Stock Sync Implementation with a Dropshipping Supplier

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Development and maintenance of all types of websites:

Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
E-commerce websites or web applications
Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
Business process management web applications
CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

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Stock Sync Implementation with a Dropshipping Supplier
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Implementing Stock Synchronization with a Dropshipping Supplier

Have you ever had a customer place an order only for the supplier to say the item is out of stock? That leads to returns, unhappy customers, and a damaged reputation. It's especially painful when your site shows stock, but the real inventory is already zero. The gap between your storefront and reality can be hours — for popular items, minutes. According to statistics, up to 30% of dropshipping orders are canceled due to stockouts; automated sync reduces that to 5%. We specialize in dropshipping automation and supplier stock synchronization. In this article, we'll show you how to set up reliable sync to avoid these issues.

How to Choose a Synchronization Strategy?

Below are the main strategies we use, depending on supplier capabilities and accuracy requirements. Each has trade-offs in speed and load.

Strategy When to Use Accuracy Update Frequency
Full scheduled import FTP/CSV, no stock API Low (up to 24h delay) Once daily
Delta sync API with updated_since support Medium (15–60 min delay) Every 30–60 minutes
Real-time webhook Supplier supports push High (seconds) Instant
Real-time check on add-to-cart Any API High for critical moments On demand

For most projects, we use a combination: delta sync every 30–60 minutes plus a real-time check when the item is added to the cart. This balances load and accuracy. Delta sync cuts transferred data to about 10% of a full import, significantly reducing processing time.

Why Real-Time Check Is Essential?

Periodic sync reduces risk but doesn't eliminate it. Even with delta sync, stock can change between checks. So we add a check at the moment of adding to cart. This solves last-mile accuracy. Below is an example implementation in Laravel.

class AddToCartAction
{
    public function execute(Product $product, int $quantity, Cart $cart): void
    {
        // For dropship products, check stock with the supplier
        if ($product->dropshipProduct && $this->shouldDoRealtimeCheck($product)) {
            $connector = SupplierConnectorFactory::make($product->dropshipProduct->supplier);
            $result    = $connector->checkStock($product->dropshipProduct->supplier_sku);

            // Update cache
            $product->dropshipProduct->update([
                'supplier_stock' => $result->stock,
                'synced_at'      => now(),
            ]);

            if ($result->stock < $quantity) {
                throw new InsufficientStockException(
                    available: $result->stock,
                    requested: $quantity,
                );
            }
        }

        $cart->addItem($product, $quantity);
    }

    private function shouldDoRealtimeCheck(Product $product): bool
    {
        // Check in real-time if last sync was more than 15 minutes ago
        $lastSync = $product->dropshipProduct->synced_at;
        return !$lastSync || $lastSync->diffInMinutes(now()) > 15;
    }
}

Data Model and Change Logging

To track stock changes, we create a log table. This simplifies debugging and auditing.

Schema::create('dropship_stock_log', function (Blueprint $table) {
    $table->id();
    $table->foreignId('dropship_product_id')->constrained();
    $table->integer('prev_stock');
    $table->integer('new_stock');
    $table->string('source')->default('sync'); // sync | webhook | realtime_check
    $table->timestamp('recorded_at');
    $table->index(['dropship_product_id', 'recorded_at']);
});

Full Scheduled Synchronization

Once daily (usually at night), we run a full sync to catch discrepancies missed by delta. The implementation consists of two jobs: one dispatches per supplier, the other processes each supplier.

class FullStockSyncJob implements ShouldQueue
{
    public $timeout = 1800; // 30 minutes for large catalogs

    public function handle(): void
    {
        $suppliers = Supplier::where('is_active', true)->get();

        foreach ($suppliers as $supplier) {
            SyncSupplierStockJob::dispatch($supplier)->onQueue('stock-sync');
        }
    }
}

class SyncSupplierStockJob implements ShouldQueue
{
    public $tries = 3;
    public $backoff = [60, 300, 900];

    public function handle(SupplierConnectorFactory $factory): void
    {
        $connector = $factory->make($this->supplier);
        $page      = 1;
        $updated   = 0;

        do {
            $products = $connector->getStockLevels($page, 500);

            foreach ($products as $item) {
                $dropshipProduct = DropshipProduct::where([
                    'supplier_id'  => $this->supplier->id,
                    'supplier_sku' => $item->sku,
                ])->first();

                if (!$dropshipProduct) continue;

                if ($dropshipProduct->supplier_stock !== $item->stock) {
                    $prevStock = $dropshipProduct->supplier_stock;

                    $dropshipProduct->update([
                        'supplier_stock' => $item->stock,
                        'synced_at'      => now(),
                    ]);

