Predictive reordering uses AI to optimize delivery timing based on each customer's actual consumption patterns. How prediction works: - Order history analysis - Usage pattern detection - Consumption rate calculation - External factors (seasons, events) - Similar customer behavior Prediction benefits: - Optimal delivery timing - Reduced stockouts - Less product waste - Improved satisfaction - Lower churn Data inputs: - Purchase frequency history - Product consumption rates - Household size - Seasonal variations - Customer feedback Implementation: - Track order patterns - Build consumption models - Suggest schedule adjustments - Proactive communication - Continuous refinement