The customer encountered the following challenges during the sales of insurance products:
The customer needed an optimized insurance buying journey for their customers, allowing them to swiftly purchase a product. This required a system to quickly collect necessary information in the user’s preferred language and on a familiar platform, ensuring a more personal and convenient process.
Converse.CX, a conversational AI platform for insurance, was introduced to empower users to seamlessly inquire about and purchase products in their regional language. Leveraging Machine Learning, it swiftly achieved this while adhering to customer standards and efficiently handling exceptions.
Employed intent recognition and entity extraction to collect necessary information swiftly and validate it in real-time against the customer’s backend systems.
Facilitated purchases of multiple products within a single conversation flow, eliminating repetitive inquiries.
Leveraged natural language processing to understand user intent based on previous utterances, ensuring a flexible and engaging conversation.
Integrated Thai language support, catering to a broader user base and bridging language barriers.
Incorporated machine learning algorithms to anticipate and manage diverse exceptions, offering a smooth user experience.
75% reduction in product purchase time for customers.
Increased revenue and enabled upselling
Allowed customers to modify previous choices in the flow.
Offered faster and more convenient payment options, leading to smoother purchases.
The platform can be accessed through multiple communication channels, including the web and LINE app.
