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    Forecasting + FP&A

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    Deloitte’s AI-Enhanced Forecasting and Planning Solution automates and elevates the forecasting lifecycle from historical data collection and driver identification to scenario modeling, predictive analytics, and executive reporting. Intelligent agents aggregate and validate data, uncover key drivers, update rolling forecasts, detect anomalies, and facilitate business collaboration, enabling finance teams to deliver more accurate, dynamic, and actionable forecasts for strategic decision-making

    Overview

    Deloitte’s AI-Enhanced Forecasting and Planning Solution can transform the forecasting process by automating and optimizing every step, empowering finance teams to deliver more accurate, timely, and insightful projections. The solution begins with the automatic aggregation and validation of historical financial and operational data from multiple sources, eliminating manual data pulls and helping ensure data integrity. AI agents then identify key business drivers by discovering statistical relationships and correlations between variables, such as revenue and cost drivers, seasonality, and market trends. Advanced time series analysis is applied to historical data, detecting trends, growth rates, cyclical patterns, and anomalies that may impact future performance. Scenario modeling is elevated through AI-driven Monte Carlo simulations, generating probabilistic forecasts under various assumptions and quantifying risk. Rolling forecasts are continuously updated as new actuals become available, with machine learning models adapting to changes in business conditions and assumptions. Predictive analytics leverage ensemble methods, combining multiple statistical and machine learning models to enhance forecast accuracy and reliability. Real-time anomaly detection uses unsupervised learning to flag unusual patterns or outliers in financial data, enabling proactive investigation and correction. Forecast accuracy is tracked by component, with AI suggesting targeted improvements to models and processes based on error metrics and bias analysis. The solution also streamlines business partner collaboration by automating the collection and tracking of input from business units, market intelligence, and pipeline data, confirming that forecasts reflect the latest insights and initiatives. What-if analysis is made more powerful and accessible, as AI enables real-time evaluation of potential business decisions and enhances outcomes based on sensitivity and constraint models. For long-range planning, the solution creates dynamic, multi-year financial projections that incorporate uncertainty quantification, strategic initiatives, and market projections, supporting robust strategic decision-making. By orchestrating and enhancing the forecasting and planning process, Deloitte’s solution enables organizations to respond rapidly to change, improve forecast accuracy, and drive better business outcomes. This professional service utilizes Amazon Bedrock, Bedrock Agents, Strands Agents, Lambda and OpenSearch.

    Highlights

    • AI automates data aggregation, driver discovery, and rolling forecast updates.
    • Advanced analytics enable dynamic scenario modeling, anomaly detection, and predictive accuracy tracking.
    • End-to-end workflow automation powers real-time what-if analysis, executive dashboards, and long-range planning.

    Details

    Delivery method

    Deployed on AWS

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