Manufacturing
SKU-level demand forecasting models that account for seasonality, promotions, and external signals — improving production and procurement planning accuracy across the product range.
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Industry overview
Time-series and machine learning models that forecast product demand by SKU, channel, and geography — providing production and procurement planners with accurate forward-looking demand signals.
At a glance
Demand planning errors cascade through a manufacturing operation. Over-forecast and you produce to stock that ties up capital and ages. Under-forecast and you expedite production at premium cost or miss customer commitments. Static seasonal adjustments applied to ERP histories are not sufficient when demand is shaped by promotions, competitor moves, and macroeconomic shifts.
We build SKU-level demand models that combine sales history with promotional calendars, external economic signals, and customer ordering patterns. Seasonal decomposition separates trend, cycle, and irregular components for more accurate baseline forecasts. Automated forecast review workflows present planners with model-generated proposals and flag high-uncertainty SKUs for manual review. Forecast accuracy monitoring tracks MAPE and bias over time so models are retrained before performance drifts.
Key capabilities
Engagements are scoped to your business context — these are the core capabilities we bring to manufacturing clients.
SKU-level demand models across product range and geography
Seasonal, promotional, and event lift modelling
External signal integration (economic indicators, competitor data)
Automated forecast review workflow for demand planners
Forecast accuracy monitoring (MAPE, bias) with retraining triggers
ERP and WMS integration for plan-to-actual comparison
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