Forecast-to-decision design
We define horizons, granularity, update frequency and error costs from the downstream decision. A weekly inventory decision may need a very different forecast from a monthly finance plan or a daily staffing process.
SC-Analytics · Services
We define horizons, granularity, update frequency and error costs from the downstream decision. A weekly inventory decision may need a very different forecast from a monthly finance plan or a daily staffing process.
We compare statistical and machine-learning approaches against strong baselines using time-aware validation. We also expose uncertainty and segment performance so planners understand where the system is reliable and where judgment remains necessary.
Forecasts can feed replenishment, scenario planning, capacity or financial models through APIs, scheduled pipelines, spreadsheets or decision dashboards. The goal is a repeatable planning process, not a standalone model file.
We can review the current planning cycle, data and error costs and design the forecasting layer around the decisions your team already has to make.