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Last updated: 12 Dec, 2025
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Published 12 Dec, 2025
Updated 12 Dec, 2025

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12 Dec, 202505:20 pm
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Devanshee Dave
Reporter

2025 has been a challenging year for treasury functions across industries, driven by economic uncertainty, fluctuating tariffs, and shifting interest rates. Within this, Bank of America’s CashPro Forecasting™ solution has been helpful. The AI-driven tool addresses one of treasury’s most demanding tasks – cash forecasting. 

Cash forecasting remains a critical yet resource-intensive process for treasury departments. Traditionally reliant on manual compilation of data across spreadsheets, the process can extend over several days, often resulting in forecasts that are outdated by the time they are completed. This lag impairs the ability of treasury teams to make informed decisions in changing market conditions.

CashPro Forecasting™ solution helped 3,000 companies save over 250,000 hours this year. By automating data integration and applying machine learning, the solution provides treasury teams with timely, actionable insights to better manage liquidity and respond to market dynamics.

“Economic uncertainty is the new normal across global markets. It’s critical we equip our clients with the best tools, insights, and resources so they can navigate this complexity with confidence and make timely, informed decisions,” stated Winnie Chen, head of Global Payments Solutions for Asia Pacific at Bank of America.

How CashPro Forecasting Works

CashPro Forecasting is embedded within Bank of America’s CashPro platform, which serves as a comprehensive hub for treasury, trade, and cross-border payments needs. The tool uses advanced machine learning to consolidate account data from various institutions, providing a clear view of global cash positions.

The solution can generate forecasts within minutes, covering horizons from one day up to one year ahead. This speed allows treasury teams to move beyond static, retrospective reports and engage in proactive liquidity management.

By integrating account data from multiple banks, the solution offers a comprehensive and holistic perspective on cash flows, enabling treasury teams to gain a clearer understanding of their liquidity positions. 

The implementation is simple with one-click activation on the CashPro platform, enabling quick adoption. It also promotes collaboration through shared workspaces, allowing teams to align forecasts and work together effectively.

Additionally, the recent upgrades have enhanced data processing speeds by a factor of five, enabling more agile responses to evolving market developments.

Increased client adoption 

The tool’s relevance is evident, as client engagement increased in 2025 during market volatility. In the second quarter of 2025, the number of shared forecasting workspaces in client organisations rose by 113% compared to typical levels.

“We have identified several productive use cases for the BofA CashPro Forecasting tool. Its intuitive yet dynamic design has made implementation straightforward and allowed multiple teams to quickly derive value. Over time, I’m confident we will discover even more ways to leverage this tool,” noted Sal Campo, Enterprise Cash Management Manager at Toyota Financial Services North America.

Broader implications for treasury technology

Bank of America is expanding its investment in AI with the launch of Ask Global Payments Solutions, a generative AI assistant for employee inquiries. This showcases their commitment to integrating AI into treasury operations.

On this, Jennifer Sanctis, CashPro Product Executive in Global Payment Solutions, said, “We never rest when it comes to advancing our technology. As AI capabilities evolve, Bank of America continues to enhance CashPro Forecasting, ensuring clients stay ahead in an increasingly dynamic financial landscape.”

The volatility characterising today’s economic environment demands treasury solutions that are both agile and insightful. Bank of America’s CashPro Forecasting™ offers a data-driven approach to cash forecasting, helping treasury teams reduce manual effort, improve forecast accuracy, and foster collaboration.