What topics will be covered in the webinar?

AI-Driven Demand Forecasting and Inventory Optimization for Manufacturers
In the fast-paced world of heavy equipment, truck and rail manufacturing, the integration of Artificial Intelligence (AI) and Machine Learning (ML) into demand forecasting and inventory tracking is transforming industry standards.
These advanced technologies offer predictive analytics; enabling supply chain and logistics teams to forecast stock in production and optimize spare parts inventory in uptime with unprecedented precision.
This not only minimizes downtime but also significantly reduces costs associated with excess inventory or emergency procurement.
Learn how to strike a delicate balance between overstocking, which ties up capital and storage space, and understocking, which can lead to costly delays and unproductive vehicles. Altair will explain how your organisation can:
This webinar will unveil Altair’s pioneering AI/ML-driven solution, designed to tackle the inventory optimization challenges faced by today’s modern OEMs.
Leveraging advanced AI/ML algorithms, our solution excels in managing complex, large datasets, recognizing patterns, and adapting to dynamic conditions.
Discover how Altair’s innovative approach to inventory optimization:Watch this webinar to learn how our AI/ML-powered solution can transform your inventory management and set your business up for success.
Director: Data Analytics for the Heavy Equipment Truck and Rail industry
Altair
Mark Burns is based in Greater Boston, from where he leads global business development, strategic positioning, and field engagement. Mark leverages his expertise in data analytics technology to drive innovation and efficiency within the industry.
Senior Solutions Specialist
Altair
Joseph Alvarez has over 15 years of experience in data analytics, focusing on heavy equipment, truck, and rail industries. With a distinguished background as a former US Navy Pilot and USC Professor, Joseph brings a unique blend of technical acumen and strategic insight to his role, with experience working advanced projects across fleet operations.