COMPANIES INTEGRATING A I INTO SUPPLY CHAIN OPERATIONS REPORTED A

REDUCTION IN LOGISTICS COSTS

a forecast for something with no history.” Yet by training models to detect emerging patterns, Southern Glazer’ s aims to stay ahead of evolving preferences, particularly as younger generations reshape the market with changing expectations.

The next era of demand prediction As the pace of technological change accelerates, the future promises a major shift in how forecasting is approached in the alcohol distribution sector.

Diego envisions a system where forecasting becomes largely autonomous – what he calls a“ touchless forecasting process.” In this future model, human input will still play a role, but it will come at the start of commercial planning rather than being used to retroactively adjust figures to meet goals. AI will do the heavy lifting, constantly scanning the web for emerging consumption trends, analysing data in real time and shaping forecasts without manual interference.

He anticipates a setup where commercial teams will focus on pricing strategies and planning event-driven campaigns to influence demand, while the AI generates the forecast entirely based on up-to-date information. These forecasts won’ t be static

74 July 2025