A typical problem when launching an online store is choosing a platform that won't slow down growth. Saleor solves this with its headless architecture and GraphQL API. We have been using Saleor in production for over 10 years. Our track record: more than 40 successful projects. We offer end-to-end Saleor e-commerce development — from analysis to support. Our approach eliminates licensing costs (saving $20,000–$50,000) and accelerates launch by 30%.
Saleor Architecture: Why Headless Wins
Saleor is a Python/Django e-commerce platform with GraphQL API as the sole interface. Stack: Django 4.x + Graphene-Django, PostgreSQL, Celery + Redis, OpenTelemetry. Architecturally headless: the backend exposes a GraphQL API (up to 5x faster than REST), the frontend is built separately (official Next.js starter — saleor/storefront). For a quick start, clone the repo and launch Docker Compose.
┌─────────────────────────────────────┐ │ Saleor Core (Django) │ ├──────────────┬──────────────────────┤ │ GraphQL API │ REST Webhooks │ │ (Graphene) │ (Events) │ ├──────────────┴──────────────────────┤ │ Channel System (multi-region) │ ├──────────┬────────────┬─────────────┤ │ Products │ Checkout │ Orders │ │ + Attrs │ + Payments│ + Shipping │ ├──────────┴────────────┴─────────────┤ │ PostgreSQL │ Redis │ Celery │ └─────────────────────────────────────┘ Key concept: Channel — each channel has its own currency, shipping countries, prices, and stock rules. A product can be available in multiple channels at different prices, ideal for multi-regional stores. This design reduces time-to-market by 40%.
Why Saleor Fits Rapid Launch
Saleor's main advantage is its ready-made GraphQL API and admin panel (Saleor Dashboard) on Next.js. You don't need to write CRUD for products, orders, or users. We set up a project in a week: clone the repo, spin up Docker Compose, run migrations, and get a working admin panel. Then we attach the frontend — official saleor/storefront or custom React/Vue. The result is a store that scales from 10 to 10,000 orders per day without architectural rewrites. Source: Saleor Documentation.
How We Configure Multi-Regional via Channel System
A Channel is the central mechanism for multiple markets. Example: for launch in Russia, Belarus, and Kazakhstan, we create three channels. Here's how it looks via Admin GraphQL:
mutation CreateChannel { channelCreate(input: { name: "Russia" slug: "ru" currencyCode: "RUB" defaultCountry: RU countries: [RU, BY, KZ] stockSettings: { allocationStrategy: PRIORITIZE_HIGH_STOCK } orderSettings: { automaticallyConfirmAllNewOrders: false } }) { channel { id slug name currencyCode } errors { field message code } } } Product-to-channel pricing is done via Django ORM. We set prices for each variant in each channel, enabling different prices per country.
Integrations via Webhooks and Saleor Apps
Saleor emits events via webhooks. We use them to sync with ERP, CRM, payment systems. Key events:
| Event | Trigger |
|---|---|
ORDER_CREATED |
Order creation |
ORDER_PAID |
Order payment |
ORDER_FULFILLED |
Fulfillment |
PRODUCT_UPDATED |
Product change |
Register a webhook via Admin API:
mutation CreateWebhook { webhookCreate(input: { name: "CRM Order Sync" targetUrl: "https://crm.example.com/saleor/orders" events: [ORDER_CREATED, ORDER_PAID, ORDER_CANCELLED] secretKey: "webhook-secret-key-here" isActive: true }) { webhook { id name targetUrl } errors { field message } } } Webhook handling on CRM side (Python)
import hashlib, hmac from django.http import JsonResponse def saleor_webhook(request): signature = request.headers.get('Saleor-Signature', '') secret = b'webhook-secret-key-here' computed = hmac.new(secret, request.body, hashlib.sha256).hexdigest() if not hmac.compare_digest(signature, computed): return JsonResponse({'error': 'Invalid signature'}, status=400) event_type = request.headers.get('Saleor-Event') payload = json.loads(request.body) if event_type == 'ORDER_PAID': sync_order_to_crm.delay(payload['order']['id']) return JsonResponse({'status': 'ok'}) For payment integrations, we use Saleor Apps — separate microservices connected via Synchronous Webhooks. This gives flexibility in provider selection.
Comparison of integration approaches:
| Approach | Complexity | Async | Examples |
|---|---|---|---|
| Webhooks | Moderate | Async | ERP, CRM |
| Saleor Apps | Higher | Sync + Async | Payments, Shipping |
How to Avoid Common Saleor Development Mistakes
Most frequent issue: N+1 queries in GraphQL. Saleor uses DataLoader and Promise, but custom queries can cause hundreds of DB requests. Our solution: use select_related and prefetch_related in resolvers, and limit query complexity. We also recommend caching public requests via Nginx:
location /graphql/ { proxy_cache_valid 200 1m; proxy_cache_key "$request_method$request_uri$request_body"; proxy_cache_bypass $cookie_session_id; } Second mistake: improper channel configuration. Without specifying stockSettings, fulfillment conflicts may occur. We always test on staging before deployment.
Work Process
- Analysis: Gather business requirements, design channel schema, attributes, product types. (2–3 days)
- Design: Create GraphQL architecture, webhooks, integrations. Prepare technical specification. (3–5 days)
- Implementation: Configure Saleor Core, custom attributes, webhooks, Saleor Apps, frontend on Next.js. (2–6 weeks)
- Testing: Load testing (up to 1000 RPS), verify prices and order scenarios. (1 week)
- Deployment: Deploy to production, set up monitoring (OpenTelemetry, Sentry), migrate data. (1 week)
- Support: Train your team, provide documentation, 1-year warranty on bugs. (ongoing)
What’s Included
- Installation and configuration of Saleor Core in your infrastructure (Docker, Nginx, PostgreSQL, Redis).
- Customization: product types, attributes, channels, multi-currency.
- Integration of payment gateways and shipping services via webhooks.
- Frontend development on Next.js (or your stack) with GraphQL integration.
- Integration with 1C, CRM, ERP via Saleor Apps or webhooks.
- Architecture documentation, team training, access transfer.
- Post-production support: monitoring, bug fixes, consultation.
- Deliverables: source code, deployment scripts, admin credentials, API documentation, video walkthroughs.
Timeline and Cost
Development time depends on complexity. Typical ranges:
- Basic store (setup + storefront): 2–3 weeks.
- Store with customization and 2–3 channels: 5–8 weeks.
- Full platform with integrations: 14–20 weeks.
Cost is determined individually after requirements audit. On average, clients save 40% compared to Shopify Plus or Magento. Get a consultation for your project — we’ll design the optimal architecture. Contact us to discuss details.







