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Online Store Engineering

E-Commerce Development

Custom online store development with fast catalog browsing, a checkout built to convert, multi-currency support and clean back-office integration.

  • Next.js
  • Laravel
  • PostgreSQL
  • Stripe and local payment gateways
  • Google Merchant Center

In short

What is E-Commerce Development? We build and rebuild online stores where catalog performance, checkout reliability and back-office integration are treated as engineering problems, not settings.

What can you expect from this work?

  • Category and product pages that load fast on mobile
  • A checkout with fewer abandonment points and clearer costs
  • Stock and price accuracy through automated integration
  • Accurate e-commerce tracking feeding both analytics and ad platforms

Overview

E-commerce development is the engineering work of building an online store: the catalog data model, the storefront, the checkout, the integrations with back-office systems, and the measurement layer that ad platforms depend on. It is a different discipline from corporate website development, because a store is a transactional application with inventory, money and operational consequences when something fails quietly.

Moon Workshop builds and rebuilds online stores from Antalya, Türkiye, for businesses selling domestically and into markets including Germany, the United Kingdom, the Netherlands and the United States.

Hosted platform or custom build?

This is the first decision and it deserves an honest answer rather than a sales one.

Situation Recommendation
Standard products, standard checkout, small team Hosted platform
Complex variants, configurable products, rule-based pricing Custom or headless build
Heavy ERP, stock or B2B pricing integration Custom build
Multi-market with genuinely different logic per market Headless with market-level configuration
Growth blocked by platform limitations you can name specifically Custom build
Growth is slow but the platform is not the reason Fix marketing and conversion first

The last row matters. Replatforming is frequently proposed as a solution to a conversion problem it will not fix. If the store converts at 0.5 percent because product pages lack information and shipping costs surprise people at checkout, a new platform changes nothing.

The catalog data model sets the ceiling

Most store problems that surface years later trace back to catalog modeling done hastily at the start.

We model explicitly:

  • Products and variants, including which attributes create variants and which are informational
  • Attributes and their types, so filtering works without string matching
  • Category structure, separating navigation hierarchy from merchandising collections
  • Pricing rules — customer groups, quantity breaks, market-specific prices, campaign pricing
  • Stock sources, including multiple warehouses or supplier-fulfilled items
  • Feed requirements, so Merchant Center and catalog fields exist as real data rather than being derived by fragile scripts

A catalog modeled correctly supports faceted filtering, on-site search and advertising feeds without workarounds. A catalog modeled hastily requires a workaround for each.

Performance on category pages

Category pages with filtering are usually the heaviest pages on a store and the most commonly landed on from advertising. We treat their performance as a hard budget:

  1. Server-side rendering or static generation for the initial view
  2. Filter and facet queries served from indexed structures, not full table scans
  3. Images sized per breakpoint in modern formats
  4. Pagination or incremental loading rather than rendering hundreds of products at once
  5. Search backed by a proper index when the catalog size justifies it

Checkout: where revenue actually leaks

Checkout is short, boring and responsible for a large share of lost revenue. Our principles:

  • Guest checkout available. Forcing account creation costs orders.
  • Shipping cost visible early, never revealed as a surprise on the final step.
  • Minimum viable fields. Every optional field removed is a small conversion gain.
  • Multiple payment methods, including the ones people in each target market actually use.
  • Real error handling. Declined payments, expired sessions and validation failures must explain what happened and preserve the cart.
  • Mobile-first input. Correct keyboard types, autofill support, tap targets sized properly.
  • Instrumentation. Every step tracked so abandonment points are visible in data rather than guessed at.

We test checkout with live payment methods before launch, including failure paths. A checkout that works only on the happy path is not finished.

Integrations built to fail loudly

Silent integration failures are the most expensive bugs in e-commerce. Stock stops syncing on a Friday, oversold orders accumulate through the weekend, and nobody knows until customer service is overwhelmed.

Every integration we build includes retry logic with backoff, an audit log of what synced and when, alerting when a sync has not completed within its expected window, and a manual re-run path for operators. Typical integrations cover ERP or accounting systems, shipping carriers, payment gateways, invoicing, and marketing feeds.

