Live since 10 August 2026As Product Analyst
I went through about 10,000 chats before I built the bot.
- My part
- Research, workflow design, build
- Built on
- LimeChat, a WhatsApp chatbot platform
- Result
- Tickets down 65%
The question
Customers message us on WhatsApp about orders, products and their health. I wanted to know which of those questions a bot could finish on its own, and when a person had to take over.
What I did
I went through about 10,000 conversations in total and sorted them by what the customer wanted. Then I designed the workflow and built it on LimeChat.
The result
Since 10 August 2026, ticket volume is down 65% compared with before the bot went live. 80 to 90% of queries are resolved without an agent.
The next version, as Associate Product Manager
I went back to the contact data. 49% of chats were about orders, 31% were product questions and 24% were about consultations and health.
Some chats cover more than one, so these add up to more than 100%.
What I decided for it
- Route each chat by what the customer wants.
- Answer order status from real shipment data.
- Give a product question one clarifying question before it goes to an agent.