Oracle
Oracle has announced deployment of its cloud-based retail solutions at Prada Group.
Through Oracle Retail Xstore Point-of-Service (PoS) and Oracle Retail Customer Engagement Cloud Service, it can collect customer preferences and purchase habits. This data can then be analysed and translated into strategic actions to increase loyalty.
“A global player like the Prada Group takes the time to understand the data around its customers, including attributes, behaviour, and preferences,” says Mike Webster, Senior Vice President and General Manager at Oracle Retail.
“The marriage of planning and analytics with the customer experience technology allows a retailer to predict, personalise and deliver on its brand promise.”
“We are delighted to celebrate the successful deployment of our cloud-based, AI infused retail and planning and forecasting solutions integrated with our omnichannel solutions at Prada Group.”
.“Understanding our customers and their journey is critical to our success,” says Lorenzo Bertelli, Prada Group Marketing Director and Head of Corporate Social Responsibility.
“Technology can help with that and allow us to innovate faster, to drive value, and ultimately growth. With Oracle, we have built a trusted relationship and know we can rely on the team and their technology to meet our business needs.”
Most recently, Prada Group deployed Oracle Retail Cloud Services for Merchandise Financial Planning, Assortment, and Item Planning.
This includes enhancing sales and forecasts, performance analysis, as well as inventory management and allocation. With this data, the Prada Group aims to better understand its operations process, scenario plan more effectively, and react more quickly as the market evolves.
In the next phase, it will roll-out Oracle Retail Demand Forecasting Cloud Service, an enterprise forecasting engine within the Oracle Retail Analytics and Planning suite.
These solutions sit on top of Oracle Retail AI which provides analytical insights to drive planning, buying, moving, and selling decisions.
