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How are inaccurate stock levels handled?

How are inaccurate stock levels handled in Hardis OMS?

Inaccurate stock levels are a common challenge in omnichannel retail. Hardis OMS addresses this in two ways: proactively and reactively. Inaccurate stock levels can be handled in two ways: proactively and reactively.

Proactive handling of inaccurate stock

Hardis OMS uses its AI-driven Smart Allocation Manager (SAM) to continuously evaluate fulfilment performance.

Fulfilment locations with unreliable stock accuracy are identified as less suitable and will automatically receive fewer order allocations. This reduces the risk of mispicks and cancellations before they happen.

Additional proactive measures include:

  • Performance reports highlighting locations with high mispick rates

  • In-store app functionality to correct stock levels quickly

  • Data-driven insights to adjust safety stock thresholds per location or product

This approach helps retailers improve stock accuracy over time while protecting customer experience.

Reactive handling of inaccurate stock

If a fulfilment location cannot fulfil an allocated order due to stock inaccuracy, Hardis OMS applies predefined business rules automatically.

Depending on configuration, the system can:

  • Reallocate the order to the next best fulfilment location

  • Cancel the order line or full order and trigger a refund if prepaid

  • Initiate a back-order process

In all scenarios, customer communication is automated and aligned with the relevant sales channel.

This ensures issues are resolved quickly, with minimal operational disruption and full transparency for the customer.

Ready to take your next step in order management?

Book a demo to try OIL for yourself, or download the OIL info sheet.