AI in Retail 5 credits
AI in Retail is an executive-level online course designed for professionals who want to understand how artificial intelligence and analytics can create value across the retail value chain.
The course explores how data-driven models are used in key areas such as personalized customer engagement, inventory and supply chain management, and operational efficiency and decision-making. Through short lectures, hands-on labs, and applied discussions, participants gain both strategic insight and practical experience with AI-powered tools.
A unique feature of the course is its strong focus on real-world application. Participants reflect on their own organizational context and develop actionable ideas for implementing AI in practice. Ethical, legal, and organizational challenges are also critically examined.
The course is fully online and designed to fit working professionals, combining flexibility with meaningful interaction.
Course Contents
Artificial Intelligence (AI) and advanced analytics are reshaping the retail sector, transforming how goods are planned, marketed, priced, delivered, and returned. As retail evolves toward digital, data-driven models, the ability to leverage analytics across the supply chain has become a key driver of resilience, efficiency, and customer satisfaction.
This executive-level course provides a strategic and hands-on overview of how analytics can optimize core retail operations, from demand forecasting and inventory management to last-mile delivery and returns. Participants will explore both established tools and applications (e.g., AI simulation platforms, analytics dashboards), as well as emerging areas such as AI-agents/Agentic commerce. The course also covers behind-the-scenes data-driven models that power decision-making in retail logistics. Special attention is given to the broader retail ecosystem.
With a focus on regional challenges such as distribution complexity, sustainability imperatives, and evolving customer expectations, the course blends case-based learning with practical exercises to equip leaders with the insight and tools needed to compete in today’s fast-changing retail environment.
The course includes the following elements:
- General Relevance of AI for Retail
- Personalized Shopping and Engagement
- Inventory and Supply Chain Management
- Operational Efficiency and Decision Making
- Challenges and Ethical Considerations
Prerequisites
Passed courses of at least 40 credits in a main field of study within Engineering and Technology, Natural Science or Social Sciences, and at least 1 year of work experience (or equivalent). English proficiency is required (level 6 or equivalent). Applicants that have at least 4 years of work experience in industry are exempt from the requirement of at least 40 credits within Engineering and Technology, Natural Science or Social Sciences field.
Selection
Level of Education: Master
Coursecode/Ladok code: T2AIRW
The course is conducted at: School of Engineering
| Label | Value |
|---|---|
| Study type | Distance learning |
| Number of required meetings | 0 |
| Semester | Spring 2027 |
| Study period |
week 9 - week 18
|
| Rate of study | 33% |
| Language | English |
| Location | Web-based |
| Time | Mixed-time |
| Tuition fees do NOT apply for EU/EEA citizens or exchange students | 14250 SEK |
| Syllabus (PDF) | |
| Application code | HJ-31003 |