Searches for "AI in Beauty" increased by 5,000% over the past three months compared with the same period last year, while searches for "AI in Retail" rose by 2,500%, indicating growing interest in how beauty will be impacted by AI-driven commerce.
The findings come as consumers increasingly use AI to discover and buy products. According to Euromonitor International, across fast-moving consumer goods, AI referral traffic is already concentrated in a narrow set of categories. Beauty and personal care captures roughly 45% of generative AI referrals.
Fulfilment specialist Paxon says the rise in searches for AI in beauty reflects how AI is reshaping the customer buying journey. As AI shortens the path from product discovery to purchase, consumers are moving from browsing to checkout faster than ever. In response, fulfilment operations need to keep pace, with greater emphasis on speed, accuracy and the flexibility to respond quickly to changing demand.
Andrew Scanlon, Head of Sales and Marketing at Paxon, said:
As AI becomes a bigger part of the shopping journey, beauty brands need fulfilment operations that can respond just as quickly as consumer demand shifts.
"The beauty industry has always had to respond to unpredictable demand, whether that's driven by influencers, viral products or a constant stream of new launches. As AI accelerates the path from discovery to purchase, that pressure will only increase.
"Success will depend on operations that can adapt in real time, balancing inventory availability with efficiency while improving demand forecasting and enabling faster decisions around warehousing, stock positioning and transport. AI may change how consumers shop, but the brands that gain the greatest advantage will be those with fulfilment networks that are flexible enough to respond just as quickly."
Paxon expects beauty brands to increase investment in AI-enabled fulfilment capabilities, including predictive orchestration, machine learning and real-time operational intelligence to improve inventory allocation, prioritise orders and respond more effectively to fluctuating demand.
