Challenge

Supply & Demand Planning

The challenge

Balancing supply and demand is one of the hardest challenges in complex organisations. From matching production capacity to uncertain consumer demand, to aligning rig fleets with drilling plans, to allocating operating rooms and hospital beds, the stakes are high and the cost of imbalance is significant.

Challenge

Supply & Demand Planning

The challenge

Balancing supply and demand is one of the hardest challenges in complex organisations. From matching production capacity to uncertain consumer demand, to aligning rig fleets with drilling plans, to allocating operating rooms and hospital beds, the stakes are high and the cost of imbalance is significant.

Challenge

Supply & Demand Planning

The challenge

Balancing supply and demand is one of the hardest challenges in complex organisations. From matching production capacity to uncertain consumer demand, to aligning rig fleets with drilling plans, to allocating operating rooms and hospital beds, the stakes are high and the cost of imbalance is significant.

Why it's complex

Uncertain demand and supply

Market shifts, seasonal patterns, and operational constraints can change forecasts overnight.

Strict rules and dependencies

Resource and supply chain limits, contractual obligations, and sequencing requirements create a tightly constrained puzzle.

Iterative scenario planning

Traditional methods rely on iteratively testing assumptions and making manual adjustments, leaving blind spots and limited confidence.

Why it's complex

Uncertain demand and supply

Market shifts, seasonal patterns, and operational constraints can change forecasts overnight.

Strict rules and dependencies

Resource and supply chain limits, contractual obligations, and sequencing requirements create a tightly constrained puzzle.

Iterative scenario planning

Traditional methods rely on iteratively testing assumptions and making manual adjustments, leaving blind spots and limited confidence.

Why it's complex

Uncertain demand and supply

Market shifts, seasonal patterns, and operational constraints can change forecasts overnight.

Strict rules and dependencies

Resource and supply chain limits, contractual obligations, and sequencing requirements create a tightly constrained puzzle.

Iterative scenario planning

Traditional methods rely on iteratively testing assumptions and making manual adjustments, leaving blind spots and limited confidence.

How WhiteSpace helps

WhiteSpace applies AI-assisted optimisation to turn this complexity into clarity. Our tools explore hundreds of thousands of scenarios in hours, revealing robust plans that align supply and demand even as conditions change.


This approach has helped companies cut planning time from months to weeks, reduce under- or over-allocation of resources, and unlock multi-million-dollar efficiencies - from brewery capacity strategies and LNG portfolio planning to hospital operating room and bed allocation. By surfacing the best strategies and quantifying trade-offs, we give decision-makers the confidence to act quickly and invest wisely.

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Want to learn more about this challenge? Get in touch and ask for a demo.

Want to learn more about this challenge? Get in touch and ask for a demo.

Want to learn more about this challenge? Get in touch and ask for a demo.

Want to learn more about this challenge? Get in touch and ask for a demo.