Unreliable inventory levels
- Storefront shows stock your 3PL can't find
- Overselling popular SKUs during flash sales
- Manual stock counts to verify WMS data
Your 3PL and WMS must be perfectly synchronised with your storefront. Misalignment leads to stockouts, overselling, and failed deliveries when it matters most.
Operational Readiness Flow
From warehouse selection to peak trading governance, a stable data model is non-negotiable.
Common Failure Points
Misaligned incentives and brittle connections create operational chaos. An agency must own the integration from end to end, not just the initial setup.
The Integration Playbook
We establish a stable integration pattern that manages the full order lifecycle, from placement to returns and reconciliation. This is about control, not just connectivity.
Partner Scoping & Due Diligence
Stage 1
WMS & ERP Integration
Stage 2
Inventory & Order Management
Stage 3
ASN & Fulfilment
Stage 4
Returns & Reverse Logistics
Stage 5
Reconciliation & Governance
Stage 6
Connected Systems
Integration connects your storefront to the operational reality of your warehouse. We focus on the core data flows between Shopify, ERPs, and the WMS of your chosen 3PL.
Shopify
eCommerce
Shopify Plus
eCommerce
Netsuite
ERP
Microsoft Dynamics 365
ERP
Bleckmann
3PL / WMS
GXO
3PL / WMS
SEKO Logistics
3PL / WMS
Torque
3PL / WMS
Peoplevox
WMS
Patchworks
iPaaS
Zendesk
Customer Service
Gorgias
Customer Service
Integration Approaches
A simple connector app might work for a single warehouse with low order volume. A managed integration is built for scale, complexity, and peak trading resilience.
Relying on pre-built connectors from the Shopify App Store.
A properly engineered and supported data fabric.
Operational Scars
These are not theoretical risks. They are real-world failures we have been hired to fix. Each one represents a breakdown in data integrity between a retailer and their 3PL.
Silent Sync Failures at Peak
"The integration just stopped sending orders. No errors, no alerts. We lost six hours of trading on Black Friday."
A custom-built integration layer between Shopify and the WMS failed silently under load. Orders were accepted by Shopify but never reached the warehouse for fulfilment.
Replace the fragile script with a managed iPaaS (Patchworks). Implement heartbeat monitoring and an exception-first dashboard to make any failure visible in minutes, not hours.
Resilient order flow that scaled through the next peak. The operations team now has a dashboard to confirm data synchronisation is healthy.
Returns Put-Away Lag
"GXO had pallets of returns they couldn't process. We were refunding customers for stock we couldn't resell."
The process for reconciling returned goods with the original order was manual. The 3PL's SLA for 'put-away' was consistently missed, creating a massive backlog of dead, unavailable stock.
Automate the RMA-to-credit note workflow. The integration now polls for 'goods inspected' status from the WMS before triggering a refund and updating inventory.
Reduced the returns processing cycle from weeks to under 48 hours. Improved stock availability and cash flow by getting items back on sale faster.
Advance Ship Notice (ASN) Drift
"Our despatch confirmations were hours late. It looked like we were breaking our next-day delivery promise."
A 3PL partner's system sent ASN files on a slow, unreliable schedule. This delayed the creation of fulfilments in Shopify, breaking customer notification workflows.
Shift from file-based exchange to a direct API integration. Despatch confirmation data is now sent per-order as it happens, not in large, slow batches.
Tracking information appears in the customer's account almost instantly. 'Where is my order?' tickets dropped significantly.
Spreadsheet-Driven Operations
"Our head of ops was merging three spreadsheets just to figure out what to order. The WMS data was unusable."
The daily inventory feed from the WMS was so unreliable that the team reverted to manual data entry in spreadsheets. This created multiple sources of truth and constant stock discrepancies.
Build a definitive data warehouse that reconciles Shopify, WMS, and purchasing data. Surface a single, trusted inventory view for all teams.
