How do you top the tallest robot in the industry? Chris Coote, Director of Product at Dexory, caught up with The New Warehouse live from MODEX 2026 to explain how the company is doing just that with its new Dexory View Adapt platform.

The conversation also explores how AI-driven insights can reduce firefighting, improve visibility, and help warehouse teams shift from reactive problem-solving to proactive operational management.

Moving Beyond Inventory Visibility

Dexory initially gained attention for its autonomous robot that can scan warehouse inventory in real time. However, as Coote explains, the true value lies within the intelligence layer powering the platform. “That data fuels our intelligence platform called Dexory View. That’s really what customers are buying.” He also noted that the platform helps operators determine “is the right thing in the right location, with the right quantity on hand.”

In addition, Dexory’s AI now detects damaged pallets, hanging shrink wrap, and damaged rack structures. This shift allows warehouse teams to move away from reactive operations.

Coote explained, “The team is now problem solvers and fixers, opposed to being kind of the hunters in the warehouse.” Warehouse leaders increasingly want more than dashboards and static reports. They want actionable intelligence that improves operations immediately. Instead of manually searching for issues, operators can focus on solving problems before they escalate.

Dexory View Adapt Delivers Warehouse Intelligence

Dexory View Adapt represents the next evolution of the company’s platform. Rather than only showing warehouse conditions, the new offering focuses on helping operators understand why problems are happening.

Coote explained, “They also have told us extensively- We need to know the why. We need to get to the root cause of these problems.” He added, “With Dexor Review Adapt, we want to take those hours and days down to minutes and seconds.”

Instead of walking the floor or reviewing spreadsheets, warehouse teams can interact with the system. Coote described it this way: “You can ask those questions in Dexor Review and get an answer.” He also explained that the platform proactively identifies problems operators may not even know exist yet. “Maybe the things that haven’t broken yet, but we can see in the background might break.”

Operational patterns, movement data, throughput analysis, and warehouse-specific context power the proactive notifications. Heat maps and SKU-level insights help operators understand where congestion is happening and why.

As Coote summarized, “How do you get from something happening to an action as quickly as possible?”

Not All Warehouses are the Same

One of the most compelling parts of the conversation centered on warehouse-specific context. Dexory is not simply creating another AI chatbot layered on top of warehouse data.

Coote emphasized, “This isn’t just like another chat tool.” Instead, Dexory integrates warehouse-specific operational knowledge, including WMS data, ERP systems, SOPs, and SLAs.

That context matters because no two warehouses operate exactly alike. Even facilities within the same network can behave differently based on processes, staffing, and workflows.

As Coote explained, “We’ve learned that not all warehouses are the same, not even in the same brand or customer.” He added, “Understanding the specifics about that site and how that behaves, you need to get down to that kind of level.”

Dexory’s approach also creates opportunities for benchmarking across multi-site operations. Customers can compare performance across warehouses, regardless of different WMS environments.

Key Takeaways from Dexory

• Dexory View combines autonomous robotics with warehouse intelligence software.
• Dexory View Adapt focuses on identifying root causes rather than just operational symptoms.
• The platform helps operators move from reactive firefighting to proactive decision-making.
• AI-driven storage health monitoring can identify damaged pallets, shrink wrap, and rack issues.
• SOPs, SLAs, WMS data, ERP systems, and operational context are integrated into the platform.