AI Financial Forecasting Software

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Data Science for FP&A

Plan with Confidence: Gain insights and forecast more accurately with the power of machine learning.

01

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.

02

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.

03

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.

Key Features

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.

Featured Resources

English – Sensible Machine Learning

View Solution Brief

English – Sensible ML

View Video

English – Sensible Machine Learning for CPM – Future Finance at Your Fingertips

View White Paper

English – Expert Series: Sensible Machine Learning

View Podcast

All Resources

Delivering 100% Customer Success

“ The ability to quickly generate driver-based forecasts is essential to adapting to our changing business conditions. Incorporating AI into our planning and forecasting through the OneStream Sensible ML solution accelerates the forecasting process and further elevates it through more accurate ML data-driven forecasts. ”

Melanie Hermann | Finance Process & Systems

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FAQ

Use of Sensible ML does not require in-house data scientists or someone who understands machine learning. However, if you do have a data scientist or someone who understands ML there are advanced capabilities in Sensible ML that they could utilize depending on their use case.

Sensible ML is designed to provide the most sophisticated forecast from the historical time series data supplied
customers. Here are a few examples of how Sensible ML can be applied across various planning processes
and use cases:

To support strategic planning processes, many organizations create 3 or 5-year (or more) forecasts to provide greater clarity of vision and roadmap to support intent of the company, identify strategic choices, ensure clear direction and drive competitive growth.
To help model strategic plans, organizations may share 5 years of monthly history or 60 historical data points with Sensible ML.
- Using these 60 data historical data points, Sensible ML will create a statistical forecast model using a single variable (e.g., univariate model) for deployment across OneStream.
To support Annual Operating Planning (AOP) or forecasting processes, organizations typically require their lines of business to translate “top-down” financial goals into granular, “bottom-up” monthly plans across product categories, sales channels and customers which can result in hundreds of forecasts.
To help model granular bottom-up plans for the AOP or forecasting, organizations may share 150-250 historical monthly data points with Sensible ML.
- Using these 150-250 historical monthly data points, Sensible ML is capable of:
  - Ingest and enrich the source data with external macro-economic data.
  - Automatically generate features and select the most influential variables for modeling.
  - Automatically compare and contrast predictive models such as ARIMA / SARIMA methods in the model arena.
  - Automatically cycle through and surface the highest performing model types across all forecast targets for deployment across OneStream.
To support daily or weekly Demand Planning and/or Sales & Operations Planning (S&OP), organizations typically require their demand planners, business analysts and/or finance business partners to create granular, product and location level forecasts aimed to guide tactical staffing, procurement, logistics and inventory management decisions.
To help model daily or weekly demand plans, organizations may share 250+ historical data points with Sensible ML.
Using 250+ historical data points, Sensible ML will unlock the full potential of advanced ML modeling capabilities including:
- Ingest and enrich the source data with external macro-economic data.
- Incorporating unique business intuition related to events, promotions, and holidays that are known to influence forecasts through Sensible ML’s event builder.
- Automatically generate features and selecting the most influential variables for modeling.
- Automatically compare and contrasting ML methods in the model arena.
- Automatically cycle through and surface the highest performing model types across all forecast targets for deployment across OneStream.

It could be if you are a OneStream SaaS customer with a use case that matches the current capabilities. Sensible ML provides time series forecasting capabilities with a strong focus on daily, weekly and monthly demand planning and other use cases for FP&A and operational teams across numerous industries. Based on the amount of historical data provided, Sensible ML can provide a range of predictive or ML models that are ready to be leveraged across your organization and in virtually every industry.

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