Integration platform for e-commerce that combines shop, warehouse, ERP, invoices, payments, couriers, statuses, notifications and reports in one controlled order handling process.
The model customer conducts online sales through the shop, marketplace and manual orders. Data about products, states, payments, invoices, shipments and returns are distributed between the store platform, ERP, warehouse, invoice system, couriers and operating sheets.
The team manually checks payments, rewrites data for invoices, broadcasts shipments, updates statuses and improves stocks. With a larger order volume, the risk of delays, lack of consistency of states, incorrect notifications and lack of one operational report increases.
The store sells products, ERP runs a warehouse, the invoicing program issues documents, the courier has its own panel, and payments work separately. SmartCodeIT designs an integration platform that reduces manual data copying and organizes order status throughout the entire process.
Each value is an example value requiring confirmation during pre-implementation analysis.
The company has its own warehouse, ERP, payment operator, couriers, invoicing program and marketplace. The data exists, but it flows through CSV exports, manual updates, admin panels, and emails, making order processing difficult to scale.
The store shows products that are out of stock or ERP.
Order data is copied to ERP, invoices and the courier panel.
Shipping address is copied between systems without validation.
Payment status does not automatically trigger fulfillment.
Invoices or receipts are issued manually after packing.
The operator transfers the data to the carrier's panel.
The client asks about the status because the system does not send information about changes.
Store, ERP, courier, invoices and marketplace have separate statuses.
The status in the store does not match the warehouse, invoice or courier.
The return is sent to e-mail, warehouse and payment separately.
The manager does not see delayed orders, integration errors and bottlenecks.
It is unknown whether the order, invoice, label or status was sent correctly.
The manual process works to a certain extent, but as order volumes increase it becomes prone to errors, delays and lack of control. The greatest value comes from a project that organizes the entire flow of events.
The solution can work via API, webhooks, event queues or controlled exports. Each step has a log, retry, error status and reaction owner, thanks to which automation does not hide problems.
The workflow shows the status, owner and SLA of each step. When API returns an error, the system should show it in the dashboard, retry the operation or pass the case to a human.
The store transfers the cart, customer, address, payment and order items.
Owner: store • SLA/status: startThe store transfers the cart, customer, address, payment and order items.
Payment status triggers ERP, reservation, invoice and courier.
The order gets pending status and a reminder.
The system blocks sales or creates a shortage alert.
Takes into account limits, price lists and individual conditions.
Selects carrier, documents and language communication.
The form creates an RMA, return label, and case status.
The case goes to the attachments and history panel.
The order is divided into several packages and statuses.
The process gets priority and the shorter SLA.
The product is blocked after payment or acceptance of B2B.
The system creates an accounting task and document status.
The order retains ERP, the warehouse, the invoice and the courier.
The calculator shows the approximate time needed for manual order processing: rewriting, invoices, labels, statuses and communication. The result must be confirmed on the real volume and process.
Example value requiring confirmation during pre-implementation analysis. The result depends on volume, process, data quality, integration and how the team works.
WooCommerce • Shopify • PrestaShop • Magento
webhooki • REST • GraphQL • walidacja
kolejki • retry • mapping • logi
zamówienia • kontrahenci • dokumenty • stany
rezerwacje • kompletacja • pakowanie • braki
status • potwierdzenie • refundacja • raport
faktura • paragon • korekta • KSeF-ready
etykieta • tracking • status • zwrot
e-mail • SMS • webhook • status
KPI • errors • SLA • Power BI
The scope of integration depends on the store platform, available API, SKU quality, variants, ERP limits, couriers and payment operators. Sometimes Base.com/Baselinker is enough, and sometimes you need a dedicated integration layer with event queues, retry, logs, error dashboard and manual correction procedure.
The project includes RBAC, SSO, optional MFA, transmission encryption, integration logs, retry mechanisms, API monitoring, backup, event queues, DEV / TEST / PROD environments and GDPR. The key is that an invoice, payment, courier or status synchronization error does not disappear in the background, but has a status, log, reaction owner and a safe manual correction procedure.
