Sensible Machine Learning (ML)

Provides FP&A and Business Analysts with a guided experience to build, deploy and consume time-series ML models all in a single, unified platform.

• Pre-built systematized processes and infrastructure conquer the traditional complexities of disparate development tools.
• Automated state of the art data science process and techniques that are typically done manually by teams of data scientists.
• AI Engine automatically adapts to generate the best forecast possible for the training data provided.

Break down the traditionally high barriers with time series machine learning models at scale to optimize planning across the enterprise.

• Create thousands of daily and/or weekly demand planning ML forecasts across products and locations.
• Capture business intuition to inform models and increase model performance rather than relying on generalized “top-down” models.
• Unify and align demand plans with driver-based sales, material costs inventory, and labor plans across the P&L, Balance Sheet and Cash Flow.

Increase forecast accuracy and performance by leveraging ML scenarios across reports, visualizations, forms and dashboards.

• Reduce forecast bias with ML scenarios, compare against human forecasting to drive better dialogue and collaboration.
• Monitor model health and performance over time; built-in model retraining ensures continuous forecasting and scenario analysis.
• Drill-back and back testing capabilities create transparency, trust and confidence in budgets, plans, and forecasts.