Showing 12 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.

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New Technologies to Drive Retailer-Supplier Collaboration: Insights Presented at NACDS Annual Meeting 2025

Discover five tech-driven strategies that protect against earnings erosion in the context of macroeconomic uncertainty and tariffs. These strategies, which touch on retail media, demand forecasting and pricing, align with elements of the Coresight Research CORE Framework for AI (artificial intelligence) in retail. This presentation was delivered by Coresight Research at the NACDS Annual Meeting 2025.

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Playbook: Six Quick Wins in Generative AI

This Playbook provides critical strategies for companies to harness the power of generative AI in retail, covering product development, personalized marketing, employee productivity and more. Gain a competitive edge in the fast-paced retail landscape with these quick wins in generative AI.

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AI in Retail: Computer Vision for In-Store Inventory Management

In our AI in Retail series, we discuss how artificial intelligence (AI) is transforming the way retailers operate and interact with customers. This report discusses how computer vision can be integrated into inventory management systems to bring benefits to retailers. Selected use cases illustrate that retailers are collaborating with technology providers to roll out computer vision applications.

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