Prada Investor Day Presentation Deck slide image

Prada Investor Day Presentation Deck

Developing Personalisation at Scale Through Advanced Analytics and Technology Data Mining Data Acquisition Transactions Website behavior Client advisor interactions & insights NPS Aftersales Stock Data etc. 93% in-store transactions identified with client profiles PRADA Group Leveraging Datalake platform to manage big data processing and to identify revenue opportunities ● • Dedicated in-house analytics group +10 years transactional data available for advanced analytical tasks 69 Data Leverage Formulation of a dedicated customer strategy through data driven insights Leveraging advanced analytics for operational excellence optimisation (at a store/stock/SKU level) ~+2.5x redemption rate vs non targeted, resulting from Al prospecting and message customisation ~+50% product engagement vs. non personalised, driven by real-time Al customised recommendations Capital Markets Day 2021
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