Case Study: How AI Transformed Financial Forecasting for a Leading Saudi Company


In an era where uncertainty defines the global economy, businesses are turning to innovative solutions to stay ahead. This is especially true in the Kingdom of Saudi Arabia, where Vision 2030 is accelerating digital transformation across industries. In this case study, we explore how Eda Wealth partnered with a leading Saudi enterprise to revolutionize their financial forecasting through artificial intelligence (AI)—unlocking agility, accuracy, and measurable business growth.


The Challenge: Traditional Forecasting Falls Short

Our client, a top-tier Saudi conglomerate operating across energy, retail, and construction, faced persistent challenges:

  • Manual, spreadsheet-based forecasts led to errors and delays.
  • Limited scenario analysis restricted strategic decision-making.
  • Volatile market conditions made long-term predictions unreliable.

With ambitious expansion goals and increased scrutiny from stakeholders, the company needed forecasting that was fast, flexible, and data-driven.


The Solution: Eda Wealth’s AI-Powered Financial Modeling

Eda Wealth deployed its advanced AI-driven financial modeling services to redesign the client’s forecasting process. Our approach included:

  • Machine Learning Algorithms: We integrated historical financial data, market trends, and macroeconomic indicators (such as Saudi GDP growth rates) to train predictive models.
  • Automated Data Pipelines: Real-time financial and operational data from multiple divisions fed directly into the model, ensuring forecasts stayed current.
  • Scenario Planning: AI simulated multiple economic outcomes, factoring in oil price fluctuations, regulatory changes, and geopolitical risks.
  • Interactive Dashboards: Decision-makers accessed forecasts via dynamic dashboards, with drill-downs for every business unit.

Measurable Outcomes

After a 6-month implementation, the results were clear:

1. Forecasting Accuracy Improved by 29%

The mean absolute percentage error (MAPE) dropped from 18% to under 13%, verified over 12 months of actual performance. This enabled leadership to trust forecasts for major investment decisions.

2. Reporting Time Reduced by 80%

Automating data integration and analysis cut monthly reporting cycles from five days to less than one. This freed up finance teams for higher-value tasks.

3. Scenario Response Time Shrunk from Weeks to Hours

With AI-powered scenario modeling, management could now assess the impact of external shocks (such as new SAMA regulations or sudden oil price changes) in hours—not weeks—helping them pivot strategies rapidly.

4. Revenue Uplift and Cost Savings

By making informed pricing, inventory, and capex decisions, the company increased quarterly EBITDA by 6% and reduced working capital requirements by SAR 12 million in the first year.


Why Saudi Companies Are Embracing AI

With initiatives like Vision 2030 and rapid digitalization (Saudi Gazette: Digital Transformation), Saudi businesses recognize that AI-driven insights are essential for global competitiveness. Automated, data-rich forecasting supports not only risk management but also drives sustainable growth and investor confidence.


Conclusion

This transformation journey shows how partnering with Eda Wealth for financial modeling services enables Saudi businesses to navigate complex markets and outperform peers.

Are you ready to future-proof your financial strategy? Contact Eda Wealth to discover how our AI solutions can empower your organization.


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