Showing 25 posts

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

Product management plays a crucial role in driving revenues, margins, efficiency and customer satisfaction. Technologies such as AI (artificial intelligence), ML (machine learning) and GenAI (generative AI) offer powerful capabilities for retail companies to enhance key functions through the product lifecycle, from product development to customer interaction. This research report is produced and made available to non-subscribers in partnership with Centric Software.

Read More

RetailTech: Loss Prevention—Understanding the Big Picture To Prevent, Mitigate and Recover “Shrink”ing Profits

Theft is a major challenge in today’s retail landscape. We offer essential insights on established and emerging technologies that retailers can leverage to reduce and prevent shrink. Read our research report to understand how to establish a comprehensive loss-prevention strategy that ensures a positive customer experience while safeguarding assets. This report is made available to non-subscribers of Coresight Research through its sponsorship by Diebold Nixdorf.

Read More

Retail-Tech Landscape: Demand Forecasting

The need for demand for advanced demand-forecasting tools has evolved with the digitalization, increasing complexity and heightened competition of the retail landscape today. Catch up on demand-forecasting trends for retail and discover key technology solution providers in this field.

Read More