How H&M Enhanced Customer Support with AI Chatbots
16/07/24
By:
DuckCX Editoral Team
H&M, the global fashion retailer, used AI chatbots to handle customer inquiries across channels, ensuring consistent and efficient support, especially during peak seasons.
The Challenge
With customers reaching out through social media, websites, and mobile apps, H&M needed a scalable solution to handle a large volume of inquiries while maintaining a high level of service.
The Solution
H&M deployed AI chatbots on its website and social media platforms to handle routine customer inquiries, such as order tracking, product availability, and return policies. The chatbot is equipped with natural language processing (NLP) to understand customer queries in different languages and provide accurate responses.
The Results
The chatbot has successfully managed a large portion of customer inquiries, reducing the load on human agents. This has led to faster response times, higher customer satisfaction, and a more efficient customer service operation. Additionally, by analyzing chatbot interactions, H&M has gained valuable insights into customer preferences and behavior.
Key Takeaway
H&M’s use of AI chatbots demonstrates how companies can improve customer support across multiple channels, enhance response times, and gather data to inform business strategies.
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