How Does My Open Order History Impact My Sales Prediction?

An open order is defined as an order placed by the customer which is under process and is yet to be fulfilled by the supplier. For effective analysis, open order data needs to be recorded daily in an ERP system. A minimum of twelve to eighteen months of open order history is required for your sales forecasting analysis and fine-tuning process. A shorter period could render unreliable and skew the results of your data analysis.

By |2019-04-13T23:09:09-04:00March 2nd, 2018|Demand Planning, Forecasting|0 Comments

What-if Wednesday: Seasonal Model Forecasting with Seasonal Methods

Seasonal method is a regression method that fits a linear trend along with sine and cosine curves. These sine and cosine portions of the regression can fit any seasonal deviations from the linear trend. Robust seasonal method also fits a trend along with sine and cosine curves, however this method uses linear programming to fit a seasonal series in a way that compared to the regular seasonal method is less likely to be thrown off by noisy values that depart from the trend or seasonality.

By |2019-04-13T23:09:23-04:00July 5th, 2017|Forecasting|0 Comments

How Does a Demand Forecast of Zero Impact Your Forecast Accuracy?

For most businesses that rely on demand forecasts for supply and capacity planning, improving demand forecast accuracy is critical. There are many methods to measure forecast bias and the accuracy of supply chain forecasts including using statistical methods like the Mean Absolute Percent Error or MAPE that we’ve discussed in our previous blogs.

By |2019-04-13T23:09:24-04:00June 20th, 2017|Forecasting|0 Comments

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