AI-Driven Demand Planning in Kinaxis

Traditional demand planning is under pressure. Volatile markets, shifting customer behaviour, and shorter product lifecycles demand more than static forecasts and spreadsheet-driven adjustments.

In this session, we explore how Kinaxis transforms demand planning using Demand Sensing, Machine Learning, AI, and advanced statistical modelling — enabling planners to move from reactive forecasting to intelligent, real-time demand orchestration.

In 30 minutes, you’ll see:

• How Demand Sensing improves short-term forecast accuracy using real-time signals
• How Machine Learning and AI continuously refine forecasts based on pattern recognition and external drivers
• The role of statistical models and how they’re selected, tuned, and governed
• How planners move from manual overrides to exception-based management
• How concurrent planning connects demand to supply, capacity, and financial impacts instantly.

Whether you’re looking to improve forecast accuracy, reduce bias, shorten planning cycles, or modernise your demand planning capability, this session will demonstrate what’s possible with an AI-enabled planning platform.

Submit the form below and watch now!