AI & ML Demand Forecasting in Anaplan

Utilising the power of Artificial Intelligence (AI) and Machine Learning (ML), Anaplan Demand Forecasting transforms raw data into accurate, actionable insights. By combining advanced statistical models with causal drivers such as promotions, seasonality, and market conditions, Anaplan generates a smarter baseline forecast that adapts as your business evolves. This empowers planners to move beyond manual guesswork, reduce bias, and make confident decisions that drive supply chain resilience and growth.

Watch this video to see how Tridant uses data science to supercharge demand forecasting—fast. In this short walkthrough, Jack Dolan shows how a system-generated baseline forecast in Anaplan blends causal AI with classic statistical techniques to produce a precise, review-ready demand plan.

Why Watch The Video?

  • Cut through the hype: Understand how AI actually improves forecast accuracy using real-world drivers such as weather, inflation, promotions and seasonality.
  • See the workflow end-to-end: From cleansing history and handling intermittent demand to selecting best-fit algorithms and governing planner review.
  • Practical, not theoretical: Watch AutoML compare models and pick the one that would have performed best over recent periods—no data-science PhD required.
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What You'll Learn

  • History correction: Automatically smoothen spikes or COVID-era troughs with tunable outlier bounds.
  • Product chaining: Generate history for new SKUs by inheriting demand from similar products.
  • Best-fit modelling: Compare moving averages, decomposition and more—then select the highest-accuracy algorithm over a rolling back-test window.
  • Causal AI & AutoML: Bring in external signals (e.g. CPI, unemployment, promotions, holidays) so the forecast learns and adapts.
  • Governed workflow: Move from baseline to planner review with clear status and controls across the model.
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