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AI Demand Sensing & Allocation

Demand signals rise across Melbourne suburbs. The model senses the trend, forecasts next-week demand, then reallocates limited inventory and flags which store to replenish.

Controls

60%
–
Projected fill rate

Suburb demand signals

Inventory allocation

About this tool

AI Demand Sensing & Allocation

The concept

Demand sensing uses recent granular signals to correct the forecast, then allocates scarce stock.

How it works

Short-horizon signals adjust the baseline; allocation ranks channels by service and margin.

Winning strategy

React to real signals, not noise - and allocate to where shortage hurts most.

sensed forecast = baseline x signal adjustment
Demand sensingAllocationForecast accuracyService level
Core idea: Demand sensing