The world’s treasurers continue to place the greatest importance on active cash management. MNCs, large local corporations, regional conglomerates, mid-caps and SMEs all require automated, contextualised liquidity management due to the constantly changing needs in a globalised environment. According to the Deloitte Global Treasury Survey 2022, 64% of respondents identified visibility into global operations, cash, and financial risk exposure as a major challenge. They also identified improved cash forecasting capabilities (41%) and enhanced liquidity management (56%) as top priorities for the following three years. Liquidity management is no longer a reactive discipline but today – and in the future – an increasingly proactive and essential exercise with the goal of optimising returns and making better-informed choices in real time.
For multi-country conglomerates with accounts spread across their geographies, currencies and entities, optimisation of liquidity has become critical. We understand that every dollar of corporate liquidity is a dollar of bank liability. Our unique vision is to enable our clients’ clients to optimise their returns on cash capital while simultaneously protecting the bank and helping the bank to deliver higher returns on equity
The last few years saw frequent fluctuations in the global economy, ultra-low interest rates and geopolitical uncertainties. This made businesses more risk-averse, resulting in surplus unutilised liquidity lying idle in demand deposits at the best-rated financial institutions. Today, interest rates have risen rapidly and there are many better opportunities to deploy this excess cash. At the same time, AI-driven treasury management is enabling data-backed best decisions
Highlights
Real-time visibility of cash positions across accounts (physical/virtual), across currencies and across countries
ESG contextual product support including bonus interest rates, green deposits and investments
Cross-sell opportunities for financial institutions to their end customers by rewarding loyalty and stickiness
Reduction in non-operational balance overheads reducing the capital required to support the bank’s liability book for a better return on bank equity
AI/ML-enabled treasury services delivering deep insights and better informed decision-making
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