151 results found

Transforming Beauty Retail: AI Across the Value Chain, from Innovation to Personalization

AI (artificial intelligence) is transforming the beauty industry, reshaping product innovation, manufacturing, marketing strategies and loyalty building. We delineate the “B.E.A.U.T.Y.” of AI’s value and use cases in the beauty market, from building new products to providing better consumer experiences. Discover the technology’s key benefits, spanning personalization, cost efficiency and sustainability.

The STORE Framework for Driving Innovation in Retail

The Coresight Research STORE Framework is a tool for retail companies to identify and implement innovation in their enterprise. The framework helps guide decision-making in the adoption of next-generation technologies, from recognizing the opportunity to considering risks, resilience and ethics.

The Agentic AI Playbook: How to Redefine Retail with Intelligent Autonomy

Agentic AI (artificial intelligence) offers new, unparalleled capabilities for enterprises to transform their operations. Why should your organization be an early adopter of agentic AI, and what must you consider to deploy the technology successfully? Leveraging the Coresight Research STORE Framework for driving innovation in retail, this Playbook provides a comprehensive guide to implementing and seizing the benefits of agentic AI. This report is made available to non-subscribers of Coresight Research through its sponsorship by Amazon Web Services (AWS).

RetailTech: AI in Digital Commerce—GenAI Supercharges Retail to Provide a Seamless Shopping Journey

We explore how AI/ML (machine learning) and GenAI (generative AI) are redefining every step of the customer journey in digital commerce—from awareness and consideration to purchase and retention. Discover how retailers can adapt to shrinking consumer attention spans and create seamless, personalized experiences. We cover key topics including digital marketing, retail media, virtual stores and more.

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.