History period
The history periodHistory periodThe window of past sales the forecast looks at. Either **Auto** (Logistified picks the optimal window per variant) or **Manual** (you pick a fixed range — last 30 days, last 90, last year, max, or a custom range). Read more → is the window of past sales the forecast looks at. It’s either Auto (Logistified picks the optimal window per variant) or Manual (you pick a fixed range). For beginners, switch to Manual + 90 days combined with the Average model. This removes hidden behavior and lets you sanity-check the suggestions against your gut.
On this page
Section titled “On this page”- Auto vs. Manual
- Manual presets
- Rolling (Past Year + Lead Time)
- Rolling vs fixed window
- Why beginners should pick Average + Manual + 90 days
- The recommended starter setup
- See also
Auto vs. Manual
Section titled “Auto vs. Manual”| Auto | Manual |
|---|---|
| Logistified picks the optimal window per variant. | You pick a fixed range, applied to every variant in the view. |
| The model gets the data it needs. | The math is fully predictable — you see what’s going into it. |
| Magic — hidden choice. | Transparent — visible choice. |
| Best once you trust the system. | Best while you’re learning. |
Manual presets
Section titled “Manual presets”When you switch to Manual, you can pick from these presets or define a custom date range on the calendar:
| Preset | What it does |
|---|---|
| Last 7 days | One-week window. Useful for fast-moving, high-volume variants. |
| Last 30 days | One-month window. Useful for monthly cycles. |
| Last 90 days | Three-month window. The recommended beginner default. |
| Last 6 months | Half-year window. |
| Last year | 365-day window. Useful when seasonality matters. |
| Max | Everything Logistified has on this variant. |
| Rolling (Past Year + Lead Time) | Past 365 days of history matched against the supplier’s lead-time window projected forward. The seasonal-planning preset. |
Beyond these presets you can also pick a custom start/end on the calendar.
Rolling (Past Year + Lead Time)
Section titled “Rolling (Past Year + Lead Time)”The one “smart” preset on the list. Its job is to align what you sold a year ago with the lead-time window you’re about to order for.
Mechanics:
- The history window is the past 365 days, ending today.
- The forecast horizon is your supplier’s lead time projected forward from today.
- As days pass, both windows roll forward together — so the comparison stays current.
Pick this preset when seasonality matters and your supplier lead time is meaningful (weeks or longer). For shorter lead times or non-seasonal variants, a fixed window like Last 90 days is usually clearer.
Rolling vs fixed window
Section titled “Rolling vs fixed window”A rolling window slides forward each day. “Last 90 days” always means the 90 days ending today, recomputed daily. The alternative is a fixed date range — start and end pinned to calendar dates, never moving.
Use a rolling window when you want a consistent recency. Use a fixed range when you want to lock the math to a specific period (for example, “compare to Q4 last year”).
Why beginners should pick Average + Manual + 90 days
Section titled “Why beginners should pick Average + Manual + 90 days”Two reasons:
- No hidden parameters. The Average model is “sum sales ÷ days.” That’s it. Nothing magical adjusts the result behind the scenes.
- A meaningful window. 90 days usually covers more than one sales pattern (you’ll see the recency of last month plus the rolling history from the two before), but isn’t so old it includes obsolete trends.
Once the suggestions match your intuition for 80% of variants, switch back to Auto. Auto will do better than your manual picks on most variants — but you’ll trust it because you’ve already tested the simple case.
The recommended starter setup
Section titled “The recommended starter setup”- Open the Forecast page.
- Click the Forecast settings button in the toolbar.
- Switch Model to Average.
- Switch History Period to Manual, then pick Last 90 days.
- Save as a view named “Beginner — Average 90 d.”
See also
Section titled “See also”- Forecast models — the other big lever in forecast settings.
- Automatic model optimization — the Auto side of model picking.
- Reorder suggestions — how history feeds reorder math.