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Wayam AI
HealthcareProcurementRepresentative scenario

Sizing Safety Stock Against Real Supplier Lead-Time Variability

A distributor sets safety stock from nominal supplier lead times published in the ERP, which bear little relation to actual delivery performance.

Run on Sanchay · Supply Chain Resilience

A buffer sized against arrival times that scatter rather than repeat

The challenge

    01

    Nominal lead times understate real variability, so safety stock is systematically too low for unreliable suppliers.

    02

    Reliable and unreliable suppliers are buffered identically, tying up capital where it is not needed.

    03

    Nobody measures delivered lead time, so the nominal figures are never challenged.

How Sanchay solves it

    01

    Delivered Lead-Time Measurement

    Actual order-to-receipt times are measured per supplier and per SKU rather than taken from the ERP field.

    02

    Variability Profiling

    Each supplier's reliability is profiled as a distribution, not a single number.

    03

    Differentiated Buffering

    Safety stock is sized against each supplier's measured variability, so reliability is rewarded with less buffer.

    04

    Supplier Feedback

    Measured performance is made available for supplier conversations and contract review.

    05

    Continuous Recalibration

    Buffers are recalculated as supplier performance changes rather than annually.

The outcome

  • Safety stock sized against measured rather than nominal lead times.

  • Working capital released where suppliers are demonstrably reliable.

  • Supplier performance measured and available for contract discussions.

Representative scenario: a modelled industry situation showing how this accelerator applies. Figures are projections, not a named client result.

Capabilities used

Every accelerator is assembled from the same capability layer, so a workflow you adopt here shares its foundation with the rest of the portfolio.

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