Eliminated spreadsheet workarounds. The merchandising and operations teams now work from the same trusted data set, improving forecast accuracy.
Cogent AI for Operations
We use AI to monitor the health of your logistics integrations. It works like an expert operator, watching for patterns that signal trouble before they impact customers.
The Consultant
The AI Agent
The agent continuously validates data flow between your WMS and Shopify. It alerts your team if, for example, no orders are synced for 30 minutes during a typically busy period.
It cross-references stock levels, order statuses, and return confirmations between systems. It then flags inconsistencies, such as a fulfilled order in the WMS that is still unfulfilled in Shopify.
The agent monitors the time taken for each stage of the fulfilment lifecycle, from order received to ASN sent. It flags negative trends, like a growing delay in despatch confirmations from your 3PL.
Instead of just logging errors, the agent identifies recurring issues, such as a specific SKU that repeatedly fails to sync, and raises it as a priority investigation.
Engagement Model
Our process is designed to de-risk the selection and integration of your fulfilment partners. We establish clear ownership and predictable outcomes from day one.
We model your end-to-end fulfilment and returns process, defining the exact data requirements for your chosen 3PLs.
We assess the technical capabilities and limitations of your prospective partners' WMS platforms, identifying integration risks early.
Design of the end-to-end data flow, specifying the role of Shopify, the ERP, and the integration layer (iPaaS).
Configuration and development of all required data feeds for orders, stock, returns, and fulfilments using a managed integration platform.
Your operations team tests the integration against real-world scenarios, from order placement to processing a complex return.
We manage the deployment and provide intensive support for the initial weeks of operation to ensure stability and address any issues.
Continuous monitoring of integration health and performance, providing operational intelligence and proactive support.
Expected Business Outcomes
A robust 3PL integration is not just an IT project. It is a fundamental operational capability that directly impacts customer satisfaction and profitability.
99.9%+
Ensure every order placed on your store reaches the warehouse correctly, without manual intervention.
Real-Time
Maintain a single, accurate view of stock across your WMS and storefront to eliminate overselling.
< 24 Hours
Get returned goods inspected, processed, and back into sellable stock faster.
Faster
Automate the flow of fulfilment and tracking data back to Shopify, informing customers sooner.
Zero
Remove the need for spreadsheet workarounds and manual CSV uploads to manage operations.
Confident
Scale through your busiest periods knowing your fulfilment pipeline is resilient and monitored.
Key Questions
Common questions from operators and supply chain leads evaluating 3PL partners and integration strategies.
We can integrate with any partner that provides a modern API or a reliable method for data exchange. Part of our due diligence process is to assess the quality of a 3PL's technical capabilities before a project begins. If they rely on outdated methods like manual SFTP drops, we will flag that as a major operational risk.
Stock parity means your website's inventory count perfectly matches the physical, available-to-sell stock in your warehouse. It's difficult because of timing delays. Batch updates, slow returns processing, and unsynced order cancellations all create windows where the two systems are out of step, leading to overselling.
Off-the-shelf apps are built for the simplest use case. They often lack the sophisticated logic needed for order routing, bundle handling, or complex returns. They also create 'ownership leakage' — when it breaks, the 3PL blames Shopify, and Shopify blames the 3PL, leaving you to fix it.
An Integration Platform as a Service (like Patchworks) is a managed middleware layer that sits between your systems. It handles data translation, error handling, and monitoring. For any serious retail operation, relying on direct point-to-point connections is too fragile. An iPaaS provides the resilience and visibility needed to manage operations at scale.
Our model ensures the returns loop is as robust as the outbound order flow. We integrate your customer-facing returns portal (or create one) with both Shopify and the WMS. A refund is only processed after the WMS confirms the item has been received and inspected, preventing revenue loss and ensuring stock is accurately returned to inventory.
Ready to build?
Let's discuss your fulfilment partners, operational pressures, and the integration model required to support your growth.