A customer pays for an order for a product that the supplier no longer has. Typical situation: the marketplace holder neglected stock synchronization. The difference between successful delivery and loss is a couple of seconds of update delay. For a store with a turnover of $9k–13k, that's $2.7k–3.9k in losses. And if the store processes 500 orders a day, manual synchronization takes up to 40 hours a month. We build a dropshipping system on Laravel that automatically transmits orders to suppliers, synchronizes stocks, and manages margins without storing your own warehouse. This is a layer of abstraction consisting of three interrelated subsystems: catalog import and synchronization, order transmission to the supplier, and delivery status tracking. If any of them is neglected, the store accepts orders for missing items. Losses can reach 30% of revenue. Our experience shows: hydration mismatch between supplier and store data is the main cause of losses in dropshipping. Savings on manual processing of 1000 orders can be up to 80% of time, about $90–130 per month. The cost of developing a dropshipping module is calculated individually, but the first supplier integration takes 16–20 working days.
What problems we solve
Unsynchronized stocks. Without real-time updates or an interval of no more than 10 minutes, you sell what is no longer available. A typical supplier stock update delay ranges from 5 minutes to 24 hours. We implement a Laravel queue with retries — synchronization every 5 minutes for hot items, once an hour for the rest. This is 10 times more reliable than passively waiting for a supplier response. As noted in Laravel documentation, queues provide asynchronous task processing, which is critical for dropshipping.
Heterogeneous suppliers. One works via REST, another via FTP with CSV, a third via SOAP. Each requires its own connector. We implement a common SupplierConnectorInterface, under which a separate implementation is written. Adding a new supplier does not break existing logic.
Mixed orders. When the cart contains both warehouse items and dropshipping positions, processing must be split. We group items by supplier, write off own goods immediately, and send dropshipping orders only after payment confirmation. The customer sees a single order with multiple tracking numbers.
Why catalog synchronization is the narrowest bottleneck?
Suppliers rarely provide real-time access to stocks. Many update CSV once a day. We solve this with a hybrid approach: for API suppliers — checkAvailability in real-time when adding to cart; for CSV — queue warming with a reasonable delay and caching for 5-10 minutes. This is a compromise between data freshness and load.
| Integration type | Update delay | Implementation complexity | Recommendation |
|---|---|---|---|
| REST API | Seconds-minutes | Medium | For hot items |
| CSV (FTP/HTTP) | Hours-days | Low | For catalogs with rare updates |
| SOAP | Minutes-hours | High | For legacy suppliers |
How are mixed orders processed?
Note: when the cart contains both warehouse items and dropshipping positions, processing is split. Own goods are written off immediately after payment, dropshipping orders are sent to the supplier only after payment confirmation. The customer sees a single order with multiple tracking numbers. At the database level, each item stores a supplier_order_id, linking the store order to the supplier order.
Core architecture of DropshippingKernel
class DropshippingKernel { public function __construct( private SupplierRepositoryInterface $suppliers, private PriceCalculator $priceCalculator, private OrderDispatcher $orderDispatcher, ) {} public function calculateRetailPrice(DropshipProduct $dp): float { $supplier = $dp->supplier; $margin = $dp->margin_override ?? $supplier->default_margin; return $this->priceCalculator->calculate( supplierPrice: $dp->supplier_price, marginPercent: $margin, ); } public function dispatchOrder(Order $order): void { $bySupplier = $order->items->groupBy( fn($item) => $item->product->dropshipProduct?->supplier_id ); foreach ($bySupplier as $supplierId => $items) { if (!$supplierId) continue; $this->orderDispatcher->dispatch( supplier: Supplier::find($supplierId), order: $order, items: $items, ); } } } Connector for REST API:
class RestApiSupplierConnector implements SupplierConnectorInterface { public function placeOrder(SupplierOrderDTO $dto): SupplierOrderResult { $response = $this->http->post($this->supplier->api_endpoint . '/orders', [ 'headers' => ['Authorization' => 'Bearer ' . $this->getToken()], 'json' => [ 'external_id' => $dto->orderId, 'items' => $dto->items->map(fn($i) => [ 'sku' => $i->supplierSku, 'quantity' => $i->quantity, ])->toArray(), 'delivery' => [ 'name' => $dto->recipientName, 'address' => $dto->deliveryAddress, 'phone' => $dto->phone, ], ], ]); $data = json_decode($response->getBody(), true); return new SupplierOrderResult( supplierOrderId: $data['order_id'], status: $data['status'], ); } } Typical mistakes in dropshipping implementation
- Ignoring time zones. Supplier and store may be in different time zones. Cron synchronization without accounting for this will lead to discrepancies.
- Lack of retries. If the supplier API is temporarily unavailable, the order is lost. Laravel queue with retry logic solves this.
- Insufficient response validation. Always check HTTP status and JSON structure. An error in one field can break the entire order.
Our workflow
- Analysis — study supplier formats, update frequency, API limitations. Create a field map.
- Design — database schema, core, interfaces.
- Implementation — write models, connectors, synchronization queue, order dispatcher.
- Testing — test on a sandbox supplier, check edge cases: cancellation, partial return, validation errors.
- Deployment and training — set up monitoring, logs, dashboard in the admin panel.
What's included
- Design and documentation of database schema and architecture
- Implementation of
DropshippingKernelcore with support for multiple suppliers - Connectors for REST, CSV, SOAP (to choose)
- Catalog and price synchronization scheduler
- Mixed order processing and state machine
- Supplier management panel in the admin area
- Testing with real suppliers, debugging
- Instructions for connecting a new supplier
Estimated timeline
| Stage | Duration |
|---|---|
| Database schema and architecture design | 2 days |
| Base models, core, interfaces | 3 days |
| First supplier connector (REST API) | 2 days |
| Catalog synchronization (cron + queue) | 2 days |
| Order dispatch and status handling | 3 days |
| Admin UI: supplier management | 2 days |
| Testing and debugging | 2 days |
| Comprehensive testing + training | 2 days |
Total: 16–20 working days for a fully functional system with one supplier. Each additional supplier: 3–5 working days. Pricing is calculated individually after requirement analysis. Get a consultation on dropshipping automation — we'll show a live demo with your supplier. Time savings on manual order processing can be up to 80%.
Guarantee transparency
We openly show the architecture, use industry patterns (Repository, Strategy for connectors), provide access to source code and documentation. Our experience: over 10 years in e-commerce development on Laravel, 40+ integrations with suppliers. Book a consultation — we'll show how the system works with a real supplier. The dropshipping model requires reliable automation, and we deliver. Contact us for a cost estimate.







