Customer Service · 6 October 2026
L'Oréal Cuts Customer Service Handling Time by 64% With AI
L'Oréal has reduced customer service handling time by 64% after deploying AI across its support operations, PYMNTS reports, signalling AI's shift from pilot to measurable operational impact.
What happened
L’Oréal has cut the time its customer service teams spend handling enquiries by 64% after deploying artificial intelligence across its support operations, according to PYMNTS. The beauty group’s move reflects a broader push among large consumer brands to use AI to streamline service interactions and reduce resolution times.
Why it matters
A reduction of this scale signals that AI is moving well beyond pilot projects into measurable, operational impact on service delivery. For large consumer brands handling high volumes of enquiries across markets and languages, AI-driven triage, response drafting and knowledge retrieval can materially compress the time agents spend per case — freeing capacity for more complex or emotionally sensitive interactions that still require a human touch.
For leaders in experience and digital transformation, the result underscores that AI’s most immediate value in customer service often lies not in replacing agents but in removing friction from repetitive, low-complexity work — a shift that changes how service teams are staffed, trained and measured.
By the numbers
- 64% reduction in customer service handling time reported following L’Oréal’s AI deployment.
The Renascence take
Headline efficiency gains like this tend to get read as a cost story, but the more interesting question is what happens to the time that’s freed up.
A 64% drop in handling time is only a win if the recovered capacity is redirected toward judgment-heavy moments — complaints, loyalty-sensitive queries, or anything with emotional stakes — rather than simply absorbed into headcount reduction. The behavioral risk is that speed becomes the only metric leadership watches, while satisfaction and trust quietly erode because customers feel processed rather than heard. Brands that get this right will pair AI-driven efficiency with a deliberate redesign of what agents now spend their time on, and will keep measuring resolution quality, not just resolution speed.
Sources
This briefing was written by our Newsdesk, synthesising reporting from the outlets below. Follow the links for the original coverage.
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