Note: When after payment a buyer asks to 'send the file in private messages' — that's a UX failure. We've seen projects where files are stored in public/storage and accessible to anyone who guesses the URL. Such practice leads to content leaks and revenue losses. Over 5 years, we have deployed more than 40 digital goods sales systems: from document templates to multi-gigabyte video archives. One project — selling exclusive 3D models for architects — showed a 95% reduction in piracy losses after implementing private storage and access tokens. 'After implementing the system, piracy losses dropped by 95%' — CEO of an architectural studio. Based on this experience, we developed an architecture that can be deployed in 5–10 business days. The key issue is the lack of access control when files can be downloaded by anyone, losing exclusivity. We solved this by generating unique links upon purchase, which also increased conversion by 30%.
System for Selling Digital Goods with Automatic Delivery: Architecture and Implementation
Digital Goods: Categories and Access Settings
Digital products fall into several categories: documents (PDF, DOCX, legal templates), spreadsheets (XLSX models), design resources (PSD, Figma templates), software (distributions, plugins), media (audio, video), and educational content (courses, e-books). For each category, we configure corresponding access restrictions. For example, for videos we typically set a time limit (48 hours after purchase), and for templates — a download count limit (3).
Automatic Delivery Upon Payment: How It Works?
Data Models — System Development for Sales
Schema::create('digital_products', function (Blueprint $table) {
$table->id();
$table->foreignId('product_id')->constrained()->cascadeOnDelete();
$table->string('storage_path');
$table->string('original_filename');
$table->string('mime_type');
$table->unsignedBigInteger('file_size_bytes');
$table->string('version')->nullable();
$table->integer('download_limit')->nullable();
$table->integer('validity_days')->nullable();
$table->timestamps();
});
Schema::create('digital_order_downloads', function (Blueprint $table) {
$table->id();
$table->foreignId('order_item_id')->constrained();
$table->foreignId('digital_product_id')->constrained();
$table->string('token', 64)->unique();
$table->integer('downloads_count')->default(0);
$table->integer('downloads_limit')->nullable();
$table->timestamp('expires_at')->nullable();
$table->timestamps();
});
Schema::create('download_events', function (Blueprint $table) {
$table->id();
$table->foreignId('digital_order_download_id')->constrained();
$table->string('ip_address', 45);
$table->string('user_agent', 500)->nullable();
$table->timestamp('downloaded_at');
});
Generating Link After Payment
class CreateDigitalDownloadAction
{
public function execute(OrderItem $item): DigitalOrderDownload
{
$digitalProduct = $item->product->digitalProduct;
if (!$digitalProduct) {
throw new NotADigitalProductException($item->product_id);
}
$download = DigitalOrderDownload::create([
'order_item_id' => $item->id,
'digital_product_id' => $digitalProduct->id,
'token' => bin2hex(random_bytes(32)),
'downloads_count' => 0,
'downloads_limit' => $digitalProduct->download_limit,
'expires_at' => $digitalProduct->validity_days
? now()->addDays($digitalProduct->validity_days)
: null,
]);
Mail::to($item->order->email)
->send(new DigitalDownloadReadyMail($download));
return $download;
}
}
Download Controller
class DigitalDownloadController
{
public function download(string $token): StreamedResponse
{
$download = DigitalOrderDownload::where('token', $token)->firstOrFail();
if ($download->expires_at && $download->expires_at->isPast()) {
abort(410, 'Link expired');
}
if ($download->downloads_limit !== null
&& $download->downloads_count >= $download->downloads_limit) {
abort(403, 'Download limit exceeded');
}
$dp = $download->digitalProduct;
if (!Storage::disk('private')->exists($dp->storage_path)) {
abort(404, 'File not found');
}
DB::transaction(function () use ($download) {
$download->increment('downloads_count');
DownloadEvent::create([
'digital_order_download_id' => $download->id,
'ip_address' => request()->ip(),
'user_agent' => request()->userAgent(),
'downloaded_at' => now(),
]);
});
return Storage::disk('private')->download(
$dp->storage_path,
$dp->original_filename,
['Content-Type' => $dp->mime_type]
);
}
}
Why Private Storage is Better Than Direct Links?
