The rapid adoption of AI agents has major implications for who captures value in consumer transactions—particularly who owns the end customer. In the pre-internet era, the balance of information between retailers and brands was relatively even: Retailers had access to granular, receipt-level data and brands could gather “sell-through” information across the broader market.
Florence and Céline talk about how AI is revolutionizing the workplace, improving productivity, creating new opportunities, and transforming the way employees collaborate.
Digital advertising and measurement are evolving fast, driven by privacy centric measures. These driving forces consist of changing legislation, growing awareness for data ethics, privacy enhancing browsers and hardware, developments such as Google’s Privacy Sandbox and data clean room solutions. Also, there are ‘new kids on the block’ introducing zero-party data technologies such as AI agents, customer questionnaires for data collection, personal data wallets where customers are in control of their data.
In the context of slow growth in the global luxury market, Chinese consumers remain a significant force. However, their consumption behavior is undergoing notable changes.
If your boss asks you for a critical number, and you use your company’s “Ultra Secure Internal GPT” to retrieve the information—only for the result to be incorrect—whose fault is it? The answer, as we all know, is yours for failing to validate the output. This creates a paradox: while companies push AI to accelerate decision-making, they place ultimate responsibility for AI-driven outcomes on humans. The question then becomes: What is the sweet spot between AI autonomy and human oversight?
Assortment optimization is a critical process in retail that involves curating the ideal mix of products to meet consumer demand while taking into account the many logistics constraints involved. The retailers need to make sure that they offer the right products, in the right quantities, at the right time. By leveraging data and consumer insights, retailers can make informed decisions on which items to stock, how to manage inventory, and what products to prioritize based on customer preferences, seasonal trends, and sales patterns.
Artificial Intelligence (AI) sovereignty is no longer a theoretical concept—it has become a critical priority for businesses and governments worldwide. On January 30th, 2024, at the Unlimitrust Campus, a dynamic conference brought together some of the brightest minds in AI to unpack the complexities and opportunities surrounding AI sovereignty.
By joining forces together, and combining the power of Treasure Data Customer Data Platform (CDP) with Artefact’s end-to-end consultancy support services, brands can generate more business value from their marketing campaigns by offering data-driven personalized experiences.
Edouard de Mézerac is Artefact’s Managing Partner, Global Lead of Luxury & Beauty and Global Lead of Industry Practices. He has spent much of his career in Asia, from Shanghai to Singapore, developing deep expertise in the region’s AI-driven luxury ecosystems. Significantly different from Western systems, China’s AI is defined by an abundance of data from its large population, and one-stop social media platforms like WeChat that differ from more decentralized Western models. Edouard and the Artefact teams have collaborated with many major luxury groups across China, the US, and Europe, giving a holistic view of the luxury industry.
