WhatsApp Product Recommendation Agent for Local Service Businesses

Local service businesses often deal with missed calls, booking delays, qualification, and follow-up. A WhatsApp product recommendations agent gives the owner, front-office manager, or service coordinator a way to answer or route that work consistently, especially when buyers abandon when product choice feels too broad or unclear.

• Use service area, availability, intake questions, pricing rules, and appointment history instead of isolated chatbot knowledge.
• Fit the answer to WhatsApp Business conversations and Cloud API message flows.
• Escalate with catalog freshness checks and explicit uncertainty when product data is missing.

The first version should focus on a narrow loop: ask preference questions, narrow options, explain tradeoffs, and save the shortlist. 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.