WhatsApp customer service automation is what separates a chatbot from a service agent. An AI agent classifies the request — order status, return, payment, warranty, complaint, or sales question — retrieves CRM, ticket, order, shipment, and inventory context, and either resolves the request inside policy or escalates with full transcript and reason.
Most WhatsApp support stalls at the same place. Customers ask the same questions; agents hunt the same systems; and the answer that finally arrives misses the order or shipment context that would have closed the case in one message.
A real WhatsApp service workflow does three things. Understand the request by intent, not by keyword. Retrieve the operational context — order, payment, inventory, account history — before responding. Resolve or escalate using an approved action list and a clean ticket handoff.
Guardrails are part of the channel. WhatsApp template and opt-in policy must be respected. Complaints, refunds, and high-risk requests transfer to a person. The approved action list by intent prevents the agent from acting outside its scope.
Soberan runs WhatsApp service inside the contact-center layer so the conversation, ticket, and ERP action live in one workflow across Zendesk, Intercom, HubSpot, NetSuite, and Shopify. When evaluating vendors, ask for the real ERP actions the agent can take — not the canned response menu.