Using data and AI to ensure customer success
Update: 2024-07-25
Description
The retail landscape has changed dramatically over the past few years, with retailers having to work even harder to attract and retain customers, who are curbing their spending in response to the cost-of-living crisis and economic uncertainty.
To stand out from the competition and win customers, many retailers are looking to AI and machine learning to automate their processes or turning to analytics software to make sense of consumer metrics.
But the data required for these systems can be difficult to collect and manage, with many organisations yet to work out how to effectively use and process this data to measure their success.
To delve further into these issues, Retail Systems was joined by Emma Clarke, Senior Director of Product Management at Metapack and Chris Kellner, CRO at Digital Genius.
To stand out from the competition and win customers, many retailers are looking to AI and machine learning to automate their processes or turning to analytics software to make sense of consumer metrics.
But the data required for these systems can be difficult to collect and manage, with many organisations yet to work out how to effectively use and process this data to measure their success.
To delve further into these issues, Retail Systems was joined by Emma Clarke, Senior Director of Product Management at Metapack and Chris Kellner, CRO at Digital Genius.
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