Five Ways Brands and Retailers Can Use AI/ML and Shared Data to Energize End-to-End Product Management

• Download the FREE research report here: Five Ways Brands and Retailers Can Use AI/ML and Shared Data to Energize End-to-End Product Management

The time for maintaining siloed data and point-solutions in retail is coming to an end. The interconnected product-management cycle of the future is underpinned by the centralization of data and the power of AI/ML (artificial intelligence/machine learning).

This video present highlights from our research report exploring five ways in which brands and retailers can gain from the analytical power of AI/ML, including GenAI (generative GenAI), in the modern product-management process, spanning:

• Product and market development
• Planning and pricing
• Product acquisition
• Sales and inventory
• Customer interaction

Watch this video and read the full report to:

• Understand how to unlock the value of your company’s unique data to make better business decisions that improve efficiency and drive profitability
• Tap AI/ML technology to elevate product-lifecycle operations amid escalating global competition and rapidly changing consumer trends.

Leveraging proprietary survey analysis, expert insights and real-world retail case studies, we uncover the critical benefits of AI-powered strategies to help you gain advantage in today’s competitive landscape.

The report is produced and made available to non-subscribers of Coresight Research through its sponsorship by Centric Software.

Other relevant research:

• All Coresight Research coverage of retail management and AI in retail
• Visit the Coresight Research Retail Technology Hub to explore reports, data and competitive landscapes on technology.
• More Innovator Research from Coresight Research