Transform Your Supply Chain with Advanced Demand Planning Solutions | QueBIT

Are you facing challenges in optimizing your supply chain due to inefficient demand planning? Do these hurdles impact your business's operational efficiency and financial performance? 
 
In this webinar, you'll uncover how integrated demand planning can revolutionize your supply chain management. We will dive into the common challenges businesses face, such as siloed financial and operational planning, reliance on inefficient tools, and the lack of coordination across different planning processes. Discover how adopting Extended Planning and Analysis (XP&A) can bring together operational and financial planning in a cohesive manner. We will demonstrate how effective demand planning forms the core of supply chain operations, impacting everything from supply planning to price optimization and inventory management.
 
Our session will offer a deep dive into advanced forecasting techniques, emphasizing seasonal decomposition to improve forecast accuracy and clarity. Learn how integrating causal factors can significantly enhance forecast precision and the importance of unbiased model assessment through holdout forecasts. Real-world case studies will demonstrate the transformative impact of IBM Planning Analytics on reduced planning cycles and data integration, leading to enhanced decision-making capabilities.
 
Join us to explore how these solutions can be tailored to your unique supply chain challenges, leading to improved efficiency and decision-making. Don’t miss this opportunity to transform your supply chain management through innovative demand planning strategies. Reserve your spot today and take the first step towards a more integrated and efficient supply chain.


Session Learning Objectives:

1. Gain insights into the challenges of siloed financial and operational planning and learn how Extended Planning and Analysis (XP&A) can effectively integrate these elements to enhance overall supply chain efficiency.
2. Explore advanced forecasting methods, with a focus on seasonal decomposition, to understand how these techniques improve forecast accuracy. The session will also cover the role of causal factors in refining forecast precision and the significance of unbiased model assessment through holdout forecasts.
3. Provide real-world examples demonstrating the effective application of IBM Planning Analytics in various industries. Learn how these strategies lead to reduced planning cycles, improved data integration, and enhanced decision-making capabilities, offering practical insights into tailoring these approaches to their specific supply chain challenges.