Mehdi Fenjiro is a Senior Manager at Converteo, an expert in the luxury sector within the firm for over six years. After having supported several major players in the sector, he is now the privileged point of contact for the LVMH group on a vast data and digital perimeter.
To remember
- Data and AI technology enhances the customer experience in luxury
- These innovations allow luxury brands to anticipate trends and create tailor-made experiences.
- Their role is crucial in strengthening brand reputation, particularly in terms of social and environmental responsibility.
Luxury has always been synonymous with exclusivity, unparalleled know-how croatia phone number library and a promise of exception. To maintain this image and continue to offer a high-flying experience, luxury must adapt and evolve ! particularly with the help of technology. Today, data and artificial intelligence (AI) are at the heart of this transformation, playing a key role in meeting the two ! major challenges of the sector: enriching the customer experience and strengthening the brand image.
Putting the future in the present
Prediction is one of the most captivating virtues of data and AI. By analyzing ! and cross-referencing huge volumes of data of various natures, these technologies offer luxury brands the power to anticipate and ! stay ahead of the curve by detecting trends very early or anticipating consumer desires.
By analyzing vast quantities of online discussions using social ! listening tools, brands now know how to answer questions such as “What pieces are creating buzz following a particular fashion show?” or “Who are the rising after a week, sunrise (upc) still not convincing on the stock market influencers who could ! become tomorrow’s ambassadors?” and thus better guide their decisions on product developments and communication actions.
Another concrete application case: predicting sales, as Louis mobile list Vuitton does, which, by ! cross-referencing structured data (volume and sales history, behavior on the website, product characteristics, etc.) and ! unstructured data (details of product finishes, patterns and ornaments, etc.) refines its projections with formidable precision.