The Demand Forecasting Accuracy Report 2026 compares the performance of DemandForecast.ai against existing statistical, consensus, or manual forecasting methods. The analysis covers 15 live deployments conducted between 2022 and 2026, where the AI solution consistently demonstrated lower error rates than incumbent systems.
According to the report, the average relative error reduction across all 15 deployments reached 32%. The benchmark utilized each company's specific internal metrics to evaluate accuracy, rather than relying on surveys or standardized industry benchmarks.
The study includes data from several companies that authorized the disclosure of their results, such as Kenvue, Dorman, Mars, Nucor, Nanit, and CAA Club Group. The full report, which details the methodology and limitations, is accessible through the official DemandForecast.ai resource portal.
DemandForecast.ai operates using a predictive engine developed by Pecan AI. The platform focuses on building and maintaining forecasting models based on a company's historical data, beginning with an initial proof of concept phase to validate performance.
