The Future of RetailWork: Inside Traxlo’s AI-Driven Task Model

In this interview with Paul Vezelis, Co-Founder and CEO of Traxlo, we explore how the platform’s pay-per-task model is reshaping retail operations, diving into operational innovation, workforce flexibility, and customer experience in modern retail. 

Traxlo connects thousands of gig workers with retailers to complete specific operational tasks like shelf replenishment, inventory checks, and online order picking, ensuring consistent execution that supports both customer and employee experiences.

Paul explains how the model works in practice, the advantages it offers over traditional staffing, and the results seen by retailers and shoppers. 

The discussion also covers Traxlo’s plans to integrate AI through its tasku.ai engine, using large language models and computer vision to automate task creation, verify completion, and expand the types of tasks that can be managed efficiently, sharing his perspective on why 2026 could be a turning point for retail and warehouse labor as AI and robotics reshape the industry.