

How Estée Lauder and Google taught AI to sell fragrances
Subscribe to enjoy similar stories. The AI chatbot Estée Lauder Companies built for its Jo Malone London fragrance brand has a uniquely difficult task. Unlike the current barrage of agentic stylists and shoppers tasked with picking outfits and hunting down deals, the “AI Scent Advisor" must spin everyday language into the intangible and totally nondigital experience of smelling.
The result is a chatbot with a fluttery, poetic tone. “Where would we like to journey today?" It asked during one session. “The freshness of an orchard? The warmth of a blooming flower garden? The windswept allure of the coastline?" The goal is to convince online shoppers to spend north of $100 on a scent suggested by a chatbot conversation filled with ethereal adjectives and descriptions of the English countryside.
“If a year ago I would have said to people, ‘Can we use AI to help you with scents?’ they’d be like, ‘Well, you can’t smell your iPad’," said Brian Franz, chief technology, data and analytics officer at Estée Lauder, which includes brands like MAC and Bobbi Brown. To make it happen, the firm turned to Google Cloud, which sent a handful of AI engineers armed with Gemini models to spend a day sniffing floral musk, and then managed to crack the code. Since a soft launch begun on Jo Malone in October, online shoppers who used the tool made purchases at almost double the rate of those who didn’t, helping Estée Lauder achieve that rare unicorn in generative AI: a tool that actually drives top-line growth.
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