How does predictive AI help wholesale distributors in Australia?

Australian wholesale distributors operate at the intersection of supplier variability and customer demand unpredictability — a position that makes accurate forecasting both critically important and extremely difficult without AI. PresciaIQ's wholesale distribution implementations focus on demand forecasting, inventory optimisation, and customer intelligence. **Demand Forecasting at SKU Level** Wholesale distributors typically carry thousands to tens of thousands of SKUs across multiple warehouses. Manual forecasting at this scale is impossible — most distributors rely on simple moving averages or buyer intuition, leading to chronic overstock of slow movers and stockouts on fast movers. PresciaIQ's demand forecasting models analyse historical sales velocity, seasonality, customer ordering patterns, and external signals to generate SKU-level forecasts with 85–92% accuracy, reducing inventory holding costs by 20–35% and stockout rates by 40–60%. **Inventory Positioning Across Warehouses** For distributors operating multiple warehouses, optimal inventory positioning — which SKUs to hold at which location — is a complex optimisation problem. PresciaIQ's inventory positioning models analyse customer locations, order frequency, and delivery cost structures to recommend optimal stock allocation across the network. **Customer Churn and Wallet Share Prediction** Wholesale customers rarely announce they are switching suppliers — they simply reduce order frequency and volume before disappearing. PresciaIQ's customer intelligence models detect early signals of disengagement — declining order frequency, shrinking basket size, reduced SKU breadth — and alert account managers 60–90 days before churn occurs. **Freight and Carrier Optimisation** PresciaIQ's logistics intelligence models predict optimal carrier selection, consolidation opportunities, and delivery routing — reducing freight costs by 8–15% for distributors with complex multi-carrier networks.