DISTRIBUTION CENTERS

Empowering Distribution and Logistics with Intelligent Machine Health Solutions

TDKSensEI: Delivering Edge AI to Enhance Efficiency Across Smart Sectors.

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Distribution Industry

In logistics and distribution centers, uptime isn’t a nice‑to‑have—it’s everything. Yet many disruptions don’t start with dramatic failures; they begin as subtle performance drops that quietly slow throughput, strain labor, and put service levels at risk.
Predictive maintenance shines a light on these hidden issues, helping teams catch problems early—before they turn into missed shipments or unhappy customers. As distribution networks grow more automated and customer expectations continue to rise, reactive maintenance simply can’t keep up.
Predictive maintenance is essential for operating at modern scale, giving facilities the foresight they need to stay resilient, efficient, and competitive in an industry where every minute counts.

Working together, edgeRX™ helps distribution centers prevent the failures that slow everything down. Conveyor jams, sorter slowdowns, and automation faults often start as minor issues—but they quickly snowball into backed‑up orders, missed cut‑off times, and costly manual workarounds. edgeRX™ detects early warning signs at the machine level so teams can intervene before throughput is impacted.

Built for high‑volume DC environments, edgeRX™ operates in real time—where delays can’t wait. Instead of relying on lagging alerts or manual checks, edgeRX™ analyzes equipment performance at the edge to identify abnormal vibration, heat, or behavior that leads to unplanned downtime. This keeps sortation systems, AS/RS, and material flow running smoothly during peak operations.
edgeRX™ also helps teams focus on what actually threatens performance. By connecting fragmented machine data into clear, actionable insights, it highlights which issues are most likely to cause line stoppages, labor inefficiencies, or missed SLAs. The result is fewer surprises, smarter maintenance decisions, and distribution centers that stay ahead of disruptions—not scrambling to recover from them.
 

W​orking together, edgeRX™ helps distribution centers prevent the failures that slow everything down. Conveyor jams, sorter slowdowns, and automation faults often start as minor issues—but they quickly snowball into backed‑up orders, missed cut‑off times, and costly manual workarounds. edgeRX™ detects early warning signs at the machine level so teams can intervene before throughput is impacted.

Built for high‑volume DC environments, edgeRX™ operates in real time—where delays can’t wait. Instead of relying on lagging alerts or manual checks, edgeRX™ analyzes equipment performance at the edge to identify abnormal vibration, heat, or behavior that leads to unplanned downtime. This keeps sortation systems, AS/RS, and material flow running smoothly during peak operations.

edgeRX™ also helps teams focus on what actually threatens performance. By connecting fragmented machine data into clear, actionable insights, it highlights which issues are most likely to cause line stoppages, labor inefficiencies, or missed SLAs. The result is fewer surprises, smarter maintenance decisions, and distribution centers that stay ahead of disruptions—not scrambling to recover from them.

 
Beyond software

Monitoring Solutions to Effectively Keep Distribution Centers Moving

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Real-Time Visibility into Material Handling Systems

Distribution centers depend on high‑speed material handling systems such as conveyors, sorters, motors, and automated storage and retrieval equipment. edgeRX™ provides real‑time insight directly at these assets, giving operations teams continuous visibility into system health and performance. This immediate awareness helps teams identify issues as they emerge and maintain smooth material flow throughout the facility.

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Prevent Disruptions During Peak Throughput

Unexpected equipment issues can quickly cascade into missed SLAs, delayed shipments, and downstream congestion. edgeRX™ analyzes data locally at the edge to identify developing problems early, allowing teams to take action before failures impact throughput. This enables maintenance to be scheduled around operations—reducing emergency interventions and keeping fulfillment moving during peak demand.

Image of TDK SensEI's edgeRX™ LYNQ sensor.
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Scalable Intelligence Across High-Volume Operations

Distribution networks often span multiple facilities, each with thousands of assets operating continuously. edgeRX™ delivers a scalable, edge-based intelligence layer that simplifies deployment across systems and sites without overwhelming networks or centralized infrastructure. This approach supports consistent maintenance strategies, faster rollout, and reliable performance as operations scale.

TDK SensEI product edgeRX™ dashboard opened on a laptop, being used by a maintenance worker.
Beyond software

Monitoring Solutions to Effectively Keep Distribution Centers Moving

Depiction of multiple devices showing TDK SensEI's edgeRX™ platform.