We map orders, payments, warehouse, invoices, couriers, returns and statuses.
The result is a data flow map and a list of manual operations.
We check the store's API, ERP, WMS, payments, couriers, marketplace and invoices.
Risks include API limits, lack of webhooks, and inconsistent SKUs.
We design the integration layer, queues, retry, logs, validation and error dashboard.
The product is the MVP scope and data model.
We build the first flow: order, payment, ERP, warehouse, invoice, label and status.
MVP should work on the selected sales channel.
We are adding additional platforms, couriers, invoices, marketplace and dashboard.
Every integration requires exception testing.
We test payments, out-of-stocks, cancellations, returns, corrections, API errors and retry.
Testing should cover truly production-like data.
We launch the process, monitor errors and train the operational team.
Launch requires a rollback plan and manual fallback procedure.
We are adding the B2B portal, AI inventory forecasting, OMS, BI and returns automation.
Development should come from bug reports and order volume.
| KPIs | Before | After MVP | How to measure |
|---|---|---|---|
| Order processing time | manual steps | workflow and statuses | time from payment to shipping |
| Number of errors | mail and complaints | error dashboard | address, SKU, invoice errors |
| Stock synchronization | cyclic export | API / webhook | status update time |
| Invoice due date | after packing | Invoice Engine | time from payment to document |
| Shipping time | courier panel | API labels | time from picking to labeling |
| Manual operations | multiple panels | automated actions | number of clicks/operator |
| Timely shipments | manual report | dashboard SLA | shipments on time |
| Customer satisfaction | repetitive questions | status and tracking | number of questions about the order |
This case study presents an anonymized, model implementation scenario based on typical e-commerce processes. All indicators are indicative and require confirmation during pre-implementation analysis. The scope depends on the store platform, ERP, warehouse, payments, couriers, SKU, order volume, data quality and the team's readiness to work on statuses.
During the analysis, we will identify the operations that are worth automating first and select an integration model tailored to your infrastructure: API, webhooks, event queues, Base.com/Baselinker or a dedicated panel.
Not always. Often, a layer of integration and an operating panel around an existing store is enough. A new store makes sense only when the current platform limits the process.
Yes, if ERP provides APIs, exchange files or a stable way to import and export data. Before pricing, you need to check fields, limits and how to handle errors.
Yes. Synchronization requires organized SKU, variants and one source of truth for availability. Without this automation can move the wrong data faster.
Yes, but the scope depends on the invoice system, the accounting system and the company's requirements. High-risk documents may require human acceptance.
Yes. You can generate labels, save tracking and send notifications if the carrier or intermediary makes available API.
Yes. The process may include return form, RMA number, status, return label, decision, refund and cause report.
No. Automation supports repetitive activities, but man still supports exceptions, complaints, financial decisions and quality control.
Yes. A good MVP can flow: paid order -> label -> tracking -> customer notification -> status sent.
Yes. Marketplace requires mapping of SKU, states, prices, statuses and documents. We often implement this gradually to reduce risk.
Not always. Base.com can be a good operating center, but in some processes the direct integration of API or hybrid model is better.
Errors should go to logs, alerts and queues to be repeated or manually corrected. Integration without monitoring is risky.
Yes, if product costs, shipping costs, commissions, returns and sales data are available, this often requires ordering the source data.
Yes. The SMS can be used for statuses, reminders or shipping information, but the operator costs and communication consent must be taken into account separately.
The highest risk is inconsistent product data, lack of clear state source, limitations of API and no exception procedure.
Time depends on the platform, number of channels, ERP, WMS, invoices, couriers, marketplace and data quality. The first flow can be implemented faster than the full omnichannel system.
SmartCodeIT can help you design your process, prepare MVP and implement an application tailored to your organization. We start with a short conversation about data, tools, exceptions and business purpose.