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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.

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The State of In-Store Retailing 2025: The Dawn of New-Age Stores, Powered by Technology

Store intelligence technologies offer transformative potential to optimize brick-and-mortar retail operations. Dive into our survey-driven insights on how to tackle inefficiencies and protect margins. This is our second annual study diving into the state of in-store retailing, offering year-over-year data comparisons. This report is produced and made available to non-subscribers of Coresight Research in partnership with Simbe.

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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).

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High-Income Consumers Drive Uptick in Financial Optimism; Inflation Awareness Down Versus Early 2025: US Consumer Survey Insights

What are US consumers’ perceptions of inflation, and how are they changing their spending habits as a result? We analyze new survey findings on consumers’ inflation-combating strategies when shopping for food and nonfood products. We also continue to track shifts in consumer sentiment, overall and by income level.

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