                    // Update stock in the store's catalog
                    if ($dropshipProduct->product) {
                        $this->updateProductAvailability($dropshipProduct->product, $item->stock);
                    }

                    // Log the change
                    DropshipStockLog::create([
                        'dropship_product_id' => $dropshipProduct->id,
                        'prev_stock'          => $prevStock,
                        'new_stock'           => $item->stock,
                        'source'              => 'sync',
                        'recorded_at'         => now(),
                    ]);

                    $updated++;
                }
            }

            $page++;
        } while (count($products) === 500);

        Log::info('Stock sync completed', [
            'supplier' => $this->supplier->slug,
            'updated'  => $updated,
        ]);
    }

    private function updateProductAvailability(Product $product, int $newStock): void
    {
        $wasAvailable = $product->stock > 0;
        $isAvailable  = $newStock > 0;

        $product->update(['stock' => $newStock]);

        // Notify 'notify me when back in stock' subscribers if product became available
        if (!$wasAvailable && $isAvailable) {
            event(new ProductBackInStockEvent($product));
        }
    }
}

Delta Sync and Webhook

If the supplier's API supports the updated_since parameter, we use delta sync instead of full import — we only load changed records. This reduces load and speeds up updates. For suppliers that support push notifications, we set up a Webhook — stock updates in seconds.

// routes/api.php
Route::post('/webhooks/supplier/{supplier:slug}/stock', SupplierStockWebhookController::class)
    ->middleware('verify.supplier.signature');

class SupplierStockWebhookController
{
    public function __invoke(Request $request, Supplier $supplier): JsonResponse
    {
        foreach ($request->input('items', []) as $item) {
            UpdateDropshipStockJob::dispatch($supplier, $item['sku'], $item['stock']);
        }

        return response()->json(['ok' => true]);
    }
}

What Risks Arise Without Synchronization?

Without automation, you end up manually reconciling stock, which takes hours daily. Customers see inaccurate data, leading to order cancellations and lower search rankings due to high return rates. According to our data, automation cuts order cancellations from 30% to 5%, saving up to 15% of store turnover. For a store with $100,000 monthly turnover, that's $15,000 saved — the solution pays for itself in 2–3 months.

How to Avoid N+1 Queries in Full Sync?

In the SyncSupplierStockJob code, each DropshipProduct::where inside the loop is a potential N+1. For a catalog of 10,000 SKUs, that's 10,000 queries. We optimize by loading all existing records for the supplier in one query into a Collection, then matching by key. Alternatively, use updateOrCreate with mass update, but versioning requires caution.

Monitoring and Notifications

We set up alerts in Telegram/Slack on sync failures. Every step is logged: number of updated records, execution time, API errors. This allows quick response to issues. For example, if the supplier returns HTTP 503, the job automatically retries after 5 minutes with exponential backoff.

Example queue configuration in Laravel
'stock-sync' => [
    'driver' => 'database',
    'connection' => 'mysql',
    'table' => 'jobs',
    'queue' => 'stock-sync',
    'retry_after' => 1800,
],

We use withoutOverlapping on cron tasks to avoid duplication.

What's Included in the Sync Implementation

Stage Scope of Work
Supplier API analysis Study documentation, test endpoints, identify limits
Data model design Create DB schema for storing stock and logs
Sync core implementation Write code for full, delta sync, and webhook
Real-time check Integrate stock check on add-to-cart
Testing Load testing, verify correctness under failures
Documentation Architecture description, deployment guide
Training Demo the system, transfer knowledge to your team
First month support Monitoring, bug fixes, adjustments as needed

Why Trust Us?

We have been in web development for over 5 years and have completed more than 50 integrations with suppliers for e-commerce stores. Our team consists of 10 developers specialized in Laravel, Vue.js, and high-load systems. We guarantee stable sync and quick recovery in case of failures. Contact us for a project audit — we'll evaluate your current situation and propose the best solution.

Estimated Timelines

Stage Timeline
Full scheduled sync 2 business days
Delta sync + real-time check 3–4 business days
Webhook integration (if supported) +1 day

Get a consultation on choosing a sync strategy and learn how automation can reduce returns and increase customer loyalty. We are ready to help at every stage — from analysis to support.

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

  1. Analytics and Design. Gather requirements, clarify business processes, model domain logic. Output: technical specification and architecture diagram.
  2. Backend and API. Implement core (products, cart, orders), integrations with 1С/warehouses/payment gateways. Use Laravel 11 with Repository pattern, queues for async operations.
  3. Frontend and Checkout. Set up React 18 / Next.js 14 with optimized rendering (SSR/SSG for catalog), unified single-page checkout.
  4. Testing. Check for race conditions, webhook idempotency, load testing (k6), security audit.
  5. 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.