Baseline forecast
Statistical forecast from cleaned sales history.
Every purchasing decision starts with a forecast. We build SKU-level demand forecasts by channel that account for seasonality, promotions and launches.

Demand planning is forecasting how much of each product your customers will buy, and when. A good forecast is the input for everything downstream: purchase orders, production, FBA shipments and warehouse staffing.
We start from your sales history by SKU and channel, clean out stockout periods that hide true demand, and layer in seasonality, planned promotions, price changes and launches. The result is a forecast with a realistic range, not a single hopeful number.
Each month we compare the forecast with actual sales, explain the gaps and adjust. Over time the forecast gets more accurate and your buying gets more confident.
Statistical forecast from cleaned sales history.
Lost-sales periods adjusted so true demand isn't understated.
Q4, Prime Day and holiday peaks modeled per SKU.
Planned events added on top of the baseline.
Forecasts for Amazon, DTC and wholesale separately.
Forecast versus actual, reviewed monthly.
Sales, stockouts, prices and promo calendars.
Baseline plus events, by SKU and channel.
Agree the forecast with your team.
Track accuracy and refine every month.
Where Q4 makes or breaks the year.
Planning around Prime Day and FBA capacity limits.
Needing a sensible first order quantity.
Ready for a repeatable process.
Demand planning is forecasting future customer demand for each product, using sales history and known events, to guide purchasing and inventory decisions.
Accuracy depends on history and volatility. We report forecast error every month and give a range so you can plan for both ends.
Yes, using similar products, market data and launch plans, then updating quickly as real sales arrive.
It feeds your inventory plan: reorder points, safety stock and purchase orders.
Tell us what you sell and how many orders you ship. A real person replies within one business day with a written quote.