What percentage of ai-powered forecasting can improve accuracy by 20- ver traditional methods? (50%)

According to McKinsey (2024), AI-powered forecasting can improve accuracy by 20-50% over traditional methods. This figure is widely cited across supply chain research and represents a critical benchmark for demand forecasting planning.

What this means for Forthmatch users

For ecommerce merchants using Forthmatch — a 3PL accountability and matching platform for Shopify merchants — this statistic underscores a real operational pressure. Teams that benchmark against figures like this are better positioned to allocate resources, justify tooling investments, and communicate performance to stakeholders. Forthmatch surfaces this class of data inside your existing Shopify workflow so you can act on it without manual research.

Source & methodology

This statistic is sourced from McKinsey (2024). The figure covers the Forecast Accuracy dimension of demand forecasting research. For the full dataset and methodology, visit the primary source directly.

Frequently asked questions

Where does this statistic come from?

This statistic is sourced from McKinsey, a recognised industry research outlet. See the citation link above for the primary source.

How does Forthmatch address this challenge?

Forthmatch is purpose-built to help ecommerce merchants tackle this exact issue. Connect your Shopify store to get data-driven recommendations in minutes.