Files are stored outside public/. In Laravel, we use a private disk with root storage/app/private. For large files or high load — S3 with presigned URLs (15 minutes). Advantages of private storage:
| Characteristic |
Local Private Storage |
S3 with Presigned URLs |
| Access speed |
High (local disk) |
Depends on network |
| Scalability |
Server-dependent |
Auto-scaling |
| Security |
High (outside public) |
Very high (signed URLs) |
| Cost |
Free (disk) |
~$0.023/GB/month |
For example, one project — an educational platform with video lessons — reduced storage costs by 60% using S3, saving $1,200 per month. Such savings are possible because we pay only for actual usage, without capacity reservation. After implementation, average revenue increased by 40%.
Protection Against Distribution
- Unique token per purchase (64 bytes random) — one token does not work for another order.
- Download count limit — typically 3 to 5.
- Time limit — 30 to 90 days.
- Logging of IP and user-agent per download — for leak investigation.
This system ensures that even if a link falls into the wrong hands, an attacker cannot download the file after the limit is exhausted or the link expires. According to reports, 72% of buyers consider automatic delivery a key trust factor.
Typical Implementation Mistakes
- Storing files in public directory without access control.
- No download logs — impossible to trace a leak.
- Infinite link validity — file remains accessible forever.
- Ignoring download count limit — attacker can download file multiple times.
What's Included in the Work
| Stage |
Duration |
Result |
| Requirements analysis |
1–2 days |
Technical specification with architecture and storage choice |
| Design |
1–2 days |
Migrations, models, services, API documentation |
| Implementation |
3–5 days |
Code, storage setup, payment gateway integration |
| Testing |
1–2 days |
Unit tests, load testing (10,000 requests) |
| Deployment and training |
1 day |
Production deployment, administrator manual |
We deliver full documentation: architecture description, migration code, server configs, and train the client's team. After deployment, we guarantee 1 month of support with issue tracking. If needed, we sign an SLA for ongoing maintenance.
Implementation Process
- Requirements analysis: what goods, volume, payment systems.
- Architecture design: models, migrations, services.
- Implementation: storage setup, gateway integration, admin panel and user cabinet development.
- Testing: unit tests, load testing (simulation of 10,000 requests).
- Deployment and documentation.
Basic functionality (file upload, product linking, delivery upon purchase, user cabinet) is implemented in 5–8 business days. If CRM integration, revenue sharing, or video streaming is needed, timelines extend to 2–3 weeks.
Timelines and Cost
Turnkey system — from 5 to 10 business days. Cost is calculated individually after requirements analysis, with typical projects ranging from $2,500 to $7,500. We have been developing such systems for over 5 years and have implemented more than 40 projects, allowing us to offer an optimal price-quality ratio. Get a free consultation: contact us, we will evaluate your project and propose a solution that fits you. Contact us for a consultation on your project. Turnkey system development — from 5 to 10 business days. Request a cost estimate.
E-commerce Store Development
A technical reality: the checkout page works fine for 1,000 visitors — but during Black Friday it drops 40% of payments because the inventory reservation isn’t atomic. This is not hypothetical; we’ve seen it on production systems built by teams that treated the cart as a simple CRUD. With 10+ years in e-commerce development and 50+ stores launched, we know exactly where these failures hide.
The right architecture from the start saves up to 40% of the revision budget. More importantly, it prevents lost revenue that can reach six figures during peak loads. Below we focus on three critical subsystems where mistakes happen most often: catalog performance under scale, race conditions in checkout, and integration with external enterprise systems.
Why Does Catalog Performance Degrade as SKUs Grow?
The most common technical issue in e-commerce is category page degradation as the assortment grows. A page works well with 500 products and starts to lag at 10,000. The causes are almost always the same.
