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After a major sales spike like a 420 surge, a big promotion, or even a weather related rush, there’s a hidden downside. Your future forecasts can get distorted.
Now your system assumes that level of demand is normal.
Even the most advanced spreadsheet can’t help you intelligently remove that excess phantom demand.
That is where block out dates come in.
The Happy Buyers block out dates feature helps keep your forecasting accurate by excluding unusual sales events from influencing future demand.
Instead of letting one off spikes inflate your projections, you can flag those dates so they do not impact your data.
The setup is simple.
- You can create a block out date in your settings.
- You can name the event ex. 420 Holiday.
- You can select the relevant dates.
- You can apply it across all stores or specific locations.
- You can choose whether it repeats each year or happens once.
- Optionally you can target specific brands or categories.
This flexibility allows you to account for holidays, promotions, store closures, or unexpected surges.
The result is cleaner data, more accurate forecasts, and better purchasing decisions.
Because your everyday demand should not be defined by outliers.
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