Sage200 and Seko
Integration Agency & Consultants
At scale, the gap between your Sage200 financials and Seko warehouse stock becomes a source of shipping delays and inventory discrepancies. This friction usually surfaces when the warehouse is forced to ship against incomplete order data or when stock levels drift across systems. We address these failures by properly aligning the flow of orders and inventory, ensuring that your data remains accurate as you grow. This creates a reliable operating model that allows your team to ship on time and protect customer trust.
Audit gaps between ERP and WMS
We connect Sage200 and Seko quickly, ensuring your ERP and WMS/3PL systems work together efficiently. Our consulting services are invaluable, with our system audit uncovering integration gaps between Sage200, Seko, ERP, and WMS/3PL. This enables our consultants and your team to take decisive action, improving workflows and system performance. By addressing inefficiencies, we help your tech ecosystem run smoothly, so you can deliver a reliable customer experience and support your business’s growth.
Solution Design
The integration design typically establishes Sage200 as the financial source of truth and Seko as the master of real-time inventory. A common design decision is the timing of order releases; orders often flow to Seko once Sage200 has validated transactional data. A key trade-off involves inventory synchronisation. While frequent updates protect against overselling, they requires careful management of system load, so we often design around a schedule that balances accuracy with architectural stability. Finance manages the ledger within Sage200, while operations rely on Seko for dispatch status and warehouse activity. This design ensures that fulfilment data flows back into Sage200 to update order statuses and trigger financial postings, maintaining a consistent record across the fulfilment cycle.
Define item and inventory data ownership
This integration removes source-of-truth ambiguity by defining Sage200 as the master for item data, while Seko owns the warehouse inventory levels. Sales orders post from Sage200 to Seko for fulfilment once they are cleared for dispatch. As Seko confirms movement, fulfilment status and tracking data flow back to Sage200 to update the record. Stock levels are synchronised at a defined frequency to protect against overselling, ensuring the balance in Sage200 reflects Seko's physical stock minus any pending picks.
Connect systems via secure orchestration layers
Leveraging IPaaS with ISO 27001 and SOC 2 and above security accreditations, Sage200 and Seko integrations are delivered securely and efficiently. IPaaS connects ERP and WMS/3PL systems, ensuring Sage200 and Seko data flows reliably between ERP and WMS/3PL platforms. This approach reduces risk, simplifies management, and supports compliance, making integration robust and future-proof.
Surface exceptions to prevent stock drift
Dashboards often hide the very issues that cause the most damage, such as subtle stock drift or misaligned data. We focus on surfacing exceptions that require intervention, such as orders that Sage200 rejected or dispatches that failed to sync back. The monitoring layer tracks the health of the connection between Sage200 and Seko, identifying when a sync has stalled or mapping has failed. This allows your team to see exactly where an order is stuck and why, preventing small errors from compounding into fulfilment delays or financial reconciliation gaps.
Operational handover for internal system owners
Training ensures finance and operations teams take full ownership of the Sage200 and Seko workflow. We hand over a documented operating model that defines where data originates and how it moves. Your team typically learns to manage stock reconciliations and order audits, ensuring discrepancies between the ERP and the warehouse are identified quickly. We provide operational documentation written for the people running the business rather than technical reference guides. This includes guidance for responding to alerts and owning specific exception types, such as warehouse sync failures or SKU mismatches. The focus is on practical system management, letting your staff maintain fulfilment accuracy and inventory truth.
Maintain data flows and mapping logic
Support focuses on maintaining the operational flow between Sage200 and Seko. We monitor data flows to catch failed order imports or stock sync errors before they impact fulfilment. This includes managing mapping adjustments as your product catalogue evolves, ensuring dispatch schedules remain uninterrupted. By maintaining visibility over these data triggers, we identify and resolve technical blocks that would otherwise force your warehouse team into manual workarounds.
Common failures
Inventory latency and overselling
Operational impact: Sage200's inventory position is synchronised on a schedule, but this can lag behind the real-time stock movements recorded in Seko's warehouse operations. This discrepancy leads to overselling on sales channels, which creates failed Sales Orders in Sage200, manual clean-up for the ops team, and cancelled orders for customers. It undermines the goal of having a single view of stock.
