Close the Gap Between Supply and Demand to Reduce Lost Sales and Excess Stock
As a retailer, you have the challenge of closely aligning supply with demand. Forecasting your customers’ buying patterns for thousands of items at multiple stores and distribution centers is not easy and every miscalculation leads to either reduced prices or lost sales.
With CatalystConnect™ 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.
The system reduces the complexity associated with demand forecasting, inventory planning and replenishment tasks by automating forecast-to-replenishment processes. By analyzing the level of demand at point-of-sale, the system uses advanced statistical techniques to quantitatively determine the impact of past promotions and define the forecast for the underlying level of demand. Demand Management identifies the causal factors that drive your demand and models future sales more effectively based on those factors.
Key system features include:
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Creates highly accurate forecasts based on not only what has been historically sold, but also on what would have been sold, had the right stock been available. |
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Fine-tunes the forecast down to SKU level. Processes all the historical sales data against sophisticated statistical algorithms that are able to determine the model that most accurately fits the data. |
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Applies special data such as lost sales, stockouts and causal factors such as price changes, competitor activity, promotions, seasonality, weather, product life cycle milestones and public holidays to determine the “best-fit” model used to provide a forecast. |
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