INSC40303

3 credit hours. Prerequisites: Must be a declared Business major or by permission of department chair; grade of C or better in INSC 30313; concurrent enrollment in INSC 30313 is permitted. This course explores the critical role of predictive analytics in modern demand planning and management. Students will learn to develop and apply forecasting models that anticipate customer needs, align production and procurement decisions, and optimize supply chain performance. Topics include demand forecasting techniques, causal and time series modeling, inventory management, and translating insights into actionable plans.
The course emphasizes the integration of predictive analytics with demand planning processes to enhance inventory visibility, reduce variability, and improve responsiveness across the supply chain. Key conceptual areas include demand forecasting and management, synchronization of supply and demand, inventory planning and positioning, sales and operations planning (S&OP), and strategic order fulfillment.
Through hands-on exercises, students will gain the skills necessary to leverage analytics tools, interpret forecast accuracy, and drive data-informed decisions that improve supply chain agility and customer satisfaction.

Fall and Spring

Undergraduate

GRD - Graded

CORE - WEM (Writing Emphasis-TCUCC)