Prevention / Action: The integration's process design must nominate one system, typically Seko, as the source of truth for 'available' stock and feed this back to Sage200. Inventory syncs should run at a frequency that reflects sales velocity, using delta updates (changes only) to minimise system load. A queueing mechanism for stock adjustments helps manage high-volume periods without failure.
Incomplete order data injection
Operational impact: Sales Orders from Sage200 fail to create fulfilment jobs in Seko due to missing or invalid data, such as a malformed postcode or an unrecognised delivery service code. The fulfilment team is unaware of the order until a customer service ticket is raised. This requires manual data correction in Sage200 and a re-export of the order, causing significant dispatch delays and eroding customer trust.
Prevention / Action: The integration's mapping logic must validate data and apply defaults for mandatory Seko fields before attempting to send the order from Sage200. An exception handling process should capture any failed Sales Orders, place them in a dedicated queue for review, and trigger an alert for the operations team. This containment prevents orders from becoming lost.
Dispatch confirmation failures
Operational impact: Seko transmits a dispatch confirmation, but the integration cannot update the corresponding Sage200 Sales Order because the record is locked by a user or another process. This leaves orders marked as unfulfilled in the ERP, blocking timely invoicing and giving the finance and customer service teams a false picture of the order backlog. It creates unnecessary manual reconciliation work to close out orders.
Prevention / Action: Implement a retry mechanism for posting shipment confirmations from Seko to Sage200. If an update fails due to record locking, the integration should wait for a defined interval and attempt the update again a set number of times. If still unsuccessful, the transaction must be parked in an error queue with a notification sent to an operational owner for manual resolution.
Master data and SKU mismatch
Operational impact: A new SKU is created and approved in Sage200, but the item master record is not synchronised to Seko before a customer places an order for it. The order injection from Sage200 into Seko then fails because the SKU is unrecognised by the warehouse system. This halts fulfilment for that order and any others containing the new SKU, requiring manual data setup in Seko and re-processing of all affected orders.
Prevention / Action: Establish Sage200 as the single source of truth for product master data. The business process for creating a new SKU must include an automated step that pushes the item record (including SKU, barcode, and dimensions) to Seko immediately upon creation in Sage200. This ensures the warehouse system has the data it needs before any order for that product can arrive.
Frequently asked questions
Where should we manage our master product data, in Sage200 or Seko?
Sage200 must act as the source of truth for all master item data, including SKUs, pricing, and descriptions. New products should be created in Sage200 to establish the definitive item record that flows to Seko. Creating item records directly in Seko risks causing data mismatches that lead to financial reconciliation errors at month-end.
Our sales channels show stock we don't have, causing overselling. How does this integration fix that?
This integration establishes Seko as the definitive source for physical stock levels, syncing this data back to Sage200 on a frequent basis. This ensures that the inventory count in Sage200, which feeds your sales channels, accurately reflects warehouse reality. This prevents you from selling a product that has just been allocated or dispatched by Seko but not yet reflected in the ERP.
How does a sales order get from Sage200 to the Seko warehouse team for picking?
Once a Sales Order is created and allocated in Sage200, the integration automatically sends that order data to Seko to generate a fulfilment request. Seko then manages the physical pick, pack, and dispatch workflow. This model cleanly separates financial management in Sage200 from the real-time warehouse operations happening in Seko, preventing process overlaps.
How does Sage200 know when an order has actually been dispatched by Seko?
When Seko confirms a shipment, it sends a dispatch confirmation message containing data like the tracking number back to the integration. This automatically creates the corresponding Despatch Note in Sage200 against the original Sales Order. A common failure point occurs if the Sales Order is locked by a user when the update arrives, so the integration must be designed to handle these temporary lockouts.
We are concerned the integration will be a 'black box'. How do we know if an order fails to sync?
This is a valid concern, as a failed order sync from Sage200 to Seko can halt dispatch. The integration provides visibility of exceptions, such as a Sales Order failing to generate a shipment request. This allows your team to quickly diagnose the root cause, for example a missing SKU on an underlying item record, and resolve it before the customer's delivery is delayed.