Real-Time Visibility into Material Handling Systems

Distribution centers depend on high‑speed material handling systems such as conveyors, sorters, motors, and automated storage and retrieval equipment. edgeRX™ provides real‑time insight directly at these assets, giving operations teams continuous visibility into system health and performance. This immediate awareness helps teams identify issues as they emerge and maintain smooth material flow throughout the facility.

Image of TDK SensEI's edgeRX™ LYNQ sensor.

Prevent Disruptions During Peak Throughput

Unexpected equipment issues can quickly cascade into missed SLAs, delayed shipments, and downstream congestion. edgeRX™ analyzes data locally at the edge to identify developing problems early, allowing teams to take action before failures impact throughput. This enables maintenance to be scheduled around operations—reducing emergency interventions and keeping fulfillment moving during peak demand.

TDK SensEI product edgeRX™ dashboard opened on a laptop, being used by a maintenance worker.

Scalable Intelligence Across High-Volume Operations

Distribution networks often span multiple facilities, each with thousands of assets operating continuously. edgeRX™ delivers a scalable, edge-based intelligence layer that simplifies deployment across systems and sites without overwhelming networks or centralized infrastructure. This approach supports consistent maintenance strategies, faster rollout, and reliable performance as operations scale.

Beyond software

Monitoring Solutions to Effectively Keep Distribution Centers Moving

Depiction of multiple devices showing TDK SensEI's edgeRX™ platform.

Real-Time Visibility into Material Handling Systems

Distribution centers depend on high‑speed material handling systems such as conveyors, sorters, motors, and automated storage and retrieval equipment. edgeRX™ provides real‑time insight directly at these assets, giving operations teams continuous visibility into system health and performance. This immediate awareness helps teams identify issues as they emerge and maintain smooth material flow throughout the facility.

Image of TDK SensEI's edgeRX™ LYNQ sensor.

Prevent Disruptions During Peak Throughput

Unexpected equipment issues can quickly cascade into missed SLAs, delayed shipments, and downstream congestion. edgeRX™ analyzes data locally at the edge to identify developing problems early, allowing teams to take action before failures impact throughput. This enables maintenance to be scheduled around operations—reducing emergency interventions and keeping fulfillment moving during peak demand.

TDK SensEI product edgeRX™ dashboard opened on a laptop, being used by a maintenance worker.

Scalable Intelligence Across High-Volume Operations

Distribution networks often span multiple facilities, each with thousands of assets operating continuously. edgeRX™ delivers a scalable, edge-based intelligence layer that simplifies deployment across systems and sites without overwhelming networks or centralized infrastructure. This approach supports consistent maintenance strategies, faster rollout, and reliable performance as operations scale.

Got Questions?

edgeRX™ uses edge‑based AI to learn the real‑world operating behavior of material handling assets. Unlike solutions that rely on predefined fault libraries or fixed thresholds, edgeRX™ identifies emerging fault states specific to conveyors, sortation systems, and automation equipment, delivering earlier and more actionable insights while minimizing unplanned downtime.

edgeRX™ can monitor critical distribution center assets including conveyor systems, sorters, motors, gearboxes, rollers, pumps, AS/RS systems, and other material handling equipment. The platform adapts to varying loads, speeds, and duty cycles common in DC operations.

Yes. edgeRX™ is designed to scale from individual assets to entire distribution centers and multi‑site fulfillment networks. It enables consistent deployment and standardized insights while adapting to site‑specific equipment and operating conditions.

Traditional monitoring systems trigger alerts when static limits are crossed, often creating alert fatigue during peak throughput or load changes. edgeRX™ uses adaptive AI models that understand what’s normal for each asset under varying operating conditions and only alerts when behavior meaningfully deviates.

Absolutely. edgeRX™ performs analytics directly at the asset level, allowing distribution centers to operate without constant cloud connectivity and avoiding the need to transmit large volumes of raw sensor data across the network.

Yes! edgeRX™ can be deployed on a single critical asset—such as a sorter or conveyor zone—or scaled across an entire distribution center, supporting both focused reliability initiatives and broader uptime and throughput improvement programs.

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Let’s talk about how machine learning is transforming maintenance and productivity​ in smart distribution centers.