#157 NRF Innovation Lab highlights and the future of AI in retail
Retail Gets Real · with Sucharita Kodali & George Shaw · February 17, 2020 · 21 min
Summary
This episode dives into cutting-edge retail technology showcased at the NRF Innovation Lab, with a focus on AI applications. It highlights how platforms like Pathr leverage anonymous spatial intelligence to provide real-time business insights, optimize store operations, and enhance customer experience. Listen to understand the practical applications of AI and data analytics for immediate operational improvements and future strategic planning in your retail business.
Key takeaways
Explore how anonymous location data can be used to derive real-time spatial intelligence for optimizing store layouts and understanding customer flow without compromising privacy.
Investigate AI-powered solutions to gain insights into in-store customer behavior, such as foot traffic patterns and product engagement, to improve merchandising and staffing.
Consider integrating advanced analytics to move beyond basic sales data, utilizing tools that provide predictive insights for demand forecasting and personalized customer experiences.
Evaluate emerging retail technologies like those featured at the NRF Innovation Lab to identify potential competitive advantages and areas for innovation in your own business.
Focus on data-driven decision-making for store operations, leveraging AI to enhance efficiency and create more impactful in-store customer journeys.
The NRF Innovation Lab at Retail’s Big Show showcases over 50 of the most groundbreaking technologies in the retail space. Sucharita Kodali, an NRF Innovation Advisory Committee member and a retail analyst with Forrester joins the show to talk more about the Lab, along with one of the innovators from the lab, George Shaw, CEO and co-founder of Pathr, the first AI-powered spatial intelligence platform that uses anonymous location data to derive business insights in real-time. Learn more at retailgetsreal.com.
What does this episode say about retail & omnichannel?
Explore how anonymous location data can be used to derive real-time spatial intelligence for optimizing store layouts and understanding customer flow without compromising privacy.
What does this episode say about ai & automation?
Investigate AI-powered solutions to gain insights into in-store customer behavior, such as foot traffic patterns and product engagement, to improve merchandising and staffing.
What does this episode say about analytics & attribution?
Consider integrating advanced analytics to move beyond basic sales data, utilizing tools that provide predictive insights for demand forecasting and personalized customer experiences.
What does this episode say about retail & omnichannel?
Evaluate emerging retail technologies like those featured at the NRF Innovation Lab to identify potential competitive advantages and areas for innovation in your own business.
What does this episode say about retail & omnichannel?
Focus on data-driven decision-making for store operations, leveraging AI to enhance efficiency and create more impactful in-store customer journeys.
