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A spacious industrial warehouse with high ceilings, filled with stacked pallets of goods in plastic wrapping. Natural light streams through large windows.

How AI Fixes Warehouse Issues in Real Time

Discover how BackOps uses agentic AI to streamline supply chain communication, resolve warehouse issues faster, and deliver human-like interactions across systems.

A recent episode of the Doing Business in Bentonville Podcast dives into how BackOps is leveraging agentic AI to address persistent communication breakdowns in warehouse environments. Sean McCarthy, co-founder and CEO of BackOps, outlined how the company's intelligent platform resolves issues like shipment discrepancies and missing inventory with unparalleled speed and accuracy.

Unlike traditional Robotic Process Automation (RPA), which follows linear workflows, BackOps' agentic AI operates concurrently across systems.

When problems arise, the AI autonomously checks carrier portals, vendor systems and warehouse management tools while also reaching out via email, phone or messaging apps. This parallel approach significantly shortens resolution times without sacrificing detail or context.

One standout feature is the AI’s natural communication style, often indistinguishable from a human agent. This design bridges the trust gap in relationship-driven sectors like logistics, where clear, empathetic interaction matters.

BackOps also supports human-in-the-loop configurations for companies that prefer collaborative AI tools. The system provides immediate ROI while also delivering predictive insights, flagging recurring issues with specific carriers or vendors before they escalate.

With real-world applications already in motion, BackOps is positioning itself at the forefront of AI-driven supply chain transformation.


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