ProgramsFall 2025 Industry Capstone ProgramProjectsAI-Driven Personalization Strategy for The Webster

Project Title: AI-Driven Personalization Strategy for The Webster

The Webster

Details
Project Title AI-Driven Personalization Strategy for The Webster
Project Topics
Skills & Expertise
Project Synopsis: Challenge/Opportunity
Enhancing Luxury Retail with AI: Personalized Recommendations and Customer Insights for The Webster

The Webster, a high-end fashion retailer proposes the development of an AI-driven personalization strategy to improve customer engagement, drive online conversion rates, and enhance the overall luxury shopping experience. Leveraging advanced data analytics and machine learning, the project will create a prototype for a personalized recommendation engine and deliver actionable customer segmentation insights.

The corporate partner for this project is Luigi DeGuzman. He has nearly six years of progressive leadership experience at The Webster, currently serving as VP of Merchandising. With a strong background in analytics and strategy, they previously held roles as VP of Analytics and Strategy and Director of Analytics, demonstrating a consistent track record of data-driven decision-making in the luxury retail space.
Project Synopsis: Activities/Actions Required
Objectives:
  • Analyze customer behavior and purchase patterns from available data (e.g., web analytics, CRM, sales data).
  • Design and prototype a machine learning model for product recommendations based on user preferences, browsing history, and style affinity.
  • Develop a segmentation framework (e.g., RFM, clustering) to target different customer personas with tailored marketing strategies.
  • Benchmark current personalization capabilities and identify strategic improvements.

Expected Deliverables:
  • Interactive dashboard showcasing customer segments, trends, and behaviors.
  • Prototype recommendation system with example outputs.
  • Executive summary and strategic roadmap with business implications and next steps.

Student Capstone Team Skills:
The team will comprise students with expertise in business analytics, AI/ML, marketing strategy, and data visualization tools (e.g., Python, Tableau, or Power BI).
  
Project Synopsis: Expected Results
Value to The Webster:
  • Improved customer experience through intelligent product discovery.
  • Increased customer retention and conversion through targeted outreach.
  • Data-driven insights to support strategic merchandising and marketing decisions.

Project Timeline

Touchpoints & Assignments Date Type

Getting Started: Complete Your Student Onboarding Form

 Aug 27 2025, 17:00 PM EST (UTC-05:00) Action Item

Welcome to the Fall 2025 Industry Capstone Program!

 Sep 02 2025 Project Milestone

Academic Calendar

 Sep 02 2025 Other

Fall 2025 Midterm Student Self Reflection

 Nov 07 2025, 23:59 PM EST (UTC-05:00) Evaluation

Fall 2025 Midterm Presentation

 Nov 07 2025, 23:59 PM EST (UTC-05:00) Project Milestone

Fall 2025 Final Presentation

 Dec 19 2025, 23:59 PM EST (UTC-05:00) Project Milestone

Fall 2025 Final Self Reflection

 Dec 19 2025, 23:59 PM EST (UTC-05:00) Evaluation

Program Managers

Name Organization