Belcorp · 2023–2024
WhatsApp Shopping Chatbot
I designed the conversational flow that enabled a new WhatsApp pre-order channel for customers and consultants.
+15% conversion rate. Higher than previous digital tools.
Screens of a simulated chat between a customer and the WhatsApp Shopping Chatbot.
Context
Belcorp's beauty consultants often have limited resources: low-end phones, restricted connectivity and little appetite for using apps. Their organic way of selling was sharing catalog PDFs over WhatsApp; their customers took screenshots, drew circles around what they wanted and sent the photo back. It worked, but the company lost demand data, the PDFs ate up the consultants' mobile data, and there was no way to scale commercial offers without more digitalization.
Research
2
focus groups with 10+ consultants.
12
field studies to validate the experience in real-world contexts.
9
virtual interviews to gather perceptions of the MVP.
Solution
We brought the catalog to the channel they already used: WhatsApp Business's native eCommerce system, linked to each consultant's code.
Pre-orders were documented automatically, replacing screenshots with hand-drawn circles.
Conversational design adapted to Meta's technical constraints, with constant alignment with their support team.
Full flow mapped in FigJam: copy, conditionals, branches and criteria for development.