For DTC brands
Demand forecasting for DTC brands
Guessing next month from last month is how DTC brands both stock out and overstock at the same time. SpyGlass forecasts each SKU from real velocity and seasonality — and turns it into a plan.
In short: SpyGlass gives DTC brands per-SKU demand forecasting from actual sales velocity and seasonality, then connects the forecast to weeks-on-hand and replenishment so you order to real demand — not a gut guess.
The DTC forecasting trap
DTC demand is spiky: a promo, a creator post, or a seasonal swing throws off any last-month-times-a-factor guess. Forecast too low and your hero SKU sells out mid-campaign; too high and cash is stuck in a slow mover. SpyGlass forecasts each SKU from its actual velocity pattern so the number holds up.
Forecast → coverage → plan
- Per-SKU demand from real DTC sales velocity and seasonality
- Blends in Amazon and wholesale for a complete demand signal
- Drives weeks-on-hand coverage across your 3PLs
- Produces the reorder plan — quantity, timing, and freight
Frequently asked questions
How do you forecast demand for a DTC brand?
Start from per-SKU sales velocity, adjust for seasonality and channel mix, and express it as weekly demand you can plan coverage against. SpyGlass automates this and feeds it into replenishment. See our step-by-step guide.
How much history do I need?
Even a few months of sales velocity produces a usable forecast; accuracy improves as history grows.
Can it handle promo spikes and seasonality?
Yes — it forecasts from your actual velocity patterns rather than a flat last-month number, so seasonal and promotional swings are reflected.
See your stockouts and dead stock before they cost you
Book a 30-minute call. We'll map your channels, FCs, and SKUs live and show where cash is trapped and where you're about to run out.
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