Statistical Forecast: Historical patterns are used by the Forecasting Engine to track seasonality, trend, baseline and cyclicality. This results in improved forecasting accuracy, lower inventory and improved customer fill rates.
Data Bridge: This feature connects the products that the customer actually buys which the myriad products that gets created in the ERP system.
Inventory Optimization: Finished Goods inventory can be right sized by considering Demand variability and Supply variability to arrive at the optimal safety stock numbers.
Multi Channel Reach: Mobile, Web and Tablet based integration ensures that the Sales person is enabled fully.
Re-Order Point Planning with Auto Replenishment: Reorder Point is automatically calculated based on historical consumption and lead time. An Auto-Replenishment Order is generated when the Re-Order Point is breached.