Over the last 10 years, developments in retail data analytics have been especially useful in assisting marketers in extracting maximum value from retail customer and consumer data. Now it’s time for brands to make the shift from knowing their customers to truly understanding them with the help of Consumer Insights.
Learn how retailers can use AI in retail and consider data-driven insights on how target consumers respond to given scenarios and offers and use that context to inform future consumer engagement and increase new customer acquisition with the help of consumer analytics pulled from Oracle Retail Consumer Insights.
It’s important that retailers understand that transparency and honesty are core components for building loyalty with today’s shoppers and through the use of Oracle Retail Brand Compliance they can react faster to product issues and remain transparent.
Take a look at private brand food safety from the grocery retailers’ point of view – the upside and the challenges – and insight into the growing global private label industry and how Oracle Retail Brand Compliance is supporting the growth.
If you’re considering moving to a mobile or hybrid retail point of service (POS), knowing where to start can be the biggest challenge. To jumpstart the process, consider how store operations, the retail hardware you select, and the policies you have in place will impact and affect your move to mobile.
Diginomica interviewed Jeff Warren, VP of Retail Solutions Management at Oracle Retail, at NRF 2020 and found that retailers are looking for an AI-driven assortment and price strategy. With the launch of Oracle Retail Consumer Insights, AI in retail is no longer just a buzz word.
Learn how by taking owned customer data and bolstering it with third-party contextual intelligence, Oracle Retail Consumer Insights helps retailers fully appreciate who their most loyal, profitable, influential customers really are and move to the next practice in identifying potential customers that possess similar attributes.