Showing 33 posts

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.

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RetailTech: Electronic Shelf Labels—A Boon or Burden for Consumers?

Consumers and regulators are concerned about retailers’ use of electronic shelf labels (ESLs) with dynamic pricing to implement surge pricing and gouge already price-weary consumers. Understand the hype around Walmart’s announcement to roll out ESLs, and discover the benefits of the technology for retailers, consumers and the environment.

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Retail-Tech Landscape: CDP Software

Customer data platforms (CDPs), part of the broader customer relationship management market, collect and integrate data in real time, enabling businesses to unify profiles to gain a holistic view of their customers. Read this Retail-Tech Landscape to understand the functionality of CDPs and discover key technology solution providers in this field.

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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.

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Retail-Tech Landscape: Generative AI Infrastructure

The ability of GenAI (generative artificial intelligence) to create content and find relationships among data is enabled by multiple layers of infrastructure. Various tools and services are available for companies to maximize the potential of GenAI to gain a competitive advantage. We discuss key trends in GenAI infrastructure and present selected technology providers globally, with innovative solutions spanning model development, cloud services, AI chips and more.

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