This company was looking for visibility into their expected sales volumes for the next 10 years across Australia and New Zealand.
A global beverage company was looking for visibility into their expected sales volumes for the next 10 years, across categories and product lines in Australia and New Zealand. Without it, their category planning team struggle to align supply of the right products to consumer demand trends for the year ahead. Keeping up with shifting consumer preferences across product lines is critical to not only delivering good sales revenue, but also to planning, manufacturing, inventory and distribution targets, with millions of dollars of revenue on the line.
Datamine developed a predictive AI model that provides a realistic 10-year forecast of expected sales for the company’s range across Australia and New Zealand. Using multiple internal and external data sources to optimise predictive accuracy, the model provides a detailed prediction of units and sales value, which is broken down at category and product level. The forecast is refreshed annually to support annual category review and planning cycles.
The beverage company now has a reliable way to plan for future demand, enabling clarity and confidence around all business decisions, up to the board level. These accurate numbers feed into annual category planning and inventory management, reducing the risk of over-investing in the wrong product lines while ensuring consumer demand can be met in growth areas. This ensures sales revenues are optimised – essential for FMCG – and allows the business to scale regionally, with lower overall risk, and enjoy greater sustainability and predictability over time.
Looking for visibility over the next 10 years in your business? AI models suit a variety of sectors, providing clarity and confidence at the Executive level. Download our guide to AI and predictive modelling today.
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