predictive Demand Forecasting: ML algorithms can analyze historical data on food consumption patterns, seasonal variations, and other factors to predict future demand accurately. This helps food suppliers, distributors, and retailers optimize inventory levels, reducing overstocking and minimizing food waste due to spoilage.
predictive Demand Forecasting: ML algorithms can analyze historical data on food consumption patterns, seasonal variations, and other factors to predict future demand accurately. This helps food suppliers, distributors, and retailers optimize inventory levels, reducing overstocking and minimizing food waste due to spoilage.