What is predictive analytics?
Predictive analytics is an advanced data analysis method that uses statistics, mathematical modeling and machine learning algorithms to predict future phenomena, trends or behavior. Its goal is to identify patterns in historical data and create models to predict likely outcomes, support decision-making processes and optimize business operations.
Applications of predictive analytics in the food industry
In the food industry, predictive analytics is used, among other things, to forecast demand, optimize the supply chain, monitor product quality, anticipate changes in raw material prices and increase production efficiency. It allows companies to react faster to changing market conditions, reduce risks and improve the profitability of operations.
