Industrial · IoT · Germany
IoT Predictive Maintenance Platform for Mann+Hummel (Senzit)
Mann+Hummel needed to move their industrial filtration customers from reactive to predictive maintenance. [x]cube LABS helped build Senzit — the connected IoT platform that turned filter monitoring into a data-driven service.
The Challenge
Filter Maintenance Was Stuck in a Reactive Loop
Traditional filtration maintenance was time-based: change the filter on a fixed schedule whether it needed it or not. The result was either premature replacement (wasting money) or late replacement (risking equipment damage). Customers had no real visibility into the actual condition of their filters in operation.
Mann+Hummel saw an opportunity to use IoT to deliver predictive maintenance — but doing so required a connected platform that could collect filter condition data continuously, surface insights to operators, and integrate with the existing maintenance workflows of industrial customers.
Time-based maintenance is guesswork dressed up as a schedule. Real maintenance is driven by what the equipment is actually doing.
The Solution
A Connected IoT Platform for Predictive Filter Maintenance
The team built a connected IoT platform that captures filter condition data in real time, surfaces predictive maintenance insights to operators, and integrates with the maintenance workflows of industrial customers. The platform enables a fundamental shift: from time-based servicing to data-driven, condition-based servicing.
The result is a service offering that extends filter life, prevents unplanned downtime, and deepens the relationship between Mann+Hummel and their end customers.
IoT Sensor Data Capture
Continuous filter condition monitoring via connected sensors, replacing periodic manual checks with always-on visibility.
Predictive Maintenance Insights
Data-driven recommendations identify the right moment to service or replace filters, optimizing both cost and reliability.
Operator Dashboard
A clear, operator-facing dashboard surfaces filter status, alerts, and recommendations across an entire equipment fleet.
Workflow Integration
The platform integrates with existing maintenance workflows, fitting into how industrial customers already plan and execute service.
The Outcome
From Reactive Maintenance to Predictive Service
Timely, data-driven maintenance extended filter service life significantly. The shift from reactive to predictive maintenance drove measurable gains in retention and loyalty for Mann+Hummel.
Extended Filter Service Life
Condition-based servicing replaced fixed-schedule replacement, extending filter life and reducing unnecessary maintenance cost.
Higher Customer Retention
A data-driven service relationship deepened customer loyalty and increased Mann+Hummel’s share of the filtration value chain.
Predictive Maintenance Capability
Customers shifted from reactive servicing to proactive, data-driven maintenance — preventing downtime before it occurred.
New Service Revenue Model
The connected platform enabled new recurring service offerings beyond the original product sale.
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