Traditional ordering and replenishment methods inevitably lead to miscalculations, leaving you holding too much of what customers do not want and too little of what they do. The unfortunate result is reduced prices, bloated inventory and lost sales.
Through the optimization of business processes and the deployment of CatalystCommand Demand Management, an automated forecast-to-replenishment system, you can close the gap between supply and demand to reduce lost sales, recover profit from inventory and significantly increase your cash flow.CatalystCommand Demand Management is a point solution for retailers that leverages data from your existing ERP or transaction system to provide advanced functionality in the form of demand forecasting, inventory planning and replenishment. The system reduces the complexity associated with these tasks by transforming the existing ordering practices into a completely automated forecast-to-replenishment process (automated replenishment is optional). By analyzing the level of demand at point-of-sale, the system uses advanced statistical techniques to: Quantitatively determine the impact of past promotions; Define the forecast for the underlying level of demand for the purpose of modeling the increased demand associated with promotional activity; Identify causal factors that drive your demand and model future sales more effectively based on those factors; Constrain your forecast based on extensive product capabilities, Ascertain which and where stock is required to improve availability, eliminate waste and avoid unnecessary markdowns; Ensure that historically poor planning does not affect future demand forecasts. The system transforms planning and buying by creating highly accurate forecasts - based on not only what has been historically sold, but on what would have been sold had the right stock been available. The software identifies the best way to distribute the stock to each location and dynamically recommends replenishment strategies by iteratively evaluating actual sales data and readjusting the forecast for individual items. Dynamic control over replenishment allows for lower safety stock levels without sacrificing service levels.