Optimising inventory 2.0: demand patterns and product lifecycle.

The key points

  • Static reorder points aren't enough: demand patterns and product lifecycle keep changing the right planning.
  • Demand patterns (smooth, seasonal, sporadic) determine the forecasting method and the buffer size.
  • The product lifecycle requires carrying stock through introduction, maturity and phase-out.
  • Inventory 2.0 means: keeping parameters dynamic instead of setting them once and forgetting.

Why aren't fixed reorder points enough?

A fixed reorder point assumes constant demand. In reality it fluctuates: seasonally, with promotions, with the economy. A value that fits in winter leads to excess stock in summer. Dynamic planning means continuously updating the expected consumption from the forecast, instead of fixing it.

What does the product lifecycle change?

An article in introduction needs stock without history; here the estimate counts. In the maturity phase the classic formulas apply. In phase-out the logic reverses: instead of building buffer, you plan the sell-off, otherwise residual stock stays put. Anyone who ignores the lifecycle ends up building stock on exactly the articles that should disappear.

What does inventory 2.0 concretely mean?

Parameters aren't set once, but move along: forecast, safety stock and reorder point update with every new movement. That's not doable by hand, but the job of an inventory optimisation that computes per article nightly. The principle behind it is the three steps: forecast, optimisation, procurement.

A good test for the maturity of your planning: how quickly does your reorder point react to a dip in demand? If that takes quarters, you're still steering statically.

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