FEATURE
The challenge for CIOs is therefore not simply collecting more data; it’ s designing systems that make existing data more useful to the people responsible for acting on it. can deploy, technology leaders should start by asking where people are currently spending time finding, comparing and interpreting information before they can make a decision.
In many cases, this is the greatest value of AI. It can reduce the workload required to make an informed, data-driven decision and a human judgement call.
Reduce the distance between signal and decision
Many organisations are sitting on valuable operational information but lack the time or resources to analyse it continuously.
An operator might want to understand why sales dropped at a particular location, which products are consistently underperforming, whether stock levels are becoming a problem, or whether an unusual change in performance needs investigation.
Traditionally, answering those questions requires somebody to write reports, compare different periods and work through individual data points before identifying the issue.
Today, AI-enabled tools can increasingly do some of that groundwork. They can summarise information, identify unusual changes and make it easier for teams to understand which areas deserve their attention.
We are seeing that evolution within Nayax, having recently introduced an AI assistant that allows operators to ask questions about their business data in plain language rather than manually constructing reports. Additional AI capabilities analyse historical sales information to recommend changes to product mix.
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