Refine the short-term forecast by focusing on the most recent weeks and limiting further impact within a determined horizon.
Request a free demoThis feature is designed for companies managing perishable products and operating with weekly planning cycles. By prioritising the behaviour of the most recent weeks in the forecast calculation, it provides a more accurate and up-to-date view of demand, helping to prevent issues such as excess inventory or stock shortages.
The ability to adjust forecasts based on recent demand patterns enables a faster response to sudden changes in demand, improving the company’s capacity to meet market needs in a timely and efficient manner.
In addition, by limiting the impact of historical data to a defined time horizon, the feature helps mitigate the effect of past fluctuations that may no longer reflect the current market situation. This ensures that forecasts are based on relevant and recent data, increasing planning accuracy and reducing inventory imbalances.
Technical sheet
| Version: | 1.0 |
|---|---|
| Last update: | 01/12/2023 |
Allows to dynamically adjust the forecast calculation, giving more weight to the behavior of the last weeks to better reflect the current demand.
Assign how much horizon you want to be affected by the adjustment, allowing for short and long-term planning.
Designed for efficient demand management in dynamic and changing environments.