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Modules/Commerce/Sales forecasting

Tomorrow's sales.
Known today.

Demand forecasting per product, based on your own history, the season and your planned campaigns. So purchasing, budget and staffing add up.
See pricing

Part of the Commerce modules · runs on your own data

Revenue forecast chart: actual revenue, expected line with range and markers for Black Friday and Sinterklaas.
What's included

Forecasting with your data, not with a crystal ball.

Forecast per product

Expected sales per SKU per week, with a confidence range — not an average across your whole shop.
  1. Sales velocity per SKU per day
  2. Expected demand per SKU until delivery
  3. Ten SKUs calculated for this supplier
AI purchase proposal for a supplier with the diagnosis per SKU: sales velocity, expected demand, trigger level and reason.

Season & holidays

BBQ season, Sinterklaas, Black Friday — the model knows the Dutch calendar.
  1. Black Friday as a peak in the forecast
  2. Sinterklaas counts as a peak day
  3. Weather and holidays weighted per day
Revenue forecast chart: actual revenue, expected line with range and markers for Black Friday and Sinterklaas.

Campaigns count too

Planned ads and promotions are factored into the forecast.
  1. Black Friday in 8 days: raise budget
  2. Apply the advice and track what was done
  3. Search demand rising: raise Google budget
Sales forecast with expected revenue for 30 days, the range and four recommended actions based on weather, confidence, search demand and Black Friday.

Scenarios

What if you put in 20% more ad budget? See the effect on demand and stock needs beforehand.
  1. Change your target ROAS
  2. Recommended ad spend updates instantly
  3. Expected revenue and spend per week
Next 14 days with a daily score based on weather and holidays, next to the budget recommendation with target ROAS and weekly overview.

Neura AI explains

No black box: every forecast states why — trend, season or campaign.
  1. Reason per day: bad weather lowers demand
  2. Black Friday: 3.0× higher revenue expected
  3. Total factor per day from weather and holiday
Next 14 days with a daily score based on weather and holidays, next to the budget recommendation with target ROAS and weekly overview.

Export for purchasing

Reorder proposals as a list for your supplier, or passed straight to the Inventory module.
  1. Calculate the order proposal per supplier
  2. Shortfall per SKU becomes the order line
  3. Number of SKUs that need ordering now
AI purchase proposal for a supplier with the diagnosis per SKU: sales velocity, expected demand, trigger level and reason.
app.neuramerce.com/modules/inventory/suppliers/[id]Your dashboard
AI purchase proposal for a supplier with the diagnosis per SKU: sales velocity, expected demand, trigger level and reason.
Revenue forecast chart: actual revenue, expected line with range and markers for Black Friday and Sinterklaas.
Sales forecast with expected revenue for 30 days, the range and four recommended actions based on weather, confidence, search demand and Black Friday.
Next 14 days with a daily score based on weather and holidays, next to the budget recommendation with target ROAS and weekly overview.
Next 14 days with a daily score based on weather and holidays, next to the budget recommendation with target ROAS and weekly overview.
AI purchase proposal for a supplier with the diagnosis per SKU: sales velocity, expected demand, trigger level and reason.

One forecast, three decisions.

The same forecast steers your purchasing, your ad budget and your content calendar. That only works if everything lives in one system.
  • Inventory — the forecast becomes purchasing advice automatically, with lead times per supplier.
  • Advertising — shift budget towards products where demand is coming — not chasing after it.
  • SEO Manager — publish content before the seasonal peak, not after it.

Want to see how it works with your shop?

In 20 minutes we'll show you the module with your own shop as the example.
See pricing
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