1. Commodity recommendation #
Case: The buyer hopes to receive recommendations on ribbons for a little girl. The robot gives suggestions and supports click to transfer to detailed page of commodity.
Q：Recommend a ribbon suitable for a little girl
Buyer consultancy page (ask a question➡️get recommended contents➡️check recommended commodities and sales pitches➡️jump to commodity details➡️continue conversation）
2.General knowledge response #
Case: Consult the product changing or refunding information, provide operation guidance and introduce the data which should be provided by the buyer.
3.Chat reception + question clarification #
Case: With professional expression of service attitude, guide the customer to ask questions, shield some invalid questions from customer, and make customer service specialist focus on solving the complex problems
4.Customer service risk control: Auto switching to staff service in case of customer anger or complaint + unable to answer question #
Case: Auto switching to staff services (the script of switching can be set by enterprise) when customer expresses complaints and is impatient
User end page (express complaint and impatience➡️staff service)
5.Multi-language response #
Case: The language of knowledge base maintenance is Thai language, while the customer can receive direct response when asking questions in English.