Wiley Chaubard – AI for Retail

Libro adottato a LUMSA, a.a. 2026/2027 · 1 canale

Come lo indica il docente: FREQUENTANTI Dispense di AI and Distribution Management a cura del docente Articles and reports from Harvard Business Review, McKinsey, Deloitte Testi consigliati: ● HBR Report (2024), AI: The Secret to a Thriving E-Commerce Business. ● Artun O. & Levin D. (2017), Predictive Marketing: Easy Ways Every Marketer Can Use Customer Analytics and Big Data, Wiley. ● Chaubard F. (2023), AI for Retail: A Practical Guide to Modernize Your Retail Business with AI and Automation, Wiley Lettura aggiuntiva: ● Stern, J. (2015), Artificial Intelligence for Marketing: Practical Applications, Wiley. Dataset da: Kaggle, UCI Machine Learning Repository, ISTAT, Eurostat. Strumenti AI-driven: ● ChatGPT/Claude per content generation ● DALL·E/Midjourney/Canva per visual design ● Google Analytics/Meta Ads/CRM demo per analisi ● Google Colab per NLP e clustering base ● Miro/Figma/Notion per project design e presentazioni NON FREQUENTANTI Dispense di AI and Distribution Management a cura del docente Articles and reports from Harvard Business Review, McKinsey, Deloitte Testi consigliati: ● HBR Report (2024), AI: The Secret to a Thriving E-Commerce Business. ● Artun O. & Levin D. (2017), Predictive Marketing: Easy Ways Every Marketer Can Use Customer Analytics and Big Data, Wiley. ● Chaubard F. (2023), AI for Retail: A Practical Guide to Modernize Your Retail Business with AI and Automation, Wiley Lettura aggiuntiva: ● Stern, J. (2015), Artificial Intelligence for Marketing: Practical Applications, Wiley. Dataset da: Kaggle, UCI Machine Learning Repository, ISTAT, Eurostat

Chi lo adotta

• Ai & Distribution Management – Prof. Giovanni Battista Dagnino (canale unico)Digital Communication – Society, Business & Culture - sede di Palermo · Laurea magistrale (LM-59) · 2º anno · 2º semestre

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