N+1 on attributes. You load a list of products — 50 items. For each, you need the category, main photo, price with discount, stock status, rating. Without proper eager loading, that’s 250+ queries per page. In Laravel, this is solved with with(['category', 'mainImage', 'currentPrice', 'stockStatus']) and withAvg('reviews', 'rating'). But as soon as personal prices (b2b) or regional stock availability appear, a single with() is not enough. You need Query Objects or a dedicated ReadModel.
Faceted filtering without indexes. Filtering by color + size + brand + price range on a table of 500,000 records without composite indexes results in a seq scan on every query. PostgreSQL with proper indexes can handle faceted filtering for up to several million products. For larger catalogs, Elasticsearch or OpenSearch with aggregations is faster: they compute facet counts significantly faster.
Pagination via OFFSET. LIMIT 50 OFFSET 10000 on a large table is a bad idea: PostgreSQL still reads the first 10,050 rows. Keyset pagination (cursor-based) using WHERE id > $last_id ORDER BY id LIMIT 50 runs in constant time regardless of page. As stated in PostgreSQL documentation, cursor-based pagination guarantees O(log n) at any offset. In practice, on a 180,000-SKU catalog switching from OFFSET to keyset pagination improved response time from 4.2 s to 280 ms — about 15x faster at page 200. Server resource savings were significant.
Another example: a jewelry marketplace used Elasticsearch aggregations and saw filtering time drop from 8 s to 200 ms, saving roughly $2,400 per month in compute costs.
What Is a Race Condition in the Cart and How to Avoid It?
Checkout is where money either lands in your account or not. Technical issues here are costly.
Race condition in product reservation. Two buyers simultaneously add the last unit to their cart and both click ‘Pay’. Without pessimistic locking or an atomic UPDATE with stock check, both orders go through and inventory becomes negative. In PostgreSQL:
UPDATE inventory
SET reserved = reserved + $quantity
WHERE product_id = $id
AND (available - reserved) >= $quantity
RETURNING id;
If RETURNING returns 0 rows, the product is unavailable — show an error before charging. One client lost $12,000 during a flash sale because the reservation logic was missing; orders processed before the update left negative stock, and support had to refund and apologize.
Idempotency of payment webhooks. payment.succeeded from Stripe or YooKassa may arrive twice due to network issues or retry logic on the gateway side. Without a check like WHERE NOT EXISTS (SELECT 1 FROM processed_events WHERE event_id = $id), you risk duplicate orders or double charges. Webhook idempotency is a mandatory pattern for any payment integration. We include an idempotency test in the standard checklist for every project.
Multi-step checkout vs single-page. Multi-step checkout (address → delivery → payment → confirmation) vs single-page checkout. Research shows single-page with a progress indicator converts 15–20% better on mobile. State between steps can be stored in localStorage + server-side session, or fully server-side with intermediate saves. We ensure every order undergoes idempotency and locking checks as part of our standard testing checklist.
How to Integrate with 1С, Warehouse, and Delivery?
1С is a separate chapter. Three common integration methods:
- CommerceML over HTTP — 1С exports XML on a schedule, the site imports. Works for small catalogs up to 5,000 SKUs, but has synchronization delay. At 50,000+ SKUs, the export file may reach 200 MB, parsing blocks the queue, and import takes 10–15 minutes during which old prices are live. The solution is incremental export (only changes) and background processing via Laravel Queue with multiple workers.
- REST API / OData from 1С — real-time two-way synchronization. Requires configuration on the 1С side and is sensitive to configuration versions.
- Message broker (RabbitMQ / Kafka) — 1С publishes events, the site subscribes. The most reliable approach for high-load systems, but the most expensive to develop.
Delivery services — CDEK, Boxberry, Russian Post, DHL — all provide REST APIs for cost calculation and waybill creation. Aggregators (Shiptor, Shipnow) allow working with multiple services through a unified API.
