Celsius distribution network

Celsius was scaling faster than its distribution footprint was designed for. Our team was asked to design a distribution network that could carry that growth without the cost base growing with it — which meant deciding where product should be made, where it should be held, and which of those decisions actually moved margin.

• Built demand forecasts as the foundation of the model, so every downstream network decision was tied to a volume assumption we could defend rather than an average.
• Evaluated production capacity against forecast demand to find where the network would bind first, and what that constraint cost in service or in freight.
• Weighed sourcing trade-offs explicitly — the cheaper source is not always the cheaper decision once capacity, distance and reliability are priced in.
• Layered financial projections over the operating model so the financial consequences were visible in the same view as the physical network, not in a separate deck.

• A distribution network design carrying $20 million in projected profitability.
• A model where the profitability figure is traceable back to its demand, capacity and sourcing assumptions — so a reviewer can challenge the input rather than the conclusion.
• A clear articulation of which trade-offs actually mattered, which is usually the more durable output of a network study.

• Excel modeling
• Demand forecasting
• Financial projection
• Capacity analysis
• Quantitative analysis