Odoo Shopify Integration

Odoo ↔ Shopify Integration

Overview

This skill guides you through integrating Odoo with Shopify — syncing your product catalog, real-time inventory levels, incoming orders, and customer data. It covers both using the official Odoo Shopify connector (Enterprise) and building a custom integration via Shopify REST + Odoo XMLRPC APIs.

When to Use This Skill

• Selling on Shopify while managing inventory in Odoo.
• Automatically creating Odoo sales orders from Shopify purchases.
• Keeping Odoo stock levels in sync with Shopify product availability.
• Mapping Shopify product variants to Odoo product templates.

How It Works

1. Activate: Mention @odoo-shopify-integration and describe your sync scenario.
2. Design: Receive the data flow architecture and field mapping.
3. Build: Get code snippets for the Shopify webhook receiver and Odoo API caller.

Data Flow Architecture

SHOPIFY                          ODOO
--------                         ----
Product Catalog <──────sync──────  Product Templates + Variants
Inventory Level <──────sync──────  Stock Quants (real-time)
New Order       ───────push──────> Sale Order (auto-confirmed)
Customer        ───────push──────> res.partner (created if new)
Fulfillment     <──────push──────  Delivery Order validated

Examples

Example 1: Push an Odoo Sale Order for a Shopify Order (Python)

import xmlrpc.client, requests

# Odoo connection
odoo_url = "https://myodoo.example.com"
db, uid, pwd = "my_db", 2, "api_key"
models = xmlrpc.client.ServerProxy(f"{odoo_url}/xmlrpc/2/object")

def create_odoo_order_from_shopify(shopify_order):
    # Find or create customer
    partner = models.execute_kw(db, uid, pwd, 'res.partner', 'search_read',
        [[['email', '=', shopify_order['customer']['email']]]],
        {'fields': ['id'], 'limit': 1}
    )
    partner_id = partner[0]['id'] if partner else models.execute_kw(
        db, uid, pwd, 'res.partner', 'create', [{
            'name': shopify_order['customer']['first_name'] + ' ' + shopify_order['customer']['last_name'],
            'email': shopify_order['customer']['email'],
        }]
    )

    # Create Sale Order
    order_id = models.execute_kw(db, uid, pwd, 'sale.order', 'create', [{
        'partner_id': partner_id,
        'client_order_ref': f"Shopify #{shopify_order['order_number']}",
        'order_line': [(0, 0, {
            'product_id': get_odoo_product_id(line['sku']),
            'product_uom_qty': line['quantity'],
            'price_unit': float(line['price']),
        }) for line in shopify_order['line_items']],
    }])
    return order_id

def get_odoo_product_id(sku):
    result = models.execute_kw(db, uid, pwd, 'product.product', 'search_read',
        [[['default_code', '=', sku]]], {'fields': ['id'], 'limit': 1})
    return result[0]['id'] if result else False

Example 2: Shopify Webhook for Real-Time Orders

from flask import Flask, request
app = Flask(__name__)

@app.route('/webhook/shopify/orders', methods=['POST'])
def shopify_order_webhook():
    shopify_order = request.json
    order_id = create_odoo_order_from_shopify(shopify_order)
    return {"odoo_order_id": order_id}, 200

Best Practices

• ✅ Do: Use Shopify's webhook system for real-time order sync instead of polling.
• ✅ Do: Match products using SKU / Internal Reference as the unique key between both systems.
• ✅ Do: Validate Shopify webhook HMAC signatures before processing any payload.
• ❌ Don't: Sync inventory from both systems simultaneously without a "master system" — pick one as the source of truth.
• ❌ Don't: Use Shopify product IDs as the key — use SKUs which are stable across platforms.

AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Retrieve prior API design decisions, database schema choices, and error handling patterns. Cache API response templates for consistent error formatting.

# Check for prior backend/API context before starting
python3 execution/memory_manager.py auto --query "API design patterns and architecture decisions for Odoo Shopify Integration"

Storing Results

After completing work, store backend/API decisions for future sessions:

python3 execution/memory_manager.py store \
  --content "API architecture: REST with HATEOAS, JWT auth, rate limiting at 100 req/min per tenant" \
  --type decision --project <project> \
  --tags odoo-shopify-integration backend

Multi-Agent Collaboration

Share API contract changes with frontend agents so they update their client code, and with QA agents for test coverage.

python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Implemented API endpoints — 5 new routes with OpenAPI spec and integration tests" \
  --project <project>

Agent Team: Code Review

After implementation, dispatch code_review_team for two-stage review (spec compliance + code quality) before merging.