Case study

Strategic Decision Making Model

Food & Beverage

With this end-to-end operational financial model our client has access to both production and sales forecasting helping them balance their production decisions with the levels of sales that they projected in the years ahead.


Our client is an ASX-listed whiskey and vodka producer that owns and operates a distillery and bottling facility in Victoria Australia. The company has created its own portfolio of iconic alcohol brands and sells bottled spirits and premixed drinks to bars and bottle-shop distributors.


The client needed a strategic decision-making tool for the operation of their rapidly expanding business. They also required financial projections that would support their investment pitch to brokers and the broader market for listing on the ASX. They required a detailed operational financial model that considered factors from all sides of the business including distillation, barrelling & maturation, bottling & canning and detailed international and domestic sales forecasting on a contract by contract basis.


We created an end-to-end operational financial model that included both production and sales forecasting. This allowed the client to balance their production decisions with the levels of sales that they projected in the years ahead. The tool was used to balance working capital levels and cash flow requirements for a product that can take over two years to mature. The tool was used for calculating:

  • Optimal production and working capital levels
  • Projected sales and cashflow
  • Domestic and international sales splits which have different taxation treatments
  • Varying margins on a product-by-product basis
  • Debt funding and repayments
  • Equity capital raising


Our client successfully listed on the ASX and included the financial projections of the model in their prospectus. The company used the tool to make various strategic decisions around pricing, production, working capital and sales. The ability to generate various scenarios and compare them against each other within the model proved very helpful to the client.

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