BIG DATA
IOT APP
CASE STUDY
About the Client
The Challenge
Management needs to know the shifts in progress and accordingly the machine status, work order in progress, speed, production, efficiency, etc all in one dashboard. There are a range of detectors and sensors fitted to each machine and the data is critical to improving operational effectiveness.
The Solution
The Client wanted to have cost effective mobile application solution for Android and iOS mobiles. Hence Aagnia built a hybrid mobile app connecting with the sensors of the machineries.
Data availability
The Client wanted to have cost effective mobile application solution for Android and iOS mobiles. Hence Aagnia built a hybrid mobile app connecting with the sensors of the machineries.
Data Security
QR code-based login / signup
Data Driven
Combine appropriate real-time data in one place for a holistic view of your machines.
Gain Business insights
Metrics and all Key Performance Indicator (KPI) available for business insights.
MACHINE OPTIMIZATION
40% SAVING
Units
20+
The Technology stack
- Hybrid Mobile App (Android and iOS).
- HP & Node based APIs & Back End Server.
App Features
- IOT enabled real-time tracking of machines, data and assembly processes.
- Android and IOS device support.
Data Driven
Metrics and all key Performance Indicator (KPI) avaliable for business insights.
Optimization
Real insights help the team to immediately optimization the machines.
Reports
Power reports, Stoppage, Dashboard, Day wise reports, Operator details are all provided. Machine-wise and Article-wise various parameters are shown.
The Benefits
I. Improved production quality control.
II. Reducing waste of raw material and maintenance costs.
III. Data driven business decisions.
