🚀 AI-Powered WhatsApp Customer Support for Shopify Brands

This n8n template builds a WhatsApp support copilot that answers order
status and product availability from Shopify using LLM "agents,"
then replies to the customer in WhatsApp or routes to human support.

Where this workflow fits

• "Where is my order?" → live status + tracking link
• "What are your best-selling T-shirts?" → in-stock sizes & variants
• Greetings / small talk → welcome message
• Anything unclear → handoff to support channel

Good to know

• WhatsApp Business conversations are billed by Meta/Twilio/Exotel;
  plan accordingly.
• Shopify Admin API has rate limits (leaky bucket) --- stagger
  requests.
• LLM usage incurs token costs; cap max tokens and enable caching
  where possible.
• Avoid sending PII to the model; only pass minimal order/product
  fields.

How it works

1. WhatsApp Trigger
   Receives an incoming message (e.g., "Where is my order?").

2. Get Customer from Shopify → Customer Details → Normalize Input
   Looks up the customer by phone, formats the query (lower-case, emoji
   & punctuation normalization).

3. Switch (intent router)
   Classifies into welcome, orderStatusQuery, productQuery, or
   supportQuery.

4. Welcome path
   Welcome message → polite greeting → (noop placeholder).

5. Order status path (Orders Agent)

   • Orders Agent (LLM + Memory) interprets the user request and
     extracts needed fields.
   • Get Customer Orders (HTTP to Shopify) fetches the user's
     latest order(s).
   • Structured Output Parser cleans the agent's output into a
     strict schema.
   • Send Order Status (WhatsApp message) returns status, ETA,
     and tracking link.

6. Products path (Products Agent)

   • Products Agent (LLM + Memory) turns the ask into a product
     query.
   • Get Products from Shopify (HTTP) pulls best sellers /
     inventory & sizes.
   • Structured Output Parser formats name, price, sizes, stock.
   • Send Products message (WhatsApp) sends a tidy,
     human-readable reply

7. Support path
   Send a message to support posts the transcript/context to your
   agent/helpdesk channel and informs the user a human will respond

How to use

• Replace the manual/WhatsApp trigger with your live WhatsApp
  number/webhook.
• Set env vars/credentials: Shopify domain + Admin API token, WhatsApp
  provider keys, LLM key (OpenAI/OpenRouter), and (optionally) your
  support channel webhook.
• Edit message templates for tone, add your brand name, and localize
  if needed.
• Test with samples: "Where is my order?", "Show best sellers", "Hi".

Requirements

• WhatsApp Business API (Meta/Twilio/Exotel)
• Shopify store + Admin API access
• LLM provider (OpenAI/OpenRouter etc.)
• Slack webhook for human handoff

Prerequisites

• Active WhatsApp Business Account connected via API provider
  (Meta, Twilio, or Exotel).
• Shopify Admin API credentials (API key, secret, store domain).
• Slack OAuth app or webhook for human support escalation.
• API key for your LLM provider (OpenAI, OpenRouter, etc.).

Customising this workflow

• Add intents: returns/exchanges, COD confirmation, address changes.
• Enrich product replies with images, price ranges, and "Buy" deep
  links.
• Add multilingual support by detecting locale and templating
  responses.
• Log all interactions to a DB/Sheet for analytics and quality
  review.
• Guardrails: confidence thresholds → fallback to support; redact PII;
  retry on API errors.