AI Powered integration with expert operators

Clarus WMS and Stokly ERP

Integration Agency & Consultants

Financial reporting gaps and fulfilment delays usually surface the moment inventory levels in Clarus WMS drift from the figures in Stokly ERP. At low volumes, teams can manually bridge these gaps. At scale, mismatched stock counts lead to overselling and unfulfilled orders that drag on the customer experience team. We connect these systems to eliminate reconciliation debt and ensure stock visibility is grounded in operational reality.

Castore
Lounge
Oliver Bonas
Green People
Tatty Devine
Cult
Auditing stock gaps and operational friction

We connect your Clarus WMS and Stokly ERP, supporting WMS/3PL and ERP integration for efficient operations. Our consulting services are valuable because our system audit uncovers inefficiencies and integration gaps between Clarus WMS, Stokly ERP, and other WMS/3PL or ERP platforms. This enables our consultants and your team to take decisive action, ensuring your technology ecosystem runs smoothly and efficiently. As a result, you can deliver a reliable, high-quality experience to your customers.

Solution Design

Designing the Clarus WMS and Stokly ERP integration starts with defining firm ownership. Stokly ERP typically acts as the master for sales orders and financial data, while Clarus WMS owns the fulfilment lifecycle and inventory accuracy. A key design decision involves the trade-off between real-time stock updates and system stability. High-frequency inventory pushes from Clarus can impact Stokly's performance during peak, so we commonly implement a managed update cadence that protects system resources while preventing overselling. We sequence order flow and despatch confirmation first, as these are critical for the daily operation. This approach means finance closes month-end with confidence in Stokly, while operations work off live fulfilment data in Clarus.

Mapping webhooks and fulfilment status logic

The integration establishes Stokly ERP as the system of record for sales and financials, pushing orders to Clarus WMS for fulfilment. Stokly utilises a push-based webhook architecture, requiring Clarus to acknowledge payloads immediately to prevent duplicate records. Once Clarus confirms a pick and pack, it triggers a status update back to Stokly to update fulfilment states. Inventory levels synchronise from Clarus back to Stokly on a defined schedule to keep available-to-sell figures accurate. We embed monitoring at each stage to ensure data integrity without creating manual reconciliation debt.

Orchestrating secure flows via compliant middleware

Leveraging IPaaS with ISO 27001 and SOC 2 and above security accreditations enables secure, efficient integration between Clarus WMS and Stokly ERP. This approach simplifies WMS/3PL and ERP connectivity, ensuring reliable data flow between Clarus WMS and Stokly ERP. IPaaS platforms offer centralised management, scalability, and robust compliance, making WMS/3PL and ERP integration more secure and manageable, with ISO 27001 and SOC 2 compliance as the minimum requirements.

Exposing inventory drifts and order exceptions

Dashboards often hide the very issues that disrupt a warehouse. A high-level view might show stock is moving, but it fails to surface the single SKU that has drifted between Clarus WMS and Stokly ERP. We focus on exception-based visibility, highlighting orphaned orders, failed inventory syncs, or status mismatches that prevent fulfilment. Our approach ensures that hidden errors do not compound into warehouse-wide reconciliation issues. By surfacing these failures early in the integration layer, your team can resolve individual record errors before they impact your daily despatch targets or month-end financial reporting.

Operational handover for daily system management

Handover focuses on how your finance, warehouse ops, and ecommerce teams own the new operating model. We move beyond technical reference to provide operational documentation that dictates daily and weekly routines. Your team learns to identify where data objects live across Clarus WMS and Stokly ERP, how to interpret alerts from the integration layer, and who owns specific exception types. This training is anchored in your specific design decisions, ensuring your staff can manage the day-to-day flow without outside intervention. The result is a practical reference guide written for the people running the business, not for an IT department.

Post-launch governance and proactive flow monitoring

After launch, we provide ongoing operational ownership to ensure your integration continues to perform under peak pressure. Our support goes beyond fixing broken tickets; we monitor the flow of data between Clarus WMS and Stokly ERP to catch reconciliation gaps before they affect your finance or ops teams. With clear escalation paths and proactive monitoring, you have a partner who understands the business impact of a failed stock sync or a delayed shipment update. We ensure that as your processes evolve, the integration layer is adjusted to maintain accurate inventory and fulfilment data.

Integration operating model

Under this model, Stokly ERP is the hub for your commercial operations, owning the master record for orders, customers, and financials. Clarus WMS acts as the fulfilment engine, owning the physical inventory and the pick, pack, and despatch process. Orders flow from Stokly to Clarus as soon as they are ready to be picked. As the warehouse team processes these, Clarus sends fulfilment confirmations back to Stokly to close the loop on the order lifecycle and update the ledger. Inventory remains correct because Clarus pushes its local stock counts back to Stokly, ensuring your sales channels always reflect what is actually on the shelf. This clear ownership prevents double-handling of data and ensures your warehouse and finance teams work from the same numbers.

Common failures

SKU mismatch and leading zeros

Operational impact: Inventory synchronisations can fail if SKU codes contain leading zeros. If one system strips these zeros while the other persists them, it creates unmapped stock updates. This prevents available-to-sell figures from updating correctly, leading to overselling on sales channels.

Prevention / Action: Data mapping must ensure SKU formats match across both systems. The integration should flag unmapped SKUs during the sync process to prevent silent failures.

Inventory sync timeouts

Operational impact: Running mass inventory syncs during peak warehouse hours can lead to system timeouts. If the ERP update fails to complete, stock counts remain out of sync. This creates a gap between the physical warehouse reality and the available stock shown on sales channels.

Prevention / Action: Schedule full inventory synchronisations during lower-activity periods. Incremental updates for active SKUs can reduce the load and prevent timeouts.

Duplicate order records

Operational impact: If the integration does not acknowledge order data from the ERP quickly enough, the ERP may retry the send. This can create duplicate records in the warehouse or financial systems, leading to double-shipping or incorrect reporting.

Prevention / Action: The integration must acknowledge data receipt immediately to prevent unnecessary retries. Implement checks to identify and ignore duplicate order payloads.

Frequently asked questions

If Stokly is our ERP, does it or Clarus WMS become the source of truth for inventory?

Stokly ERP remains the central source of truth for available-to-sell stock figures and overall financial data. Clarus WMS manages the real-time physical inventory levels at the warehouse, and the integration synchronises these physical stock adjustments back to the item record in Stokly. This prevents overselling by ensuring the commercial data in Stokly correctly reflects the physical reality in Clarus.

What is a common point of failure for order synchronisation?

A frequent failure occurs when SKUs do not have a perfect 1:1 match between both systems. Because Stokly ERP acts as the master for the item record, if a SKU is created or changed in Stokly but not in Clarus WMS, any new Sales Orders for that product will fail to transfer. This halts the order-to-cash process and requires manual data correction to resume fulfilment.

Our main problem is stock discrepancies causing fulfilment errors. How does this integration address that?

The integration establishes a clear sequence: Stokly ERP sends a validated Sales Order to Clarus WMS, which then owns the pick, pack, and ship process. Once the Item Fulfilment is complete in Clarus, it sends an authoritative update back to Stokly, decrementing the stock level for that specific SKU. This closed-loop process ensures inventory figures stay aligned and directly prevents the stock discrepancies that lead to overselling.

How are customer returns and stock adjustments processed across both systems?

Typically, the returns process begins in Stokly ERP where a return authorisation is generated against the original Sales Order. When the goods arrive at the warehouse, the operations team logs them in Clarus WMS, noting their condition. This action triggers an inventory update back to Stokly, which adjusts the stock record and signals that a refund or credit can be processed.

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