Statistical forecasting, Sell-In and Sell-Out forecasting and demand consensus in a single S&OP process. A governed, auditable consensus number, with measured accuracy (MAPE, bias) and continuous tuning — one that sales, marketing and operations truly deliver.
More than 15 years modeling demand and S&OP for industry and retail, from the statistical forecast to consensus across sales, marketing and operations. The forecast doesn't fall from the sky: we deliver the consensus process, the architecture and the governance that sustain it — with real day-to-day adoption.
A baseline generated by statistical models on the history, handling seasonality, trend and events — the clean starting point before any commercial adjustment.
Channel demand and end-consumer demand modeled together, separating real sell-through from inventory in the chain so you don't project an inflated order.
A single process integrating sales, marketing and operations, with each area's adjustments recorded on top of the baseline — traceable and comparable.
Accuracy measured by level and period, with bias and MAPE tracked over time to fix the process where it actually goes wrong.
A wrong forecast turns into dead stock on one side and stockouts on the other, working capital tied up and operations chasing orders that never close. When each area brings its own number, no one owns the error and the same argument repeats every month.
A well-built consensus process flips that: a statistical baseline, traceable adjustments from sales, marketing and operations, and measured accuracy that points to where to fix it. The gain isn't in the tool — it's in a single consensus number, governed and auditable, with a trail of who adjusted what, that sales, operations and finance deliver.
Statistical forecasting, Sell-In and Sell-Out, demand consensus or S&OP accuracy — tell us the context and we reply within 24h.