporating predictive demand sensing, AI-generated recommendations, automated scenario planning, exception-based management, and human-AI collaboration, supported by a prioritized roadmap.
- Validate the proposed model and recommendations through stakeholder interviews, workshops, selected use cases, and internal/external benchmarks.
- Present a strategic blueprint supporting Ericsson’s long-term ambitions for digitalization, resilience, and cost leadership.
Requirements
- Final year Master’s student in Supply Chain Management, Industrial Engineering, Data Science/Artificial Intelligence, Business Analytics, or a related field.
- Strong interest in supply chain strategy, operating-model design, digital transformation, AI, and IBP.
- Analytical mindset to structure complex business problems and translate insights into practical recommendations.
- Strong communication and presentation skills.
- Ability to engage with business stakeholders in English.
- Ability to work independently, collaborate across functions, and possess a curious, proactive, and structured problem-solving mindset.
Desired Qualifications
- Interest in AI, machine learning, advanced analytics, optimization, simulation, and digital decision support.
- Experience with Python, SQL, Power BI, or similar data analysis and visualization tools is an advantage.
Benefits
- Outstanding opportunity to use your skills and imagination to push boundaries.
- Build solutions never seen before to some of the world’s toughest problems.
- Be challenged in a team of diverse innovators.
- Opportunity to craft what comes next.
#AI#Supply Chain#Master Thesis
Company
Ericsson
Job Posted
1 day ago
Employment Type
Internship
WorkMode
On Site
Experience Level
Student
Locations
Stockholm, Sweden
Qualification
Master
Applicants
Be an early applicant