SmartStream Technologies is to launch an artificial intelligence (AI) and machine learning module within its existing Transaction Lifecycle Management (TLM) cash and liquidity management solution for receipts and payments.
A proprietary algorithm will use the data and predict the forecasted settlement time of receipts on an intraday basis.
According to SmartStream, these predictions will become more accurate and treasurers can make more informed decisions through the algorithm’s data.
The new module will allow cash management teams can also gain greater visibility into the payment process and manage liquidity risk more efficiently, minimising the potential of payments being missed.
In addition, the new TLM cash and liquidity management module has the ability to predict when credit is going to arrive; giving the treasurer more control over cash-flows.
Andreas Burner, chief innovation officer at SmartStream, commented: “This proof of concept is clearly another important step towards ensuring that our clients are keeping pace with what the regulators are demanding—and in particular the questioning of a bank’s position and the management of its outstanding balances."
Nadeem Shamim, head of cash and liquidity management at SmartStream, said: “Things are going to get tighter in terms of managing liquidity. Collateral is expensive, capital is expensive and there is currently a big drive to reduce excessive use of capital—this is an area where AI and predictive analytics can manage liquidity buffers more efficiently and that can result in significant savings.”
