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AI Agent & AutomationTechnical Brief

Automated WhatsApp Field Dispatch & Support Agent

24/7 conversational workflow triage connected to field ticketing and logistics.

Technologies Deployed
Node.jsMeta Cloud APIFastAPISQLite / PostgreSQLTailwind CSS

01. Context & Operational Problem

Client Context: Nonprofit organization coordinating humanitarian distribution and field reports.

Specific Challenge: Field volunteers relied on chaotic chat groups to report supplies and logistics, causing coordinators to miss urgent field requests and miscalculate delivery schedules.

02. Engineering Architecture & Pipeline

Constructed a stateful WhatsApp automation agent integrated with Meta Cloud API, natural language intent parser, and direct database logging for logistics dispatch.

Step-by-Step Data Flow

  1. Meta Cloud API webhook listener
  2. Conversation state manager with session timeout handling
  3. Function-calling LLM agent for field ticket creation
  4. Automated confirmation dispatch to operational teams
  5. Admin dashboard with real-time incident mapping

03. Measured Production Outcomes

  • ✔Real-time ticket logging from informal natural language chat messages
  • ✔Eliminated coordinator manual copy-pasting from chat groups
  • ✔24/7 uptime during critical seasonal distribution drives

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