CubeFleet™: Usage-Based Maintenance for More Reliable AutoStore Operations

CubeFleet provides a centralized view of fleet health, maintenance requirements, work orders, service history, and service activity across one or multiple AutoStore deployments. In this deep dive blog, learn how this new software application improves upon traditional service and support methods, and how it can reduce unplanned downtime by up to 45%.

The limits of traditional maintenance solutions 

As warehouse operations become increasingly dependent on automation, maintaining performance after go-live is just as important as achieving it in the first place. Yet many organizations still rely on predetermined maintenance schedules, spreadsheets, emails, and institutional knowledge to manage service requirements. As fleets grow and operations become more complex, that approach can make it harder to identify emerging maintenance needs, maintain consistency across sites, and sustain operational continuity.

What is CubeFleet? 

Traditional maintenance schedules use fixed intervals that do not always reflect differences in activity between sites, systems, and modules. CubeFleet uses operational usage data from CubeAnalytics™ to track module activity, including Robot distance driven, Bin presentations, and charger cycles. It compares this activity with established service requirements and turns the resulting insights into service actions. This helps teams make maintenance decisions grounded in operational data rather than relying solely on fixed schedules, reactive responses, or overservicing.

Usage data from CubeAnalytics becomes service actions displayed in CubeFleet, helping teams see what maintenance is needed and plan their next steps.

How CubeFleet Turns Visibility into Action 

Identifying a maintenance need is only part of the process. Teams also need a consistent way to plan, execute, and document the work. 

When an AutoStore module approaches its maintenance threshold, CubeFleet automatically flags the requirement and creates a work order. Each work order contains the module ID, required maintenance activity, required spare parts, and step-by-step service guidance. Users can also create work orders manually when additional maintenance activities are required.

CubeFleet automatically alerts teams when a module approaches its maintenance threshold and creates a work order with the required service steps and spare parts.

Once the work is completed, CubeFleet updates the module's maintenance record and preserves the service history for future reference. This creates a centralized record of maintenance activities, helping teams understand what has been completed, what still requires attention, and which parts have been replaced over time.

What This Means for Operations 

Less Guesswork  

Because CubeFleet uses real operational data, it helps maintenance teams move away from fixed-interval scheduling and make decisions based on how modules are actually being used.  

This allows operations to shift from fixed-interval or reactive maintenance toward a more data-driven approach.  

Efficient Management of Multiple Sites

For organizations operating multiple AutoStore systems, traceability can become increasingly difficult as deployments expand and information gets spread amongst fragmented records and data silos.  

CubeFleet consolidates critical data in a single dashboard. From that centralized view, teams can monitor module status, review work-order priorities, track maintenance progress, and maintain visibility across more than one of their managed sites. This makes it easier to prioritize service activities, improve consistency, and maintain a clearer understanding of maintenance requirements across deployments.

CubeFleet brings module status, work-order priorities, and maintenance progress into one dashboard, helping teams coordinate service across multiple AutoStore sites.

Reduced Downtime 

Maintenance teams are often balancing two competing challenges: servicing modules too early or reacting too late.  

By providing maintenance visibility based on actual usage and surfacing service requirements earlier, CubeFleet helps teams address maintenance needs before they impact daily operations. AutoStore estimates that this approach can help reduce unplanned downtime by 35% to 45%.  

For customers maintaining their own systems, that can mean fewer unexpected disruptions and greater confidence in day-to-day operations. For service partners, it provides better visibility into maintenance requirements across managed sites, supporting more consistent service delivery and planning.

CubeFleet can help reduce unplanned downtime by 35% to 45%.

Source: AutoStore

Improvement of Existing Operations 

CubeFleet is not intended to replace enterprise maintenance management systems. Instead, it serves as an AutoStore-specific layer that provides native operational data, module-level usage information, maintenance thresholds, spare-parts traceability, and approved service guidance.  

Maintenance teams remain responsible for carrying out service activities and managing site operations. CubeFleet supports those decisions by providing the visibility, alerts, guidance, and traceability needed to make maintenance planning more informed and proactive.  

Supporting Reliability Beyond Go-Live 

Reliable operations depend on maintaining system performance over time and addressing maintenance needs before they become disruptions. 

CubeFleet does just that, extending AutoStore's focus on reliability beyond go-live by combining fleet health visibility, proactive alerts, maintenance traceability, and guided execution in a single solution. By using operational data to support maintenance decisions, it helps teams sustain operational continuity, reduce complexity, and build a stronger foundation for long-term system performance across the AutoStore lifecycle.

→ See how CubeAnalytics provides live system data.  

→ Explore CubeFleet and AutoStore reliability.  

→ Read the Fall 2026 Product Announcement.