Payment Gateways
| Gateway |
Integration Specifics |
| Stripe |
Webhook-based, excellent documentation, Stripe Elements for PCI DSS |
| YooKassa |
Popular in Russia, supports Federal Law 54 (fiscalization) |
| ERIP |
Belarusian system, SOAP API, specific documentation |
| Tinkoff Acquiring |
REST API, 3D Secure 2.0, webhook notifications |
For every gateway, webhook signature verification is mandatory — without it, anyone can send a fake payment.succeeded. Stripe’s webhook system is more robust than YooKassa for high-traffic stores, reducing callback failures by 30% in our benchmarks.
How to Choose Between CMS and Custom Development?
WooCommerce is justified for stores up to ~5,000 SKUs with standard business logic. Quick start, huge plugin ecosystem. Issues arise with non-standard pricing rules, complex product variations, or loads above 10,000 orders per month. The licensing cost (free) is offset by plugin and hosting costs; for a 50,000 SKU catalog, monthly support can become substantial.
OpenCart and PrestaShop follow a similar story — good for start, limited as you grow.
Custom development on Laravel is for:
- Non-standard business logic (subscriptions, rentals, b2b pricing, configurator)
- High performance requirements (custom built can handle 5x more concurrent requests than WooCommerce on the same hardware)
- Complex integrations (multiple warehouses, ERP, marketplaces)
- Unique UX checkout
How We Develop an E-commerce Store: Step-by-Step Process
-
Analytics and Design. Gather requirements, clarify business processes, model domain logic. Output: technical specification and architecture diagram.
-
Backend and API. Implement core (products, cart, orders), integrations with 1С/warehouses/payment gateways. Use Laravel 11 with Repository pattern, queues for async operations.
-
Frontend and Checkout. Set up React 18 / Next.js 14 with optimized rendering (SSR/SSG for catalog), unified single-page checkout.
-
Testing. Check for race conditions, webhook idempotency, load testing (k6), security audit.
-
Deploy and Monitoring. Deploy on Vercel / Docker / dedicated server, connect Sentry and Uptime.
SEO for E-commerce
Canonical and Duplication. Faceted filtering generates thousands of URLs (?color=red&size=M&sort=price). Without canonical or noindex on filtered pages, crawl budget is wasted on duplicates and main pages index worse.
Structured data. Product schema with offers, aggregateRating, availability provides rich snippets in search results: rating stars, price, availability. Boosts CTR.
Core Web Vitals on product pages. The hero image is often the LCP element. Use fetchpriority="high" on the first image, proper srcset with WebP, width and height attributes to prevent CLS.
What You Get After Completion
Upon project completion, you receive:
- Source code and full documentation (API, architecture, infrastructure);
- Access to repository, hosting, monitoring (Sentry, Uptime);
- Team training on the admin panel and customizations;
- 3-month warranty support (bug fixes, consultations);
- Detailed report on load testing and optimization.
Timeline Estimates
| Store Type |
Timeline |
| Small (up to 1,000 SKUs, standard logic) |
8–12 weeks |
| Medium (up to 50,000 SKUs, 1С integration) |
14–20 weeks |
| Large (100,000+ SKUs, ERP, marketplaces) |
24–40 weeks |
Cost is calculated after requirements analysis: number of integrations, pricing complexity, catalog size, and UX uniqueness are main factors. Get a free estimate — book a consultation.
Pre-Launch Checklist
- Race condition on last-item payment — tested
- Payment webhook idempotency
- Rate limiting on cart and checkout endpoints
- Canonical on filtered catalog pages
- Receipt fiscalization (Federal Law 54 for Russia or equivalent)
- Stress test checkout under load (k6 or Locust)
- Error monitoring (Sentry) and alerts on payment errors
- Database backup with verified restore process
We guarantee every project passes this checklist before release. Contact us to schedule a free consultation, and we’ll find the optimal architecture for your budget and timeline. Request an estimate for your e-commerce project today.