Logile's 'Storefront Science' Podcast Decodes Retail AI and Operations

DALLAS, TX – February 18, 2026 – Logile, Inc., a long-standing player in AI-powered retail solutions, has entered the media landscape with the launch of its new podcast, “Storefront Science.” The series aims to pull back the curtain on the complex economics of retail operations, offering listeners in-depth conversations with industry experts on how artificial intelligence and unified workforce tools are reshaping the sector.

Hosted by Logile’s own Ryan Whitfield and Ben Hinshaw, the monthly podcast promises to tackle the pressing questions facing retail executives today. Through expert interviews and real-world case studies, the show intends to explore the intersection of technology, labor strategy, and profitability.

Demystifying the Modern Storefront

The primary mission of “Storefront Science” is educational. In an industry buzzing with tech jargon and ambitious promises, Logile is positioning its podcast as a resource for clarity and practical knowledge. The series is designed to demystify how advanced technologies like AI can be harnessed to improve labor efficiency, what drives measurable return on investment (ROI) from workforce management (WFM) technology, and how unified systems can fundamentally transform store performance.

The inaugural episode sets a high bar for this goal, featuring Evelyn McMullen, a Research Manager at the technology advisory firm Nucleus Research. The discussion centers on how modern WFM solutions are delivering returns that often exceed initial expectations. McMullen’s insights focus on frequently overlooked operational levers—such as granular task execution, data-driven labor optimization, and the integration of disparate systems—that quietly boost profits while simultaneously improving the work life of store employees and managers.

“Through real conversations with experts and practitioners, we’re exploring how smart operations, AI, and workforce strategies intersect to create meaningful impact,” said Ryan Whitfield, one of the podcast's co-hosts, in the launch announcement. “Our goal is to inspire leaders to see new opportunities and think differently about the future of their stores.”

A Strategic Play in a Crowded Tech Field

The launch of “Storefront Science” is more than just an educational initiative; it represents a calculated strategic move in the highly competitive retail technology market. Logile, founded in 2005, operates in a space populated by enterprise software giants like UKG, Blue Yonder, and Workday, all vying to provide retailers with solutions for forecasting, scheduling, and operational management. In this environment, differentiating through product features alone is a constant challenge.

By launching a podcast, the company is embracing a growing trend in B2B marketing: using high-quality, long-form content to establish thought leadership and build brand authority. Instead of a direct sales pitch, the podcast format allows Logile to engage potential clients on a deeper level, offering valuable insights that address their core business challenges. This content-driven approach can be a powerful tool for building trust and demonstrating expertise, helping the company stand out as a knowledgeable partner rather than just another software vendor.

This strategy aims to cultivate an audience of retail executives, operations managers, and IT decision-makers by consistently providing them with actionable intelligence. Future episodes are slated to cover a wide range of emerging trends, from AI-driven scheduling and task automation to inventory forecasting and associate experience. By becoming a go-to source for information on the future of retail, Logile hopes to position itself at the center of the industry's most important conversations.

From Hype to Tangible ROI

A key theme woven throughout the podcast's mission is the focus on tangible results and measurable ROI. In an era where AI is often surrounded by hype, retail leaders are increasingly demanding evidence-based solutions that deliver real financial and operational benefits. “Storefront Science” promises to cut through the noise by focusing on practical strategies for improving profitability and efficiency.

This focus is particularly timely. The retail industry continues to grapple with persistent challenges, including optimizing labor spend, minimizing inventory waste, and enhancing in-store execution. While AI is seen as a critical tool for addressing these issues, its adoption is still met with a degree of caution. Recent industry data indicates that while many organizations are implementing AI, a majority of professionals believe it performs most reliably when paired with human oversight and review. This highlights a critical need for a better understanding of how to integrate AI effectively and responsibly into existing workflows.

The podcast directly addresses this need by grounding its discussions in real-world applications and financial outcomes. By featuring experts like McMullen from Nucleus Research—a firm known for its ROI-focused analysis—Logile signals its commitment to providing more than just theoretical discussions. The intended audience of CFOs, operations directors, and other stakeholders focused on financial performance will be listening for practical takeaways that can be applied to their own organizations to align labor with actual demand and drive stronger execution.

As the series unfolds, its success will be measured by its ability to provide listeners with the confidence and knowledge to navigate the evolving retail landscape. The conversations will explore how to make demand-driven operations a repeatable reality, unifying forecasting, scheduling, task management, and inventory control into a single, cohesive strategy. By focusing on the science behind running a great store, the podcast aims to equip a new generation of retail leaders with the tools they need to succeed.