7 retail trends to watch this year from NRF 2025: Retail’s Big Show
From AI innovations to Gen Zalpha as consumer, this year’s NRF Big Show brought fresh perspectives on how technology and human interaction are redefining the industry.
To compete in today’s retail and consumer goods industries, supply chain leaders need respond to consumer demand volatility, to adapt, and make decisions faster.
From AI innovations to Gen Zalpha as consumer, this year’s NRF Big Show brought fresh perspectives on how technology and human interaction are redefining the industry.
Agentic systems offer a revolutionary opportunity to enhance decision making quality and speed.
Transforming the customer experience requires a solid foundation of data that is accurate, accessible when needed, and secure.
Rethink business processes like content creation and customer engagement with a three-stage roadmap for a buy versus build framework that aligns AI investments with business outcomes.Â
At the NRF this year, Microsoft and its partners are showcasing solutions designed to help retailers unlock the full potential of their data.
Microsoft is proud to demonstrate how our data and AI solutions are helping lead the shift and maximize the success of retail AI investments at NRF 2025.
By leveraging generative AI, merchants can streamline data analysis, enhance forecasting accuracy, and reduce the time from design to market.
The integration of AI into supply chain management through a supply chain copilot allows for real-time visibility, optimized data management, and seamless interoperation across multiple elements.
Microsoft is turning challenges around ESG data infrastructure and organizational culture into an opportunity to build business resilience.
At Microsoft, we are dedicated to harnessing AI to drive innovation, enhance productivity, and foster sustainable growth across sectors.
As the world becomes increasingly complex, leading organizations are gravitating towards technology to accelerate supply chain optimization with greater speed and precision to shift the paradigm from a reactive mode of operating to one that is proactively getting ahead.
As we transition from hype to reality, brands are shifting from basic generative AI applications like content and tagline generation and to evaluating comprehensive business processes that leverage generative AI to accelerate timelines, unlock more value, and drive increased growth.