Measurement built in, not bolted on

The e-commerce data layer is part of the build, not a task for the marketing agency afterward. We implement view_item, add_to_cart, begin_checkout, purchase and refund events with correct values, variants and currency, plus server-side event delivery where browser restrictions distort the picture.

Product feeds for Google Merchant Center and Meta catalogs are generated from the catalog model with the attributes those platforms require, including custom labels for margin tiers and stock depth.

Multi-market stores

Selling into several countries means modeling market differences rather than converting prices at display time. We handle per-market pricing, VAT and duty presentation, shipping options and delivery estimates, payment method availability, language content, and returns policy text. Inaccurate totals at checkout are among the largest causes of cart abandonment in cross-border retail, and they are entirely preventable.

How projects run

Work is delivered in slices — catalog, product detail, cart and checkout, integrations — each demonstrated on staging as it completes. You see progress continuously rather than at a single reveal. After launch there is a defined stabilization window with error monitoring and funnel verification, followed by an agreed maintenance scope. You own the code and the infrastructure accounts.

Last updated: August 2026.

Scope

What we deliver

The concrete outputs inside this service. Every item appears as a line in the proposal.

Catalog and data model

Product, variant, attribute and category modeling that supports filtering, search and feed generation without workarounds.

Storefront build

Fast category and product pages, faceted filtering, on-site search and a mobile experience designed for one-handed use.

Checkout implementation

Short, resilient checkout with guest option, multiple payment methods, clear shipping cost display and proper error handling.

Integrations

ERP or accounting sync, stock and price feeds, shipping carrier integration, invoicing and payment gateway connections.

Measurement and feed layer

GA4 e-commerce data layer, server-side events where needed, and product feeds for Google Merchant Center and Meta catalogs.

Operations tooling

Order management views, bulk product editing, discount and campaign tools built around how your team actually works.

Process

How we proceed

The steps are fixed; duration and depth change with the scope of the work.

  1. Step 1

    Requirements and catalog audit

    We map product structure, variant logic, pricing rules, stock sources and every system the store must exchange data with.

  2. Step 2

    Architecture

    Platform decision, data model, integration design and performance budget agreed before implementation begins.

  3. Step 3

    Build in slices

    Catalog, then product detail, then cart and checkout, then integrations, each demonstrated on staging as it completes.

  4. Step 4

    Data migration and testing

    Product, customer and order migration, redirect mapping, payment testing in live conditions and load testing on category pages.

  5. Step 5

    Launch and stabilization

    Monitored launch, error tracking, conversion funnel verification and a defined post-launch support window.

FAQ

Frequently asked questions

The topics clients ask about most before a proposal.

Should we use a hosted platform or a custom build?
Hosted platforms are the right answer for many stores: lower cost, faster launch, maintained infrastructure. A custom build makes sense when product or pricing logic does not fit the platform's model, when integrations are complex, or when platform constraints are actively limiting revenue. We will tell you honestly which situation you are in.
Can you rebuild an existing store without losing orders or SEO?
Yes. Product, customer and order data are migrated with validation at each step, and URL structure is mapped to redirects before launch. We usually run the new store on staging with production data for a period so the team can verify the catalog and checkout before switching over.
How do you handle multiple currencies and markets?
Currency, pricing rules, tax treatment and shipping options are modeled per market rather than converted at display time. This matters because rounding, VAT presentation and duty handling differ, and inaccurate totals at checkout are a major cause of abandonment.
What integrations do you typically build?
The common set is ERP or accounting sync for products, stock and invoices, shipping carrier integration for labels and tracking, payment gateway connections, and marketing feeds for Google and Meta. Each integration is built with retry handling and monitoring, because a silent sync failure costs money before anyone notices.
Do you also run the advertising for the store?
We can. Moon Workshop provides e-commerce consulting and campaign management alongside development, which means the tracking layer and product feeds are built correctly the first time rather than patched afterward.
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