Built for Supply-chain, planning and finance leaders carrying excess inventory in some lines and stockouts in others.
Current forecast accuracy is measured honestly, by segment, to establish what good would mean.
Demand is modelled with the signals that matter - seasonality, promotions, price, external drivers.
Forecasts flow into planning with planner overrides captured, reasoned and learned from.
Accuracy is tracked live by segment, so degradation is caught and corrected, not discovered at quarter end.
Indicative ranges drawn from comparable engagements, measured against a pre-AI baseline. Your figures are set and tracked from your own data during delivery.
Every engagement hands over working software in your repositories, with the evidence to run and audit it.
No. Planners keep the override, but every override is captured with its reason and measured against outcome. Over time this shows where the model is weak and where human judgement genuinely adds value, rather than hiding both.
Against a pre-AI baseline measured by segment, with accuracy tracked live. The benefit is reported as a working-capital line, not a model-accuracy chart, so finance can see the return.