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Sundarbans Conservation Pact

Bangladesh and India renew joint efforts for the conservation of the Sundarbans biodiversity.

Shaquib Quareshi

By Shaquib Quareshi

August 2026

Sundarbans Conservation Pact

In the evolving landscape of transaction banking, the concept of end-of-day treasury is rapidly transforming. Historically, corporate treasurers relied on end-of-day balances to manage liquidity, reconcile accounts, and make short-term investment decisions. However, the rise of instant payments, 24/7 processing, and real-time APIs is pushing the industry toward continuous liquidity management.

This shift requires a fundamental change in how treasury operations function. Instead of waiting for batch processes to settle, treasurers must now adopt tools that provide real-time visibility into their cash positions across global accounts.

The Role of Technology

Advanced data analytics and artificial intelligence (AI) are playing a crucial role in this transition. By leveraging machine learning algorithms, treasury teams can forecast cash flows with greater accuracy, anticipating shortfalls before they occur. Furthermore, API integrations allow seamless connectivity between corporate ERP systems and banking portals, ensuring that data is always up-to-date.

Challenges and Opportunities

While the benefits of continuous liquidity management are clear—improved capital efficiency, reduced borrowing costs, and enhanced risk management—the transition is not without its challenges. Legacy systems, siloed data structures, and regulatory hurdles remain significant barriers for many organizations.

To succeed in this new era, banks and their corporate clients must collaborate closely, investing in modern infrastructure that supports real-time capabilities. The end of end-of-day treasury is not just a technological upgrade; it is a strategic imperative for those looking to stay competitive in a fast-paced global market.

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