WhatsApp FAQ Automation Agent for Fashion Stores

Fashion stores often deal with size, fit, returns, seasonal drops, and shopper confidence. A WhatsApp FAQ automation agent gives the founder, ecommerce manager, or CX lead a way to answer or route that work consistently, especially when teams keep rewriting the same answers in every channel.

• Use catalog variants, sizing notes, returns policy, inventory, and order history instead of isolated chatbot knowledge.
• Fit the answer to WhatsApp Business conversations and Cloud API message flows.
• Escalate with source citation rules and fallback to humans when confidence is low.

The first version should focus on a narrow loop: retrieve the right source, answer concisely, and flag missing knowledge. That is enough to prove value without asking the team to trust an agent with every edge case on day one.

• Classify the request before selecting tools or workflows
• Answer from approved sources when confidence is high
• Create a follow-up task or handoff when the request needs judgment

Zeiko is strongest when the agent must connect a customer or operator conversation to real execution. The same workspace can manage memory, tools, workflow bindings, approvals, and channel delivery, so the WhatsApp agent is part of the operating system instead of a disconnected widget.