Professional Services
Professional Services Firm
Full Credential Description
A global semiconductor manufacturer faced significant challenges in managing demand across various international markets as it sought to support clients in transforming the power grid and building out the digital world. The company recognized that automating demand forecasting was essential for optimizing its production and logistics planning. With around 30,000 items to order and a team of 100 supply chain professionals frequently adjusting forecasts, the goal was to minimize manual labor while maintaining forecast accuracy.
To address this, the AI and Industrials teams developed a tailored methodology for enhancing the forecasting process. They created a demand forecasting model with a six-month time horizon, utilizing internal historical data and advanced machine-learning techniques. Additionally, a strategic long-term demand forecast was established, extending up to 18 months, which incorporated both external and internal data sources. The automated forecasting system proved to be both precise and robust, leading to a significant transformation in the company's operations.
As a result of the implementation, the company achieved an impressive automation of 80% of its product demand forecasts and realized a 75% reduction in manual workload, all while ensuring the accuracy of the forecasts remained uncompromised. This solution has now become an integral part of the company's Sales and Operations Planning (S&OP) process, allowing for greater efficiency and effectiveness in managing supply chain demands.