Proof
/ ManufacturingInventory Optimisation Solution for a Leading Building Materials Company
Business situation
A $3.5 billion building materials conglomerate facing inventory shortages and stockout volatility exacerbated by COVID-19 demand disruption.
The challenge
Legacy forecasting tools lacked the responsiveness to anticipate disruptions at a week-ahead horizon and trigger coordinated chain-reaction responses across distribution centres and SKUs.
Why it matters
Quantum Rise consolidated 2 years of supply chain data from 10 sources, built gradient-boosting ML models to predict stockouts per DC/SKU combination, and delivered a weekly stockout propensity map to prioritise fulfilment actions.
What Quantum Rise delivered
The QR/OS™ approach in practice
- • 2-year supply chain data consolidation from 10 sources • Gradient-boosting ML model for stockout prediction (per DC/SKU) • Weekly stockout propensity map • Prioritised action framework for chain-reaction fulfilment decisions • Capital redeployment guidance based on optimised inventory levels
Measurable outcome
80% accuracy predicting stockouts one week in advance.
Optimised inventory levels by redeploying capital. Sales increase by minimising stockouts and increasing order fill rate.
What became repeatable
A reusable stockout prediction and propensity mapping system: gradient-boosting model + weekly ranking algorithm applicable to any multi-DC, multi-SKU distribution operation.