Case Study: Global Science & Technology Company improves forecast accuracy and service levels with Aera Decision Cloud

Aera Decision Cloud™ improves forecast accuracy, time to market, and service levels

a major global science and technology company faced significant supply chain challenges. Its traditional, siloed planning system lacked actionable insights and the ability to blend data sets effectively. This led to high forecast errors, slow responses to demand shifts, and costly inventory issues. To build a more resilient and self-driving supply chain, the company sought a new solution and partnered with Aera Technology to implement the Aera Decision Cloud.

The solution from Aera Technology utilized machine learning and crawlers to centralize data from systems like SAP and JDA, drastically improving forecast accuracy and harmonization. This enabled the company to reduce inventory by 13.5%, cut waste by 3%, and significantly improve service levels to over 99%. The Aera platform also accelerated time to market and even contributed to a 3% sales growth by aligning the supply chain with actual customer demand.