Proof
/ Supply Chain & LogisticsLogistics Optimisation as a Data Journey Enabler for a Global Building Materials Company
QR/OS™ Layers
QR/OS™ Blocks
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→ Capability pageBusiness situation
A global building materials and sustainable solutions leader with a logistics function under pressure to unlock operational efficiency and lacking established AI/data capability.
The challenge
No scalable data architecture, no internal AI capability, and no freight optimisation models meant that significant cost-reduction opportunities in logistics remained uncaptured.
Why it matters
Quantum Rise executed a three-phase programme: value discovery, capability and architecture build, and product development — transforming isolated models into an integrated decision platform.
What Quantum Rise delivered
The QR/OS™ approach in practice
- • 24 analytical initiatives designed in Phase 1 • Scalable data architecture (Data Lake + pipelines) • Governance, data engineering, and ML deployment practices • Freight Should Cost Model • Rule-based approval engines • Route clustering analysis • Insight Studio methodology for adoption and value tracking
Directional outcome
Increased sales conversion. Improved pricing accuracy and profit. Real-time insights for freight operations.
What became repeatable
A phased logistics analytics capability-building programme: data lake + governance + Should Cost + clustering + adoption — reusable as a multi-year data journey template for any large-scale logistics or supply chain operation.