
OneStream’s AI Financial Forecasting Software uses machine learning to enhance enterprise planning, empowering finance teams to build, deploy, and consume time-series models for accurate, scalable forecasting within a unified platform.
Vendor
OneStream
Company Website
Data Science for FP&A
Plan with Confidence: Gain insights and forecast more accurately with the power of machine learning.
Unleash
Unleash the power of AI across enterprise planning processes by accelerating time to value for ML forecasting at a fraction of the cost of traditional methods.
Empower
Empower enterprise planning processes with scalable AI purpose-built for Finance, Operations and Data Science teams to build, deploy and consume time-series models inside of OneStream.
Evolve
Evolve enterprise planning processes by making ML forecasting easy for FP&A and operational analysts. Break down the traditional barriers of embracing AI/ML and enrich organizational collaboration.
Auto-Generate Thousands of Demand Forecasts
- Break down the traditionally high barriers of ML to scale and optimize planning across the enterprise.
- Create thousands of daily and/or weekly demand planning ML forecasts across products and locations.
- Capture business intuition such as promotions, events and external factors within ML forecasts.
- Unify and align demand plans with driver-based sales, material costs, inventory, and labor plans across the P&L, Balance Sheet and Cash Flow.
End-to-end ML Forecasting for CPM
- 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.
- Manage data quality and pipelines required for ML modeling.
- Automatic feature generation and model training accelerates time to value.
- AI Services compares and optimizes ML forecasts based on new data available and model training.
Increase Transparency and Agility
- 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.