First, we clean up each product’s historical sales, flagging any stockouts, sales spikes, or sales peaks/dips.
Next, we establish a baseline sales velocity for each product. The baseline reflects the number of units expected to sell on a normal, uneventful day. We project this baseline into the future, adding in any sustained periods of high sales (peaks) that were detected in the historical data.
Finally, for products with at least one year of consistent sales history, we adjust the baseline to match past seasonal trends.
Learn more about what you can achieve and start forecasting your sales today.