How Bealls Inc. Builds Trust in Autonomous Agents to Transform Planning Operations

The real bottleneck in retail planning isn't a lack of data; it's the time lost reconciling it. When planners spend the first half of their week manually pulling reports, they aren't strategizing—they're just catching up. The tension for 2026 is moving past "Black Box" AI that demands blind faith to Agentic AI that provides actionable transparency. Karen Beebe, CTO of Bealls, Inc., details how a 111-year-old retailer scales innovation by integrating AI directly into their core business strategy. Rather than treating AI as a standalone project, Bealls uses autonomous agents to automate data-gathering drudgery. KEY INSIGHTS: - Automating the Monday Morning Grind: Bealls utilizes agents for Agentic Evaluation & Optimization (AEO). The system reconciles disparate data sources automatically, delivering a recommendation and its justification simultaneously so planners can act immediately. - Trust as a Technical Requirement: Transparency is the antidote to the "Black Box." By exposing the logic behind AI outputs, Bealls allows human experts to validate anomalies and local nuances, ensuring the machine learns from human intuition. - Integrated Innovation: AI use cases at Bealls are tied to the specific flow of off-price retail. This ensures technology serves the primary goal—inventory efficiency—rather than chasing technical novelties for their own sake. In the era of autonomous retail, trust is built on visibility. If your merchants don't understand the "why" behind the data, they shouldn't execute the "what."