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Listen "Retail’s AI Reality Check: Why Data and Adoption Drive Success"
Episode Synopsis
Episode Overview
In this episode of Talk Retail To Me, Parker Avery’s chief revenue officer, Dan Wittner, and Blue Yonder's head of global retail strategy, Jim Hull, discuss the evolving landscape of retail, focusing on the integration of artificial intelligence, the importance of data quality, and the transformation of store models into fulfillment centers.
They explore the challenges retailers face with labor and the need for dynamic data models to adapt to changing consumer demands. The conversation also highlights the upcoming NRF 2026 Big Show and the excitement surrounding innovations in the retail sector.
Key Takeaways
AI is now a core part of retail strategy and must be tied to business outcomes. The most successful initiatives focus on measurable impact, such as cost reduction, revenue growth, or operational efficiency.
Human adoption is critical to AI success. AI works best when it augments teams and is embraced by users, rather than positioned as a replacement for people.
Data quality and dynamic data models are foundational to modern retail. Clean, consistent data and continuously evolving models are essential for accurate forecasting and decision-making.
Stores are evolving into hybrid fulfillment hubs. Retailers are hyper-focused on redesigning store models to support fulfillment alongside shopping, improving speed, cost, and customer experience.
Labor models must adapt to support fulfillment-enabled stores. New operating models require updated labor standards, expanded skill sets, and more flexible workforce planning.
NRF 2026 will showcase retail innovation moving from concept to reality. The event is expected to highlight proven, market-ready solutions delivering real value at scale.
Episode Highlights
Why most AI projects succeed or fail in retail
How retailers are rethinking demand signals and forecasting
The growing importance of data quality and dynamic data models
The evolution of stores into fulfillment and service hubs
What to expect at NRF 2026 (& meet Parker Avery at booth #2703)
Related Content
Blog Post: Optimizing Data Readiness for AI in Retail
Podcast: Retail’s Data Reckoning: Your First Move in Transformation
Case Study: New Data-Driven Solution Strengthens Grocer’s Competitive Pricing Capabilities
Insights: The Expert Guide to Data Governance in Retail
In this episode of Talk Retail To Me, Parker Avery’s chief revenue officer, Dan Wittner, and Blue Yonder's head of global retail strategy, Jim Hull, discuss the evolving landscape of retail, focusing on the integration of artificial intelligence, the importance of data quality, and the transformation of store models into fulfillment centers.
They explore the challenges retailers face with labor and the need for dynamic data models to adapt to changing consumer demands. The conversation also highlights the upcoming NRF 2026 Big Show and the excitement surrounding innovations in the retail sector.
Key Takeaways
AI is now a core part of retail strategy and must be tied to business outcomes. The most successful initiatives focus on measurable impact, such as cost reduction, revenue growth, or operational efficiency.
Human adoption is critical to AI success. AI works best when it augments teams and is embraced by users, rather than positioned as a replacement for people.
Data quality and dynamic data models are foundational to modern retail. Clean, consistent data and continuously evolving models are essential for accurate forecasting and decision-making.
Stores are evolving into hybrid fulfillment hubs. Retailers are hyper-focused on redesigning store models to support fulfillment alongside shopping, improving speed, cost, and customer experience.
Labor models must adapt to support fulfillment-enabled stores. New operating models require updated labor standards, expanded skill sets, and more flexible workforce planning.
NRF 2026 will showcase retail innovation moving from concept to reality. The event is expected to highlight proven, market-ready solutions delivering real value at scale.
Episode Highlights
Why most AI projects succeed or fail in retail
How retailers are rethinking demand signals and forecasting
The growing importance of data quality and dynamic data models
The evolution of stores into fulfillment and service hubs
What to expect at NRF 2026 (& meet Parker Avery at booth #2703)
Related Content
Blog Post: Optimizing Data Readiness for AI in Retail
Podcast: Retail’s Data Reckoning: Your First Move in Transformation
Case Study: New Data-Driven Solution Strengthens Grocer’s Competitive Pricing Capabilities
Insights: The Expert Guide to Data Governance in Retail
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