SnapFulfil WMS and Inventory Management
Integration Agency & Consultants
Intelligent Consulting
Detailed Solution Design
Smooth Integration
Visibility
Training
BigCommerce
Common failures
Inventory latency causing overselling
Operational impact: When inventory updates from SnapFulfil are delayed, the Inventory Management system presents stale data to sales channels. This directly causes overselling, where Sales Orders are created for stock that is no longer available. The fallout hits multiple teams: customer service handles complaints, operations manages the failed Item Fulfilments, and merchandising may have to adjust forecasts based on unreliable data.
Prevention / Action: The integration must treat SnapFulfil as the definitive source of truth for stock levels. Prioritise a near-real-time event-driven approach for stock updates where possible. Supplement this with a scheduled, periodic full inventory reconciliation to catch any discrepancies and ensure both systems are reset to a consistent state, preventing drift over time.
Mishandling of non-saleable stock
Operational impact: SnapFulfil often manages multiple stock categories, including damaged, quarantined, or reserved items. If the integration simply sums up all stock for a SKU, the Inventory Management system will report inflated 'available-to-sell' levels. This leads to promised orders that cannot be fulfilled, creating 'short picks' in the warehouse and requiring manual intervention from the operations team to resolve exceptions.
Prevention / Action: The integration logic must be configured to recognise and map SnapFulfil's different stock locations or status codes correctly. Only stock in 'pickable' or 'good stock' locations should be synchronised as the available-to-sell quantity in the Inventory Management system. All other quantities, such as returns or items under inspection, must be explicitly excluded from this calculation to maintain accurate channel availability.
Inaccurate fulfilment status on partial shipments
Operational impact: If an order is shipped in multiple consignments, a basic integration might incorrectly mark the entire Sales Order as fulfilled after the first partial dispatch. This can trigger premature final invoices from the finance system and cause incorrect shipping notifications for customers. The customer experience team then spends time handling queries about missing items, while finance must manually adjust associated journal entries.
Prevention / Action: Ensure the integration is designed to handle partial fulfilments by referencing specific line-item data. The process must allow for multiple Item Fulfilment confirmations from SnapFulfil to be posted against a single Sales Order in the Inventory Management system. The operational process for invoicing and customer notifications should only be triggered by the full fulfilment of all order lines, or be configured to handle part-shipped states explicitly.
SKU master data discrepancy
Operational impact: When a SKU exists in the Inventory Management system but not in SnapFulfil, or vice-versa, order processing fails. Sales Orders containing the mismatched SKU become stuck, halting fulfilment and requiring manual data correction by the operations or data management teams. This often becomes critical with kits and bundles, where the parent SKU in the IMS does not match the component SKUs held in the WMS, making true availability impossible to calculate.
Prevention / Action: Define a single system of record for creating and managing product and SKU master data. The integration process must ensure that new SKUs are synchronised from the master system to the target system before any related transactions (like Sales Orders or inventory adjustments) can be processed. Implement an exception-handling workflow that quarantines orders with unrecognised SKUs and notifies an operational team to resolve the data gap.
Frequently asked questions
Which system should be the source of truth for our stock levels?
In this operating model, SnapFulfil WMS is the definitive source of truth for physical, fulfillable inventory, tracking every stock movement from goods-in to despatch. Your Inventory Management system consumes this data to provide an accurate, aggregated view for planning and publishing availability to sales channels. This ensures decisions are based on what is physically in the warehouse, not just what the books say.
How does the integration handle stock discrepancies found during picking?
This is a critical workflow that the integration must govern. When a warehouse operative flags a 'Short Pick' in SnapFulfil because an item is missing, the integration should immediately update the inventory level for that SKU in the Inventory Management system. If this sync fails or is delayed, your IMS will continue to show stock that isn't physically available, leading directly to overselling.
What happens if the main inventory sync from SnapFulfil fails?
Many integrations rely on a periodic, full inventory snapshot from SnapFulfil to true-up the Inventory Management system. If this sync fails or the data is not correctly reconciled, the two systems will diverge, creating a risk of overselling old stock or hiding new stock. The integration must include robust error handling to re-run the sync and alert operators to any discrepancies in the total stock value.
How are partial shipments from the warehouse reflected in our main inventory system?
Handling partial shipments requires precision. When SnapFulfil despatches part of a Sales Order, it must generate a fulfilment record specifying exactly which SKUs and quantities have shipped. Your Inventory Management system must then use this to correctly reduce stock for only the fulfilled items, ensuring the remaining items on the order are accurately tracked as still awaiting despatch.