Demand planning
built for industrial
manufacturing
Anticipate raw-material supply, produce the right products in the right quantity, and ship to the right distribution center, while controlling transport cost and delivery time. A solid alternative to Excel and complex forecasting software.
Meet customer demand in a world of uncertainty
Industrial demand rarely moves in a straight line. Volatile inputs, rigid capacity and swinging orders all pull against your service level. SKU Science turns that uncertainty into a shared, defendable plan and not just a forecast.
- Volatile raw materials
Prices and procurement lead times keep rising and shifting, squeezing margins and threatening production continuity.
- Rigid production capacity
Long changeovers, minimum order quantities and fixed capacity make it costly to react to sudden demand swings.
- Erratic, seasonal demand
Promotions, seasonality and lumpy customer orders make a single naïve forecast impossible to trust.
Improve your demand-planning process
Backed by several published books, SKU Science pairs AI-driven forecasting with a well-defined, collaborative demand-planning framework. The engine proposes the baseline; your teams enrich it and own the final plan: that shared process is where accuracy really comes from.
A baseline forecast at your planning granularity.
Forecasts aren't limited to item level. Plan by item × customer, item × sales channel, item × country — whatever matches your S&OP. For each series, the engine picks the best-fitting model, every cycle.
Teams enrich it with field intelligence.
Your teams add what the data can't see, promotions, new customers, market signals, layering field knowledge on top of the baseline. Import external forecasts too, to compare them against the engine, side by side.
KPIs by forecast lag focus you on the right horizon.
Accuracy and bias are computed at each forecast lag (M+1, M+2, M+3…) and sorted automatically, so you focus on the horizon that drives your decisions. Forecast variability is tracked too, to flag the items whose forecast changed the most since the previous cycle.
Optimize your forecasts for what matters
Supply, production and distribution each commit at a different horizon. SKU Science compares your archived forecasts at the lag that matches each lead time, so accuracy is measured where the decision was really made.
Supply
Measure forecast accuracy at the lag matching your supply lead time, from archived forecasts, so raw materials are committed on a number you can trust.
Production
Measure forecast accuracy at the lag matching your production lead time, so you build the right products in the right quantity, on time.
Distribution
Measure forecast accuracy at the lag matching your distribution lead time, to control transport cost and delivery time.
Trusted by manufacturers and supply-chain teams
"The support from the team is first class despite being the other side of the world. On friday we sent all the data files to SKU Science and by the time Monday arrived to Australia it was all ready to go!"
"I find it rare these days to find product that not only do EXACTLY what it says it will do, but even exceed expectations. We reduced our overforecasting with roughly 60% since we implemented the tool about 5 months ago."
"Overall very satisfied. Delivered an accurate forecast in an easy-to-use format as promised. Incredibly pleased with the ability to pinpoint high-value items that were difficult to forecast and deserved a second look."
Run one cycle before you commit to anything
Upload your sales history with product reference data, and you get operational forecasts in two days: no ERP integration, no IT project. If the numbers don't convince your team, you walk away. Explore the demand planning platform or see pricing plans.
