Challenges
Data in the sector
Customer experience, desirability, omnichannel: data must serve the elegance of the brand as much as commercial performance, online and in store.
- 360° customer view and premium omnichannel personalisation
- Demand forecasting, allocation and scarcity management
- Counterfeit detection and product traceability (NFC, blockchain)
- GenAI for creative marketing and customer relations
By business function
Data and AI use cases
Marketing and CRM
360° customer view, segmentation, omnichannel personalisation and campaign performance measurement.
Retail and stores
Sales management by store, in-store customer experience, tools for sales teams.
Merchandising and supply chain
Demand forecasting, stock allocation, collection and scarcity management.
E-commerce
Journey analysis, recommendation, testing and conversion optimisation.
Creative and communications
Generative AI for content production, in keeping with brand identity.
References
Visian in the sector
- L'Oréal: data and product
- Accor: Direct Channel product ownership, Tableau dashboards, ADF data engineering and generative AI