AI-Powered WhatsApp Customer Support for Shopify Brands with LLM Agents

🚀 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.

Use cases

"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

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

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

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

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

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.

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

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.