Case studies
Fashion Retail · Customer Intelligence

Personalisation at scale in luxury fashion

The client

A global luxury fashion brand present across its own e-commerce, a direct retail network and wholesale channels. A customer base in dozens of countries, strong seasonality, frequent product drops and an omnichannel mix in which the physical store remains central.

The challenge
  • Customer data spread across e-commerce, CRM, clienteling, marketing automation and advertising — with no single view.
  • Personalisation uncoordinated across channels: email, site and store told different stories.
  • Propensity and recommendation models too slow for drops and campaigns.
  • A need to bring personalisation in store, into the sales assistant’s hands.
The solution
  • Profile unification through online and offline identity resolution.
  • Purchase Propensity and Product Recommendation ML models refreshed daily, with stock and store proximity.
  • Cross-channel journey orchestration: email, real-time recommendation on site and app, in-store clienteling.
  • A feedback loop between activation and the CDP to measure conversion by channel and segment.
The results
20M+
personalised communications/year in production
10×
ROI on the personalisation module in year one
real-time
recommendation on site, app and store

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