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    Case Study

    L'Oréal Achieves 64% Faster Customer Service Through AI Integration

    By adopting AI technology, L'Oréal has transformed its customer service operations, cutting resolution times from seven minutes to just 2.5 minutes, showcasing a pivotal shift in how beauty brands manage consumer relations.

    pymnts.com•October 5, 2026•2 min read

    Key Facts

    • L’Oréal reduced customer service case time by 64%, enhancing efficiency and lowering operational costs.
    • AI adoption reached 100% among eligible staff, indicating strong internal buy-in for tech integration.
    • The AI agent resolves 60% of inquiries autonomously, shifting human resources to complex cases, boosting productivity.
    • Consumer comfort with AI in retail is mixed; 50% use AI for purchases, but only 24% trust it with payments.
    • L’Oréal plans to expand AI tools to more brands and regions, signaling a strategic shift towards automation in customer care.

    Summary

    Summary

    L’Oréal implemented an AI agent on its YSL Beauty and Kiehl’s websites to handle order status requests, aiming to resolve 60% of inquiries without human intervention. This deployment reduced case handling time from 7 minutes to 2.5 minutes, significantly improving efficiency in customer service operations.

    Background

    L’Oréal is a global leader in the beauty industry, known for its diverse portfolio of brands including Lancôme, CeraVe, YSL Beauty, and Kiehl’s. Prior to the AI deployment, customer service representatives managed order status inquiries manually, which was time-consuming and less efficient.

    Challenge

    The primary challenge was to streamline the customer service process for order status requests, which typically took about 7 minutes to resolve. L’Oréal sought to enhance efficiency and reduce the workload on human advisers while maintaining high service quality.

    Solution

    L’Oréal deployed Salesforce’s AI agent, which autonomously handles order status inquiries on the YSL Beauty and Kiehl’s websites. The AI authenticates shoppers, retrieves live order and tracking data, and resolves requests using a library of preapproved responses. Human advisers are involved only for exceptions or more complex inquiries. The AI drafts initial replies in the brand's voice, which advisers then edit before sending.

    Results

    The implementation of the AI agent reduced the average case handling time from 7 minutes to 2.5 minutes. More than 300 advisers use the tool daily, achieving 100% adoption among eligible staff. The AI is expected to resolve 60% of inquiries without human intervention.

    Key Insights

    Businesses can leverage AI to enhance customer service efficiency without replacing human representatives. By carefully defining the scope of AI responses and maintaining a library of preapproved language, companies can ensure consistent communication while freeing up human resources for more complex issues.

    Customer Testimonial

    “We don’t want to replace our reps. We want to augment them,” said Alberto Rodrigues, assistant vice president of consumer care innovation and intelligence for L’Oréal USA.

    Entities Mentioned

    Companies

    L'Oréal
    Salesforce

    Products

    YSL Beauty
    Kiehl’s
    Lancôme
    CeraVe

    Technologies

    AI agent
    Agentforce

    People

    Luc Antoine
    Alberto Rodrigues

    Key Concepts

    AI in customer service
    Order status requests
    Case resolution time
    Consumer experience innovation
    Automation in retail
    Adviser augmentation
    Preapproved language library
    Regional expansion of tools

    Definitions

    AI agent
    An artificial intelligence system that automates customer service tasks, such as handling order inquiries.
    Agentforce
    Salesforce's AI agent platform that assists customer service representatives by summarizing conversations and drafting replies.
    Preapproved language library
    A collection of standardized responses that the AI agent uses to ensure consistent communication with customers.
    Consumer experience innovation
    The process of improving customer interactions and satisfaction through new technologies and strategies.
    Adviser augmentation
    The use of technology to enhance the capabilities of customer service representatives rather than replacing them.

    Use Cases

    • →Automating order status inquiries
    • →Authenticating shoppers
    • →Retrieving live order and tracking data
    • →Transferring chats to human advisers when necessary
    • →Providing follow-up case numbers after hours
    • →Expanding AI tools to additional brands and regions

    Frequently Asked Questions

    How much has L'Oréal reduced customer service case time?

    L'Oréal has cut customer service case time from approximately seven minutes to just 2.5 minutes using AI technology.

    What is the role of the AI agent on the YSL Beauty and Kiehl’s websites?

    The AI agent handles order status requests autonomously, authenticates shoppers, and retrieves live order data, operating around the clock.

    How does L'Oréal ensure the AI agent communicates effectively?

    L'Oréal limits the AI agent's responses to a library of preapproved language, ensuring consistency and appropriateness in communication.

    What happens when the AI agent encounters a complex request?

    If the AI agent cannot handle a request, it transfers the chat to a human adviser, providing the full conversation history for context.

    What future plans does L'Oréal have for its AI tools?

    L'Oréal plans to expand the use of AI tools to additional brands like Lancôme and to roll out these capabilities in Europe.

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