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Redefining customer support with conversational AI for Spa Ceylon
We built a conversational AI assistant for Spa Ceylon to not just resolve repetitive queries but also to intelligently recommend products just like a human agent.

INDUSTRY : Skincare and Cosmetics

Location :  Sri Lanka

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About Spa Ceylon

With roots spanning over 50 years in the field of wellness & beauty products in modern Ayurveda beauty care in Sri Lanka, Spa Ceylon is one of the world’s largest luxury Ayurvedic wellness chains with over 100 stores globally. Spa Ceylon combines Ayurveda wisdom, fine natural ingredients & contemporary design to bring you the ultimate in Ayurveda luxury – for health, well-being & relaxation.

Objective
  • Provide a seamless digital experience by maintaining speed and efficiency in engagement and matching customer expectations.
  • Minimize the response time for customer inquiries without increasing operational costs by scaling up the customer support team.
Solution

We built an end-to-end conversational AI assistant which can resolve FAQ inquiries, engage in contextual conversations with customers, recommend products and provide suggestions proactively.

With nearly 5000 customer support inquiries received daily Spa Ceylon's customer support team of 15 individuals was facing a massive upsurge. Rather than following the traditional route of upscaling the customer support team, Spa Ceylon partnered with us to find a more convenient and efficient solution.

We conducted several workshops and discussions with Spa Ceylon’s leadership team to understand their domain, problems, and goals to develop a product that is truly unique and caters to all their needs. We built an end-to-end conversational AI assistant capable of engaging in dynamic conversations, recommending products based on inquiries and thorough product knowledge, maintaining a dynamic knowledge base, and resolving FAQ inquiries. Our solution also allows the customer support team to engage in conversations where human intelligence and understanding are essential rather than responding to repetitive inquiries.

hours to seconds.
Reduction in average response time from
78% to 100%
Increase in average response rate from
15%
of all conversations escalated to human support agents