Lion, the company behind Tooheys, XXXX, Little Creatures and Furphy, is quietly using specialised artificial intelligence to overhaul how it predicts what Australians will drink. Its new system has nearly doubled the accuracy of demand forecasts across beer, wine and spirits, a sharp jump for a sector where weather, events and shifting tastes constantly scramble supply plans.
The deal is understood to be a first in the beverage industry, as old-school modelling struggles to cope with global shocks.
For several years, Lion has been investing in its data assets, laying the groundwork for more advanced forecasting and decision tools. That foundation now underpins AI models built with OpenAI technology, which ingest sales, supply and market data to predict demand more precisely.
The system does more than forecast, it also suggests adjustments to production and distribution, helping Lion get the right mix of products into the right places. Traditional models that once shaped these decisions have become less reliable, particularly since disruptions linked to conflict in the Middle East scrambled shipping routes and costs.
The new AI tools give Lion a speed advantage as well as improved accuracy, compressing analytical cycles that used to take weeks or months into just a few days. Faster insights mean the company can tweak promotions, shift inventory and adjust brewing or bottling runs before issues escalate into stockouts or waste.
Responsiveness is critical in alcohol, where seasonal spikes, major sports events and changing consumer preferences can swing demand significantly from one week to the next. Lion’s leadership frames the project as the payoff from multi-year data investment rather than a quick experiment with trending technology.
Lion’s move signals how consumer goods companies may blend generative AI with traditional analytics to stabilise fragile supply chains. Beverage producers operate on tight margins, volatile input costs and perishable inventory, so even modest improvements in forecast accuracy can translate into substantial savings.
As global conflicts and logistics shocks keep undermining historic demand patterns, tools that adapt within days rather than quarters are becoming increasingly valuable. The key question now is how quickly rivals adopt similar systems and whether AI-driven planning becomes standard across the drinks industry.
