For Optiply Seasonality is defined by the times when a particular product was ordered more frequently last year.

This could be tied to a specific season, like sunglasses being more popular in the summer and winter coats in the winter. It could also relate to specific holidays, such as party supplies being in higher demand during carnival season.

Optiply automatically detects these patterns and provides purchasing recommendations as these periods approach, eliminating much of the guesswork that logistics buyers often face.

The yearly seasonality factor lets you fine-tune how much influence last year's sales and the current trend have on your forecasts.

For instance, setting the factor to 1 means the forecast is based entirely on last year's sales (100%). A factor of 0.25 means the forecast will incorporate 25% of last year's sales data and 75% of the current trend.

You can adjust this factor to best suit your needs.