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).

In this research report, we explore 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

Download this free 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.

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

Data in this research report include:

• Projected global revenues generated by AI for retailers, 2024–2030E
• Proprietary retailer survey findings—retail business decision-makers’ view on influential differentiators of AI-based pricing solutions; percentage of gross sales lost due to out-of-stocks and ineffective allocation and assortment planning
• Proprietary consumer survey findings—selected expectations of delivery that impact shoppers’ likelihood to buy online