AI in Retail
Jönköping University
No physical attendance required
Startdatum:
Slutdatum:
Studietakt: 33 %
Publicerad utbildningskatalog
Utbildningsinformation från den publicerade källan. Utbildningen och dess tidsbundna tillfällen hålls åtskilda.
Kod: T2AIRW
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.
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.
Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.
Jönköping University
No physical attendance required
Startdatum:
Slutdatum:
Studietakt: 33 %
Hämtad: .
Publicerad: .
Publiceringsversion: 8e217193-f5fa-4778-b085-a4521fd03e8d
Kontrollsumma: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Senast ändrad enligt källan: 2026-08-12T12:27:46