Predictive maintenance for warehouse equipment at a global logistics provider
ScalaCode built a predictive maintenance system for the warehouses of a global logistics provider. IoT sensors track equipment health, a Python machine learning model predicts maintenance needs, and a Vue.js dashboard alerts staff before equipment fails.
A global logistics provider running warehouses
The client wanted to reduce equipment downtime and run its warehouses more efficiently. It needed live monitoring of equipment health, analytics that predict maintenance needs, and a connection to its existing warehouse management systems.
Why warehouse maintenance was hard to predict
Many equipment types
Each type of warehouse equipment had its own maintenance requirements.
High-frequency sensor data
Sensor readings arrive constantly and had to be processed in real time.
Legacy integration
The system had to work with the warehouse management tools and legacy systems already in place.
Sensor data turned into maintenance alerts
A machine learning model reads live sensor data and warns staff when equipment is likely to need attention.
- 01
IoT sensor monitoring
Sensors on the equipment capture key performance metrics.
- 02
Predictive maintenance model
A Python model built with scikit-learn forecasts maintenance needs from sensor and historical data.
- 03
Warehouse system API
A Node.js API connects the system with existing warehouse management tools, with MongoDB for storage.
- 04
Alerts dashboard
A Vue.js dashboard shows equipment performance live and raises predictive maintenance alerts.
- 05
Historical analysis
Past data is analysed to find maintenance patterns across the equipment.
Maintenance planned from equipment data
Warehouse teams monitor equipment health in real time, receive alerts before predicted failures, and use historical patterns to plan maintenance. The system runs alongside the client's existing warehouse management tools.
equipment monitoring
maintenance alerts
What Predictive maintenance runs on
Python, scikit-learn
IoT sensors
Vue.js
Node.js, MongoDB
Plan a build like Predictive maintenance for your business
- 30 minutes with the ScalaCode team
- What is realistic, what it costs and how long it takes
- You decide afterwards whether to build with us
