Case Study: Arçelik A.Ş. boosts spare-parts forecasting accuracy with Microsoft Cortana Intelligence Suite

Arçelik A.Ş. - Customer Case Study

Arçelik A.Ş., a major Turkish appliance manufacturer, faced a significant challenge in forecasting demand for its hundreds of thousands of spare parts. Their outdated, manual system was unable to scale, resulting in low forecasting accuracy and making it difficult to maintain optimal inventory levels to service customers quickly and cost-effectively. To address this, the company worked with vendor Microsoft Corporation and implemented a solution based on the Microsoft Cortana Intelligence Suite.

The solution, which uses Azure Machine Learning, Data Factory, and SQL Database, automated the forecasting process. By testing multiple algorithms against years of historical data, Microsoft's technology increased forecasting accuracy to 80%, up from 60%. This enabled Arçelik to forecast all 350,000 SKUs (up from 100,000) on a weekly basis, expecting a 10% boost in inventory turnover. The results include faster service calls, lower costs, and significantly improved customer satisfaction.

Arçelik A.Ş.

Burcu Aksoy

Spare Part Team Leader, Customer Care