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    Decagon's AI Concierge Enhances Customer Service for Rituals in Benelux

    Decagon's bold move into the Benelux region aims to redefine customer interactions through advanced AI solutions, exemplified by its rapid deployment of Ray for Rituals, enhancing customer experience across 19 countries.

    decagon.ai•September 21, 2026•2 min read

    Key Facts

    • Decagon's AI concierge, Ray, scaled Rituals' customer service across 19 countries in 2 months.
    • Rituals achieved zero backlog during peak seasons, highlighting AI's impact on operational efficiency.
    • Localized AI solutions provide competitive edge in diverse markets, enhancing customer experience.
    • Decagon's rapid deployment of AI agents reflects a strategic shift towards agile technology integration.
    • High-quality AI interactions can deepen customer relationships, indicating long-term financial benefits.

    Summary

    Summary

    Decagon partnered with Rituals, a luxury beauty and wellbeing brand, to enhance their customer experience through AI. The challenge was to scale customer service during peak periods without compromising quality. The solution was the implementation of Ray, an AI concierge, which allowed Rituals to handle up to 9,000 customer cases daily with zero backlog for the first time.

    Background

    Rituals is a global luxury beauty and wellbeing brand founded in Amsterdam. Before deploying Decagon's AI solution, Rituals faced challenges with previous chatbot tools that failed to deliver the necessary quality and consistency in customer service. The brand needed a solution that could effectively scale their customer interactions across multiple languages and markets.

    Challenge

    Rituals sought to address the high volume of customer inquiries during peak seasons, such as the holiday and Black Friday periods, while maintaining a high-quality customer experience. The existing tools were inadequate, leading to backlogs and inefficiencies in customer relations.

    Solution

    Decagon developed Ray, an AI concierge, tailored to Rituals' needs. The implementation was rapid, expanding Ray's capabilities across 19 countries and 15 languages within just two months. This AI agent was designed to handle a significant volume of customer inquiries, allowing human agents to focus on more personalized interactions.

    Results

    Ray enabled Rituals to manage up to 9,000 customer cases daily without any backlog for the first time. This not only improved operational efficiency but also enhanced the overall customer experience during peak times.

    Key Insights

    Businesses looking to scale customer service should consider AI solutions that can adapt to various markets and languages. A well-implemented AI concierge can significantly reduce backlogs and free up human resources for high-touch customer interactions.

    Customer Testimonial

    “During peak holiday and Black Friday season, we can see up to 9,000 cases a day. With our agent, Ray, handling a significant portion of that volume, we had zero customer relations backlog for the first time ever.” — Rommy Verschelling, Head of Customer Relations at Rituals.

    Entities Mentioned

    Companies

    Decagon
    Rituals
    Deutsche Telekom

    Products

    Ray

    Technologies

    AI
    LLMs

    People

    Kartik Sheth
    Rommy Verschelling

    Key Concepts

    AI agents
    customer experience
    omnichannel
    scalability
    language adaptation
    high-touch customer relationships
    automation
    user interaction

    Definitions

    AI agents
    AI agents are software programs that use artificial intelligence to interact with users and perform tasks autonomously.
    CSAT
    CSAT stands for Customer Satisfaction Score, a measure of how products or services meet customer expectations.
    LLMs
    LLMs, or Large Language Models, are advanced AI models designed to understand and generate human-like text.
    omnichannel
    Omnichannel refers to a multi-channel approach to sales and customer service that provides a seamless customer experience.
    high-touch
    High-touch refers to a personalized approach in customer service that emphasizes direct interaction and relationship building.

    Use Cases

    • →Scaling customer service during peak seasons
    • →Building customer experiences that reflect brand identity
    • →Deploying AI agents across multiple languages and markets
    • →Improving workflow efficiency for customer experience teams
    • →Enhancing customer relationships through intelligent workflows
    • →Prototyping and deploying AI solutions rapidly

    Frequently Asked Questions

    What is Decagon's main focus in the Benelux region?

    Decagon is focused on expanding its presence in Belgium, the Netherlands, and Luxembourg by building a local team to enhance collaboration with customers and partners in the AI ecosystem.

    How does Ray improve customer service for Rituals?

    Ray, the AI concierge developed by Decagon for Rituals, helps manage high volumes of customer inquiries, allowing the brand to maintain a high-quality customer experience even during peak periods.

    What are the benefits of using AI agents in customer service?

    AI agents can handle large volumes of inquiries, provide consistent responses across languages, and free up human agents to focus on more complex customer interactions, thereby enhancing overall service quality.

    What industries can benefit from Decagon's AI solutions?

    Decagon's AI solutions can be applied across various industries, including retail, travel and hospitality, fintech, and edtech, addressing high-value business use cases in each sector.

    How quickly can Decagon's solutions be deployed?

    Decagon emphasizes rapid deployment, allowing businesses to prototype and ship AI solutions to production within days, ensuring quick adaptation to user needs and market demands.

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