Demand Forecast Accuracy Analysis

Service Overview

This service compares historical forecasts with actual demand using consistent periods, product groupings and forecast horizons. It examines error and bias, showing where forecasting performance varies and where data or exceptional events complicate interpretation.

Key Objectives

• Quantify historical forecast error and bias, identify differences across relevant segments and clarify the effects of aggregation, forecast timing and unusual demand events.

Approach & Methodology

We align archived forecast versions with actual demand and agreed evaluation windows. Suitable accuracy and bias measures are calculated by product or group, with exceptions, low-volume effects and changes in the demand definition documented in the findings.

Expected Outcomes & Value

Planning teams receive a transparent view of forecast performance, enabling more informed discussion of uncertainty and service assumptions without confusing aggregate accuracy with reliable item-level predictions.